ºÝºÝߣshows by User: ganesannarayanasamy / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ganesannarayanasamy / Thu, 31 Oct 2024 08:06:10 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ganesannarayanasamy Empowering Engineering Faculties: Bridging the Gap with Emerging Technologies /slideshow/empowering-engineering-faculties-bridging-the-gap-with-emerging-technologies/272909636 empoweringfaculties-241031080610-055a52a1
This is to help faculties to develop new skills for many more job opportunities in the Technology. These initiatives aim to modernize engineering education, making institutions competitive and relevant in the global tech landscape​]]>

This is to help faculties to develop new skills for many more job opportunities in the Technology. These initiatives aim to modernize engineering education, making institutions competitive and relevant in the global tech landscape​]]>
Thu, 31 Oct 2024 08:06:10 GMT /slideshow/empowering-engineering-faculties-bridging-the-gap-with-emerging-technologies/272909636 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Empowering Engineering Faculties: Bridging the Gap with Emerging Technologies ganesannarayanasamy This is to help faculties to develop new skills for many more job opportunities in the Technology. These initiatives aim to modernize engineering education, making institutions competitive and relevant in the global tech landscape​ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/empoweringfaculties-241031080610-055a52a1-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is to help faculties to develop new skills for many more job opportunities in the Technology. These initiatives aim to modernize engineering education, making institutions competitive and relevant in the global tech landscape​
Empowering Engineering Faculties: Bridging the Gap with Emerging Technologies from Ganesan Narayanasamy
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Chip Design Curriculum development Residency program /slideshow/chip-design-curriculum-development-residency-program/251904803 chipdesignresidencyprogramupdated-248-read-only-220602074647-473ee5c1
Chip Design Curriculum development Residency program]]>

Chip Design Curriculum development Residency program]]>
Thu, 02 Jun 2022 07:46:47 GMT /slideshow/chip-design-curriculum-development-residency-program/251904803 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Chip Design Curriculum development Residency program ganesannarayanasamy Chip Design Curriculum development Residency program <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chipdesignresidencyprogramupdated-248-read-only-220602074647-473ee5c1-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Chip Design Curriculum development Residency program
Chip Design Curriculum development Residency program from Ganesan Narayanasamy
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Basics of Digital Design and Verilog /slideshow/basics-of-digital-design-and-verilog/250056948 digitaldesignandverilog-210826140736
This presentation gives basics of Digital Design as well as Verilog HDL]]>

This presentation gives basics of Digital Design as well as Verilog HDL]]>
Thu, 26 Aug 2021 14:07:35 GMT /slideshow/basics-of-digital-design-and-verilog/250056948 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Basics of Digital Design and Verilog ganesannarayanasamy This presentation gives basics of Digital Design as well as Verilog HDL <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/digitaldesignandverilog-210826140736-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation gives basics of Digital Design as well as Verilog HDL
Basics of Digital Design and Verilog from Ganesan Narayanasamy
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180 nm Tape out experience using Open POWER ISA /slideshow/180-nm-tape-out-experience-using-open-power-isa/249878441 iitroorkee2021libresoc-210729012100
The Libre-SOC Project aims to create an entirely Libre-Licensed, transparently-developed fully auditable Hybrid 3D CPU-GPU-VPU, using the Supercomputer-class OpenPOWER ISA as the foundation. Our first test ASIC is a 180nm "Fixed-Point" Power ISA v3.0B processor, 5.1mm x 5.9mm, as a proof-of-concept for the team, whose primary expertise is in Software Engineering. Software Engineering training brings a radically different approach to Hardware development: extensive unit tests, source code revision control, automated development tools are normal. Libre Project Management brings even more: bug trackers, mailing lists, auditable IRC logs and a wiki are standard fare for Libre Projects that are simply not normal Industry-Standard practice. This talk therefore goes through the workflow, from the original HDL through to the GDS-II layout, showing how we were able to keep track of the development that led to the IMEC 180nm tape-out in July 2021. In particular, by following a parallel development process involving "Real" and "Symbolic" Cell Libraries, developed by Chips4Makers, will be shown how our developers did not need to sign a Foundry NDA, but were still able to work side-by-side with a University that did. With this parallel development process, the University upheld their NDA obligations, and Libre-SOC were simultaneously able to honour its Transparency Objectives. ]]>

