�ݺ�ߣshows by User: anuphariharan

�ݺ�ߣshows by User: anuphariharan / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: anuphariharan / Sun, 02 Mar 2014 10:16:24 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: anuphariharan Age of Quantum computing /slideshow/quantum-computing-31817641/31817641 quantumcomputing-140302101624-phpapp01
In the 2011 book “Physics of the Future”, author Michio Kaku predicted that Moore’s Law will end and this would turn Silicon Valley into rust if an alternative and suitable replacement for silicon was not found. For the last 4 decades, Moore’s Law came about to represent unstoppable technological progress. At its heart was the observation that the number of transistors fabricated onto a chip would double every two years and that the cost would also fall off at a similar rate. It is very important to note that this law is an observation and not an actual physical or natural law. However, as of 2010 the update to the International Technology Roadmap for Semiconductors has shown growth slowing by 2013 after which densities are going to double only every three years. We are hitting the limits of the number of electrons that can be fit in a given area. One option to overcome this limitation is to create quantum computers that will take advantage of the quantum character of molecules to perform the processing tasks of a conventional computer. Quantum computers could very possibly one day be able to replace silicon chips, just as the transistor replaced vacuum tube.]]>
In the 2011 book “Physics of the Future”, author Michio Kaku predicted that Moore’s Law will end and this would turn Silicon Valley into rust if an alternative and suitable replacement for silicon was not found. For the last 4 decades, Moore’s Law came about to represent unstoppable technological progress. At its heart was the observation that the number of transistors fabricated onto a chip would double every two years and that the cost would also fall off at a similar rate. It is very important to note that this law is an observation and not an actual physical or natural law. However, as of 2010 the update to the International Technology Roadmap for Semiconductors has shown growth slowing by 2013 after which densities are going to double only every three years. We are hitting the limits of the number of electrons that can be fit in a given area. One option to overcome this limitation is to create quantum computers that will take advantage of the quantum character of molecules to perform the processing tasks of a conventional computer. Quantum computers could very possibly one day be able to replace silicon chips, just as the transistor replaced vacuum tube.]]> Sun, 02 Mar 2014 10:16:24 GMT /slideshow/quantum-computing-31817641/31817641 anuphariharan@slideshare.net(anuphariharan) Age of Quantum computing anuphariharan In the 2011 book “Physics of the Future”, author Michio Kaku predicted that Moore’s Law will end and this would turn Silicon Valley into rust if an alternative and suitable replacement for silicon was not found. For the last 4 decades, Moore’s Law came about to represent unstoppable technological progress. At its heart was the observation that the number of transistors fabricated onto a chip would double every two years and that the cost would also fall off at a similar rate. It is very important to note that this law is an observation and not an actual physical or natural law. However, as of 2010 the update to the International Technology Roadmap for Semiconductors has shown growth slowing by 2013 after which densities are going to double only every three years. We are hitting the limits of the number of electrons that can be fit in a given area. One option to overcome this limitation is to create quantum computers that will take advantage of the quantum character of molecules to perform the processing tasks of a conventional computer. Quantum computers could very possibly one day be able to replace silicon chips, just as the transistor replaced vacuum tube. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/quantumcomputing-140302101624-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the 2011 book “Physics of the Future”, author Michio Kaku predicted that Moore’s Law will end and this would turn Silicon Valley into rust if an alternative and suitable replacement for silicon was not found. For the last 4 decades, Moore’s Law came about to represent unstoppable technological progress. At its heart was the observation that the number of transistors fabricated onto a chip would double every two years and that the cost would also fall off at a similar rate. It is very important to note that this law is an observation and not an actual physical or natural law. However, as of 2010 the update to the International Technology Roadmap for Semiconductors has shown growth slowing by 2013 after which densities are going to double only every three years. We are hitting the limits of the number of electrons that can be fit in a given area. One option to overcome this limitation is to create quantum computers that will take advantage of the quantum character of molecules to perform the processing tasks of a conventional computer. Quantum computers could very possibly one day be able to replace silicon chips, just as the transistor replaced vacuum tube.

Age of Quantum computing from Anup Hariharan Nair

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0 Presemtation Tier Optimizations /anuphariharan/presemtation-tier-optimizations presemtationtieroptimizations-120728160957-phpapp01
Performance is the most important attribute for success of any commercial and Enterprise Software. In a client server environment, developers focus a lot on optimizing the Data and Logical Tiers. Optimization of Presentation Tier which is responsible for more than 30 % of performance is usually ignored. The document is developed with the intension to teach the technical staff on Optimizing the Presentation Tier which significantly improves the performance of the Client Server applications.]]>
Performance is the most important attribute for success of any commercial and Enterprise Software. In a client server environment, developers focus a lot on optimizing the Data and Logical Tiers. Optimization of Presentation Tier which is responsible for more than 30 % of performance is usually ignored. The document is developed with the intension to teach the technical staff on Optimizing the Presentation Tier which significantly improves the performance of the Client Server applications.]]> Sat, 28 Jul 2012 16:09:54 GMT /anuphariharan/presemtation-tier-optimizations anuphariharan@slideshare.net(anuphariharan) Presemtation Tier Optimizations anuphariharan Performance is the most important attribute for success of any commercial and Enterprise Software. In a client server environment, developers focus a lot on optimizing the Data and Logical Tiers. Optimization of Presentation Tier which is responsible for more than 30 % of performance is usually ignored. The document is developed with the intension to teach the technical staff on Optimizing the Presentation Tier which significantly improves the performance of the Client Server applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presemtationtieroptimizations-120728160957-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Performance is the most important attribute for success of any commercial and Enterprise Software. In a client server environment, developers focus a lot on optimizing the Data and Logical Tiers. Optimization of Presentation Tier which is responsible for more than 30 % of performance is usually ignored. The document is developed with the intension to teach the technical staff on Optimizing the Presentation Tier which significantly improves the performance of the Client Server applications.

