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Wednesday, May 11 • 11:00am - 12:30pm
Come Stream with Me: build performant, simple, parallel applications in C++ using RaftLib

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RaftLib aims to make authoring performant parallel applications in C++ simple. It utilizes the familiar semantics of stream operators to link multiple parallel actors into a single multi-threaded, streaming application. Stream processing is a compute paradigm that has been around for decades, yet until recently has failed to garner the same attention as other mainstream languages and libraries for parallel processing (e.g., C++, OpenMP, MPI). RaftLib aims to fully exploit the stream processing paradigm, enabling a full spectrum of streaming graph optimizations, while providing a platform for the exploration of integrability with legacy C/C++ code. RaftLib is built as a C++ template library, enabling programmers to utilize the robust C++ standard library, and legacy code, along with RaftLib’s parallelization framework. This session covers what RaftLib is, how it works, how to use it, and lastly we'll have some hands on application building.

avatar for Jonathan Beard

Jonathan Beard

Staff Research Engineer, ARM Inc.
Jonathan Beard received a BS (Biology) and BA (International Studies) in 2005 from the Louisiana State University, MS (Bioinformatics) in 2010 from The Johns Hopkins University, and a PhD in Computer Science from Washington University in St. Louis in 2015. Jonathan served as a U.S... Read More →

Wednesday May 11, 2016 11:00am - 12:30pm MDT