The Libre-SOC Project aims to create an entirely Libre-Licensed, transparently-developed fully auditable Hybrid 3D CPU-GPU-VPU, using the Supercomputer-class OpenPOWER ISA as the foundation. Our first test ASIC is a 180nm "Fixed-Point" Power ISA v3.0B processor, 5.1mm x 5.9mm, as a proof-of-concept for the team, whose primary expertise is in Software Engineering. Software Engineering training brings a radically different approach to Hardware development: extensive unit tests, source code revision control, automated development tools are normal. Libre Project Management brings even more: bug trackers, mailing lists, auditable IRC logs and a wiki are standard fare for Libre Projects that are simply not normal Industry-Standard practice. This talk therefore goes through the workflow, from the original HDL through to the GDS-II layout, showing how we were able to keep track of the development that led to the IMEC 180nm tape-out in July 2021. In particular, by following a parallel development process involving "Real" and "Symbolic" Cell Libraries, developed by Chips4Makers, will be shown how our developers did not need to sign a Foundry NDA, but were still able to work side-by-side with a University that did. With this parallel development process, the University upheld their NDA obligations, and Libre-SOC were simultaneously able to honour its Transparency Objectives. ]]>
Thu, 29 Jul 2021 01:21:00 GMT /slideshow/180-nm-tape-out-experience-using-open-power-isa/249878441 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) 180 nm Tape out experience using Open POWER ISA ganesannarayanasamy The Libre-SOC Project aims to create an entirely Libre-Licensed, transparently-developed fully auditable Hybrid 3D CPU-GPU-VPU, using the Supercomputer-class OpenPOWER ISA as the foundation. Our first test ASIC is a 180nm "Fixed-Point" Power ISA v3.0B processor, 5.1mm x 5.9mm, as a proof-of-concept for the team, whose primary expertise is in Software Engineering. Software Engineering training brings a radically different approach to Hardware development: extensive unit tests, source code revision control, automated development tools are normal. Libre Project Management brings even more: bug trackers, mailing lists, auditable IRC logs and a wiki are standard fare for Libre Projects that are simply not normal Industry-Standard practice. This talk therefore goes through the workflow, from the original HDL through to the GDS-II layout, showing how we were able to keep track of the development that led to the IMEC 180nm tape-out in July 2021. In particular, by following a parallel development process involving "Real" and "Symbolic" Cell Libraries, developed by Chips4Makers, will be shown how our developers did not need to sign a Foundry NDA, but were still able to work side-by-side with a University that did. With this parallel development process, the University upheld their NDA obligations, and Libre-SOC were simultaneously able to honour its Transparency Objectives. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iitroorkee2021libresoc-210729012100-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Libre-SOC Project aims to create an entirely Libre-Licensed, transparently-developed fully auditable Hybrid 3D CPU-GPU-VPU, using the Supercomputer-class OpenPOWER ISA as the foundation. Our first test ASIC is a 180nm &quot;Fixed-Point&quot; Power ISA v3.0B processor, 5.1mm x 5.9mm, as a proof-of-concept for the team, whose primary expertise is in Software Engineering. Software Engineering training brings a radically different approach to Hardware development: extensive unit tests, source code revision control, automated development tools are normal. Libre Project Management brings even more: bug trackers, mailing lists, auditable IRC logs and a wiki are standard fare for Libre Projects that are simply not normal Industry-Standard practice. This talk therefore goes through the workflow, from the original HDL through to the GDS-II layout, showing how we were able to keep track of the development that led to the IMEC 180nm tape-out in July 2021. In particular, by following a parallel development process involving &quot;Real&quot; and &quot;Symbolic&quot; Cell Libraries, developed by Chips4Makers, will be shown how our developers did not need to sign a Foundry NDA, but were still able to work side-by-side with a University that did. With this parallel development process, the University upheld their NDA obligations, and Libre-SOC were simultaneously able to honour its Transparency Objectives.
180 nm Tape out experience using Open POWER ISA from Ganesan Narayanasamy
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Workload Transformation and Innovations in POWER Architecture /slideshow/workload-transformation-and-innovations-in-power-architecture/249878432 workloadtransformationinnovationinpowerarchitecture-210729011539
IT Industry is going through two major transformations. One is adaption of AI and tight integration of the same in the commercial applications and enterprise workflow. Two the transformation in software architecture through the concepts like microservices and the cloud native architecture. These transformation alongside the aggressive adaption of IoT/mobile and 5G in all our day today activities is making the world operate in more real time manner which opens-up a new challenge to improve the hardware architecture to adapt to these requirements. These above two major transformation pushes the boundary of the entire systems stack making the designer rethink hardware. This talk presents you a picture of how the enterprise Industry leading POWER architecture is transforming to fulfill the performance demands of these newer generation workloads with primary focus on the AI acceleration on the chip. ]]>