Presemtation Tier Optimizations from Anup Hariharan Nair

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0 Integrated ALM using Microsoft 2012 Solutions /slideshow/integrated-alm-using-microsoft-2012-solutions/13785640 integratedalm-120728071939-phpapp02
Integrated ALM using Microsoft technologies improves the overall development efficiency by up to 30%. All in One Solution provides the best overall value and utility versus point solutions because start-up and recurring costs are normally less, features are better integrated, and reporting is much more seamless and robust. ]]>
Integrated ALM using Microsoft technologies improves the overall development efficiency by up to 30%. All in One Solution provides the best overall value and utility versus point solutions because start-up and recurring costs are normally less, features are better integrated, and reporting is much more seamless and robust. ]]> Sat, 28 Jul 2012 07:19:38 GMT /slideshow/integrated-alm-using-microsoft-2012-solutions/13785640 anuphariharan@slideshare.net(anuphariharan) Integrated ALM using Microsoft 2012 Solutions anuphariharan Integrated ALM using Microsoft technologies improves the overall development efficiency by up to 30%. All in One Solution provides the best overall value and utility versus point solutions because start-up and recurring costs are normally less, features are better integrated, and reporting is much more seamless and robust. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/integratedalm-120728071939-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Integrated ALM using Microsoft technologies improves the overall development efficiency by up to 30%. All in One Solution provides the best overall value and utility versus point solutions because start-up and recurring costs are normally less, features are better integrated, and reporting is much more seamless and robust.

Integrated ALM using Microsoft 2012 Solutions from Anup Hariharan Nair

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0 Comparison of Programming Platforms /slideshow/technology-wars-comparison-of-programming-platforms/11265734 technologywarsf-13275585609791-phpapp02-120126001929-phpapp02
C++ vs. Java vs. C# vs. php]]>
C++ vs. Java vs. C# vs. php]]> Thu, 26 Jan 2012 00:17:02 GMT /slideshow/technology-wars-comparison-of-programming-platforms/11265734 anuphariharan@slideshare.net(anuphariharan) Comparison of Programming Platforms anuphariharan C++ vs. Java vs. C# vs. php <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/technologywarsf-13275585609791-phpapp02-120126001929-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> C++ vs. Java vs. C# vs. php

Comparison of Programming Platforms from Anup Hariharan Nair

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0 Presentation Tier optimizations /slideshow/presentation-tier-optimization-patni-reviewed/8931647 presentationtieroptigateanuppatnireviewedfinal-13138219061734-phpapp01-110820013612-phpapp01
Organizations focus process optimization of Data Tier Application Tier Presentation Tier is usually ignored. Presentation Tier is responsible for more than 30% of Client/Server application performance.]]>
Organizations focus process optimization of Data Tier Application Tier Presentation Tier is usually ignored. Presentation Tier is responsible for more than 30% of Client/Server application performance.]]> Sat, 20 Aug 2011 01:33:06 GMT /slideshow/presentation-tier-optimization-patni-reviewed/8931647 anuphariharan@slideshare.net(anuphariharan) Presentation Tier optimizations anuphariharan Organizations focus process optimization of Data Tier Application Tier Presentation Tier is usually ignored. Presentation Tier is responsible for more than 30% of Client/Server application performance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationtieroptigateanuppatnireviewedfinal-13138219061734-phpapp01-110820013612-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Organizations focus process optimization of Data Tier Application Tier Presentation Tier is usually ignored. Presentation Tier is responsible for more than 30% of Client/Server application performance.

Presentation Tier optimizations from Anup Hariharan Nair

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0 https://cdn.slidesharecdn.com/profile-photo-anuphariharan-48x48.jpg?cb=1528494275 Stack Experience: .NET (6 years), LAMP (2 years) Language: C#, C++, Java, PHP, Python, F#, R, Rust Web: JavaScript, ES6, AngularJS, React, TypeScript, Electron, Cordova, Bootstrap, HTML5 (Bootstrap, YUI Grids) and CSS3 (SCSS/Sass) Database: MS SQL server, MySQL, Sybase, PostgreSQL, Apache Cassandra, MongoDB Framework: .NET Xamarin ASP.NET Web API SignalR WPF WCF, C++ QT, Python Django, PHP Joomla! WordPress Drupal, NodeJS Source Control: TFS, Git, SVN, CVS Cloud Vendors: Azure, AWS, Google Compute Engine Known Concept: OOP, Functional Programming, Multitenancy, Multi-threading and Parallel programming, Relational Data, TCP/IP, SOA, Design patterns, Virtualization (Hypervisors, Containers... www.hificoding.com/ https://cdn.slidesharecdn.com/ss_thumbnails/quantumcomputing-140302101624-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/quantum-computing-31817641/31817641 Age of Quantum computing https://cdn.slidesharecdn.com/ss_thumbnails/presemtationtieroptimizations-120728160957-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds anuphariharan/presemtation-tier-optimizations Presemtation Tier Opti... https://cdn.slidesharecdn.com/ss_thumbnails/integratedalm-120728071939-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/integrated-alm-using-microsoft-2012-solutions/13785640 Integrated ALM using M...