Profiling go code a beginners tutorial
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This document summarizes a presentation on profiling Go code. It introduces pprof, a tool created by Dave Cheney that makes profiling Go code easier. It demonstrates pprof by profiling a string processing program and showing the performance improvements from various optimizations. It recommends resources for learning more about profiling Go programs with pprof and high performance Go programming.
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The document discusses Samuel Lampa's first encounter with the programming language Elixir. It covers calculating GC ratios in DNA sequences, provides a DNA sequence example file, and compares Elixir processes to Go channels, noting that Elixir processes are named mailboxes tied to a process while Go channels are anonymous and separate from routines. The document is authored by Samuel Lampa from Uppsala University.Flow based programming an overview
Flow based programming an overviewSamuel Lampa
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This document provides an overview of flow-based programming (FBP). FBP is a programming paradigm where applications are defined as networks of black box processes that exchange data through predefined connections. These connections can be redefined without changing the internal processes, allowing for endless reconfiguration. FBP was invented in the 1960s and has seen a resurgence of interest with tools like NoFlo that allow building distributed applications as connected processes. The document discusses several open source FBP implementations and frameworks and provides examples of how FBP has been used to build applications and bioinformatics libraries.Python Generators - Talk at PySthlm meetup #15
Python Generators - Talk at PySthlm meetup #15Samuel Lampa
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Describing how you can use python generator functions to process a file without loading it all in memory before startingThe RDFIO Extension - A Status update
The RDFIO Extension - A Status updateSamuel Lampa
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RDFIO is an RDF import and query extension for MediaWiki. It allows users to import RDF triples into MediaWiki and query the triples using SPARQL. The architecture includes an in-memory RDF store to hold the triples and a SPARQL endpoint for querying. Future plans include enhancing editing capabilities via templates and importing triples on a per-page basis. Samuel Lampa presented RDFIO and is looking for additional ideas to improve the extension.My lightning talk at Go Stockholm meetup Aug 6th 2013
My lightning talk at Go Stockholm meetup Aug 6th 2013Samuel Lampa
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This document discusses flow-based programming, an approach to programming invented in the 1970s where the flow of data between components is emphasized. It was successfully used in several domains including data analysis, banking software, and digital signal processing. New implementations of flow-based programming include NoFlo for Node.js and GoFlow, an open-source implementation in Go. More information on flow-based programming can be found on the listed websites.Hooking up Semantic MediaWiki with external tools via SPARQL
Hooking up Semantic MediaWiki with external tools via SPARQLSamuel Lampa
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This document discusses integrating Semantic MediaWiki (SMW) with external tools using the RDFIO extension. It describes the motivation for RDFIO as allowing manual schema exploration, automated data generation, and community collaboration. RDFIO solves problems with SMW by allowing the choice of wiki page titles for RDF entities and exporting RDF in the original import format. Real-world uses of RDFIO include visualizing data on SMW pages and pulling data from R into SMW using SPARQL queries. The integration of SMW and Bioclipse is also discussed.Thesis presentation Samuel Lampa
Thesis presentation Samuel LampaSamuel Lampa
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Samuel Lampa presented his MSc thesis on integrating SWI-Prolog as a semantic querying tool in Bioclipse. He demonstrated [1] how SWI-Prolog can be used for semantic querying of biological data in RDF format within Bioclipse, [2] examples of SPARQL and Prolog code used to perform semantic queries, and [3] benchmarking of Prolog's performance as a semantic querying tool. The work adds new semantic querying functionality to Bioclipse using SWI-Prolog and demonstrates its ability to efficiently query biological data.3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse
3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in BioclipseSamuel Lampa
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This document summarizes Samuel Lampa's 2010 degree project on integrating SWI-Prolog for semantic reasoning in Bioclipse. It compares SWI-Prolog to other semantic tools like Jena and Pellet in terms of speed and expressiveness when querying biochemical data. Prolog code is presented for querying NMR spectrum data that finds molecules with peak values near a search value. SPARQL queries for the same use case are also shown. Observations indicate Prolog is fastest while SPARQL is easier to understand but Prolog allows easier parameter changes and logic reuse. A final presentation was planned for April 28, 2010.2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse
2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in BioclipseSamuel Lampa
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Contains a small background on the semantic web, and shows how Prolog is thought to be used from inside Bioclipse research software for RDF data handling.Recently uploaded (20)
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Profiling go code a beginners tutorial
- 1. Profiling Go code A beginners tutorial Go Stockholm Meetup #7 High Performance Go Dec 5th 2013 Samuel Lampa @smllmp +samuellampa saml.rilspace.org Developer at www.uppmax.uu.se, www.farmbio.uu.se, rilpartner.se
- 2. Enable profiling: Standard way Not terribly user friendly :/
- 3. especially compared to python:
- 4. But, thanks to this Guy at Canonical (Dave Cheney) ... dave.cheney.net twitter.com/davecheney
- 5. we can now enable profiling in a much easier way:
- 6. How to run it
- 7. How to run it
- 8. How to run it
- 9. Call graph as PDF, weighted by execution time
- 10. A few more options ...
- 11. Zoomable / Scrollable SVG in browser
- 12. A few performance tricks for string processing...
- 13. Version 1
- 14. Version 2 Table optimization
- 15. Version 3 Using bufio Scanner(), new in Go 1.2
- 16. Version 4 Using pointers for counters
- 17. Performance improvement, version 1-4
- 18. Creds goes to ... Roger Peppe, also at Canonical, for help with the optimizations, and the final optimized version! twitter.com/rogpeppe
- 19. Learn more blog.golang.org/profiling-go-programs tinyurl.com/go-pprof-win (Using pprof on Windows) blog.cloudflare.com/recycling-memory-buffers-in-go saml.rilspace.org/moar-languagez-gc-content-in-pytho n-d-fpc-c-and-c Also, don't miss gplus.to/golangplus golangweekly.com
- 20. Thank you!