IT Industry is going through two major transformations. One is adaption of AI and tight integration of the same in the commercial applications and enterprise workflow. Two the transformation in software architecture through the concepts like microservices and the cloud native architecture. These transformation alongside the aggressive adaption of IoT/mobile and 5G in all our day today activities is making the world operate in more real time manner which opens-up a new challenge to improve the hardware architecture to adapt to these requirements. These above two major transformation pushes the boundary of the entire systems stack making the designer rethink hardware. This talk presents you a picture of how the enterprise Industry leading POWER architecture is transforming to fulfill the performance demands of these newer generation workloads with primary focus on the AI acceleration on the chip. ]]>
Thu, 29 Jul 2021 01:15:39 GMT /slideshow/workload-transformation-and-innovations-in-power-architecture/249878432 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Workload Transformation and Innovations in POWER Architecture ganesannarayanasamy IT Industry is going through two major transformations. One is adaption of AI and tight integration of the same in the commercial applications and enterprise workflow. Two the transformation in software architecture through the concepts like microservices and the cloud native architecture. These transformation alongside the aggressive adaption of IoT/mobile and 5G in all our day today activities is making the world operate in more real time manner which opens-up a new challenge to improve the hardware architecture to adapt to these requirements. These above two major transformation pushes the boundary of the entire systems stack making the designer rethink hardware. This talk presents you a picture of how the enterprise Industry leading POWER architecture is transforming to fulfill the performance demands of these newer generation workloads with primary focus on the AI acceleration on the chip. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/workloadtransformationinnovationinpowerarchitecture-210729011539-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> IT Industry is going through two major transformations. One is adaption of AI and tight integration of the same in the commercial applications and enterprise workflow. Two the transformation in software architecture through the concepts like microservices and the cloud native architecture. These transformation alongside the aggressive adaption of IoT/mobile and 5G in all our day today activities is making the world operate in more real time manner which opens-up a new challenge to improve the hardware architecture to adapt to these requirements. These above two major transformation pushes the boundary of the entire systems stack making the designer rethink hardware. This talk presents you a picture of how the enterprise Industry leading POWER architecture is transforming to fulfill the performance demands of these newer generation workloads with primary focus on the AI acceleration on the chip.
Workload Transformation and Innovations in POWER Architecture from Ganesan Narayanasamy
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OpenPOWER Workshop at IIT Roorkee /slideshow/openpower-workshop-at-iit-roorkee/249739572 iitroorkeeopenpowerworkshopupdated-210715014649
July 16th 2021 , Friday for our newest workshop with DoMS, IIT Roorkee, Concept to Solutions using OpenPOWER Stack. It's time to discover advances in #DeepLearning tools and techniques from the world's leading innovators across industries, research, and public speakers. Register here: https://lnkd.in/ggxMq2N]]>

July 16th 2021 , Friday for our newest workshop with DoMS, IIT Roorkee, Concept to Solutions using OpenPOWER Stack. It's time to discover advances in #DeepLearning tools and techniques from the world's leading innovators across industries, research, and public speakers. Register here: https://lnkd.in/ggxMq2N]]>
Thu, 15 Jul 2021 01:46:48 GMT /slideshow/openpower-workshop-at-iit-roorkee/249739572 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) OpenPOWER Workshop at IIT Roorkee ganesannarayanasamy July 16th 2021 , Friday for our newest workshop with DoMS, IIT Roorkee, Concept to Solutions using OpenPOWER Stack. It's time to discover advances in #DeepLearning tools and techniques from the world's leading innovators across industries, research, and public speakers. Register here: https://lnkd.in/ggxMq2N <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iitroorkeeopenpowerworkshopupdated-210715014649-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> July 16th 2021 , Friday for our newest workshop with DoMS, IIT Roorkee, Concept to Solutions using OpenPOWER Stack. It&#39;s time to discover advances in #DeepLearning tools and techniques from the world&#39;s leading innovators across industries, research, and public speakers. Register here: https://lnkd.in/ggxMq2N
OpenPOWER Workshop at IIT Roorkee from Ganesan Narayanasamy
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Deep Learning Use Cases using OpenPOWER systems /slideshow/deep-learning-use-cases-using-openpower-systems/249738568 dlusecasesusingopenpower-210715001038
This presentation covers two uses cases using OpenPOWER Systems 1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board. 1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python. ]]>

This presentation covers two uses cases using OpenPOWER Systems 1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board. 1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python. ]]>
Thu, 15 Jul 2021 00:10:38 GMT /slideshow/deep-learning-use-cases-using-openpower-systems/249738568 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Deep Learning Use Cases using OpenPOWER systems ganesannarayanasamy This presentation covers two uses cases using OpenPOWER Systems 1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board. 1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dlusecasesusingopenpower-210715001038-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation covers two uses cases using OpenPOWER Systems 1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor&#39;s inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board. 1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python.
Deep Learning Use Cases using OpenPOWER systems from Ganesan Narayanasamy
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IBM BOA for POWER /slideshow/ibm-boa-for-power/249722020 boaforpower-210713235851
IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation.]]>

IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation.]]>
Tue, 13 Jul 2021 23:58:50 GMT /slideshow/ibm-boa-for-power/249722020 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) IBM BOA for POWER ganesannarayanasamy IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/boaforpower-210713235851-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation.
IBM BOA for POWER from Ganesan Narayanasamy
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OpenPOWER System Marconi100 /slideshow/openpower-system-marconi100/249722017 openpowersystematcineca-210713235309
This talks provides Marconi100 supercomputer features ,applications availbility as well as how one can make request to access this super computer ]]>

This talks provides Marconi100 supercomputer features ,applications availbility as well as how one can make request to access this super computer ]]>
Tue, 13 Jul 2021 23:53:08 GMT /slideshow/openpower-system-marconi100/249722017 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) OpenPOWER System Marconi100 ganesannarayanasamy This talks provides Marconi100 supercomputer features ,applications availbility as well as how one can make request to access this super computer <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openpowersystematcineca-210713235309-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talks provides Marconi100 supercomputer features ,applications availbility as well as how one can make request to access this super computer
OpenPOWER System Marconi100 from Ganesan Narayanasamy
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OpenPOWER Latest Updates /slideshow/openpower-latest-updates/249722007 openpowerlatestupdate-210713234528
This presentation covers various partners and collaborators who are currently working with OpenPOWER foundation ,Use cases of OpenPOWER systems in multiple Industries , OpenPOWER Workgroups and OpenCAPI features . ]]>

This presentation covers various partners and collaborators who are currently working with OpenPOWER foundation ,Use cases of OpenPOWER systems in multiple Industries , OpenPOWER Workgroups and OpenCAPI features . ]]>
Tue, 13 Jul 2021 23:45:27 GMT /slideshow/openpower-latest-updates/249722007 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) OpenPOWER Latest Updates ganesannarayanasamy This presentation covers various partners and collaborators who are currently working with OpenPOWER foundation ,Use cases of OpenPOWER systems in multiple Industries , OpenPOWER Workgroups and OpenCAPI features . <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openpowerlatestupdate-210713234528-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation covers various partners and collaborators who are currently working with OpenPOWER foundation ,Use cases of OpenPOWER systems in multiple Industries , OpenPOWER Workgroups and OpenCAPI features .
OpenPOWER Latest Updates from Ganesan Narayanasamy
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POWER10 innovations for HPC /slideshow/power10-innovations-for-hpc/249722004 power10innovations-210713234045
The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations.]]>

The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations.]]>
Tue, 13 Jul 2021 23:40:44 GMT /slideshow/power10-innovations-for-hpc/249722004 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) POWER10 innovations for HPC ganesannarayanasamy The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/power10innovations-210713234045-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations.
POWER10 innovations for HPC from Ganesan Narayanasamy
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Deeplearningusingcloudpakfordata /slideshow/deeplearningusingcloudpakfordata/249721976 deeplearningusingcloudpakfordata-210713231201
Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers.And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them ]]>

Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers.And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them ]]>
Tue, 13 Jul 2021 23:12:00 GMT /slideshow/deeplearningusingcloudpakfordata/249721976 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Deeplearningusingcloudpakfordata ganesannarayanasamy Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers.�And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningusingcloudpakfordata-210713231201-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers.�And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them
Deeplearningusingcloudpakfordata from Ganesan Narayanasamy
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OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray Camera at the Swiss Light Source synchrotron /slideshow/opencapibased-image-analysis-pipeline-for-18-gbs-kilohertzframerate-xray-camera-at-the-swiss-light-source-synchrotron/249721965 20210630psiopencapicineca-210713230438
Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source.]]>

Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source.]]>
Tue, 13 Jul 2021 23:04:37 GMT /slideshow/opencapibased-image-analysis-pipeline-for-18-gbs-kilohertzframerate-xray-camera-at-the-swiss-light-source-synchrotron/249721965 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray Camera at the Swiss Light Source synchrotron ganesannarayanasamy Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20210630psiopencapicineca-210713230438-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source.
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray Camera at the Swiss Light Source synchrotron from Ganesan Narayanasamy
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AI in healthcare and Automobile Industry using OpenPOWER/IBM POWER9 systems /slideshow/ai-in-healthcare-and-automobile-industry-using-openpoweribm-power9-systems/249720700 aiinhealthcareandindustry-210713150530
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Industires such as Healthcare and Automotive , the AI ladder and AI life cycle and infrastructure architecture considerations. ]]>

As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Industires such as Healthcare and Automotive , the AI ladder and AI life cycle and infrastructure architecture considerations. ]]>
Tue, 13 Jul 2021 15:05:29 GMT /slideshow/ai-in-healthcare-and-automobile-industry-using-openpoweribm-power9-systems/249720700 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) AI in healthcare and Automobile Industry using OpenPOWER/IBM POWER9 systems ganesannarayanasamy As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Industires such as Healthcare and Automotive , the AI ladder and AI life cycle and infrastructure architecture considerations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiinhealthcareandindustry-210713150530-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Industires such as Healthcare and Automotive , the AI ladder and AI life cycle and infrastructure architecture considerations.
AI in healthcare and Automobile Industry using OpenPOWER/IBM POWER9 systems from Ganesan Narayanasamy
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AI in healthcare - Use Cases /slideshow/ai-in-healthcare-use-cases/248937654 aiinhealthcareapr2021-210603125931
This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation . ]]>

This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation . ]]>
Thu, 03 Jun 2021 12:59:31 GMT /slideshow/ai-in-healthcare-use-cases/248937654 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) AI in healthcare - Use Cases ganesannarayanasamy This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation . <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiinhealthcareapr2021-210603125931-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation .
AI in healthcare - Use Cases from Ganesan Narayanasamy
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AI in Health Care using IBM Systems/OpenPOWER systems /slideshow/ai-in-health-care-using-ibm-systemsopenpower-systems/248937494 2021-aiinhealthcarev3-210603125539
Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.]]>

Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.]]>
Thu, 03 Jun 2021 12:55:39 GMT /slideshow/ai-in-health-care-using-ibm-systemsopenpower-systems/248937494 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) AI in Health Care using IBM Systems/OpenPOWER systems ganesannarayanasamy Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2021-aiinhealthcarev3-210603125539-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&amp;D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.
AI in Health Care using IBM Systems/OpenPOWER systems from Ganesan Narayanasamy
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AI in Healh Care using IBM POWER systems /ganesannarayanasamy/ai-in-healh-care-using-ibm-power-systems 2021-aiinhealthcarev3-210603121127
Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.]]>

Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.]]>
Thu, 03 Jun 2021 12:11:26 GMT /ganesannarayanasamy/ai-in-healh-care-using-ibm-power-systems ganesannarayanasamy@slideshare.net(ganesannarayanasamy) AI in Healh Care using IBM POWER systems ganesannarayanasamy Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2021-aiinhealthcarev3-210603121127-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible. IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world. Those Supercomputers are helping to prevail this outbreak and also future ones. They have completely different features compared to proposals from other players of this Supercomputers market. We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&amp;D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.
AI in Healh Care using IBM POWER systems from Ganesan Narayanasamy
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Poster from NUS /slideshow/poster-from-nus/245700212 poster-acmmm-20ibm-210405042617
Moving object recognition (MOR) corresponds to the localization and classification of moving objects in videos. Discriminating moving objects from static objects and background in videos is an essential task for many computer vision applications. MOR has widespread applications in intelligent visual surveillance, intrusion detection, anomaly detection and monitoring, industrial sites monitoring, detection-based tracking, autonomous vehicles, etc. In this session, Murari provided a poster about the deep learning algorithms to identify both locations and corresponding categories of moving objects with a convolutional network. The challenges in developing such algorithms have been discussed. ]]>

Moving object recognition (MOR) corresponds to the localization and classification of moving objects in videos. Discriminating moving objects from static objects and background in videos is an essential task for many computer vision applications. MOR has widespread applications in intelligent visual surveillance, intrusion detection, anomaly detection and monitoring, industrial sites monitoring, detection-based tracking, autonomous vehicles, etc. In this session, Murari provided a poster about the deep learning algorithms to identify both locations and corresponding categories of moving objects with a convolutional network. The challenges in developing such algorithms have been discussed. ]]>
Mon, 05 Apr 2021 04:26:16 GMT /slideshow/poster-from-nus/245700212 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Poster from NUS ganesannarayanasamy Moving object recognition (MOR) corresponds to the localization and classification of moving objects in videos. Discriminating moving objects from static objects and background in videos is an essential task for many computer vision applications. MOR has widespread applications in intelligent visual surveillance, intrusion detection, anomaly detection and monitoring, industrial sites monitoring, detection-based tracking, autonomous vehicles, etc. In this session, Murari provided a poster about the deep learning algorithms to identify both locations and corresponding categories of moving objects with a convolutional network. The challenges in developing such algorithms have been discussed. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/poster-acmmm-20ibm-210405042617-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Moving object recognition (MOR) corresponds to the localization and classification of moving objects in videos. Discriminating moving objects from static objects and background in videos is an essential task for many computer vision applications. MOR has widespread applications in intelligent visual surveillance, intrusion detection, anomaly detection and monitoring, industrial sites monitoring, detection-based tracking, autonomous vehicles, etc. In this session, Murari provided a poster about the deep learning algorithms to identify both locations and corresponding categories of moving objects with a convolutional network. The challenges in developing such algorithms have been discussed.
Poster from NUS from Ganesan Narayanasamy
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SAP HANA on POWER9 systems /slideshow/sap-hana-on-power9-systems/245683097 2021-psna-aiml4industry4-210404171907
Mr Ander from IBM Europe presented the features of SAP HANA on POWER9 system as part of 3 days International Summit using OpenPOWER/POWER Systems.]]>

Mr Ander from IBM Europe presented the features of SAP HANA on POWER9 system as part of 3 days International Summit using OpenPOWER/POWER Systems.]]>
Sun, 04 Apr 2021 17:19:07 GMT /slideshow/sap-hana-on-power9-systems/245683097 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) SAP HANA on POWER9 systems ganesannarayanasamy Mr Ander from IBM Europe presented the features of SAP HANA on POWER9 system as part of 3 days International Summit using OpenPOWER/POWER Systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2021-psna-aiml4industry4-210404171907-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Mr Ander from IBM Europe presented the features of SAP HANA on POWER9 system as part of 3 days International Summit using OpenPOWER/POWER Systems.
SAP HANA on POWER9 systems from Ganesan Narayanasamy
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Graphical Structure Learning accelerated with POWER9 /slideshow/graphical-structure-learning-accelerated-with-power9/245683035 powertalkongraphicalstructurelearning-210404171114
Prof Arghya Das from University of Wisconsin - Platteville presented as part of the 3 days International summit using OpenpOWER Systems]]>

Prof Arghya Das from University of Wisconsin - Platteville presented as part of the 3 days International summit using OpenpOWER Systems]]>
Sun, 04 Apr 2021 17:11:14 GMT /slideshow/graphical-structure-learning-accelerated-with-power9/245683035 ganesannarayanasamy@slideshare.net(ganesannarayanasamy) Graphical Structure Learning accelerated with POWER9 ganesannarayanasamy Prof Arghya Das from University of Wisconsin - Platteville presented as part of the 3 days International summit using OpenpOWER Systems <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/powertalkongraphicalstructurelearning-210404171114-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Prof Arghya Das from University of Wisconsin - Platteville presented as part of the 3 days International summit using OpenpOWER Systems
Graphical Structure Learning accelerated with POWER9 from Ganesan Narayanasamy
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