Listen "Stream Processing"
Episode Synopsis
Rob and Jason are joined by Jonathan Beard to discuss Stream Processing and the C++ Raft Library.
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. Army Officer through 2010 where he served in roles ranging from medical administrator to acting director of the medical informatics department for the U.S. Army in Europe. Jonathan's research interests include online modeling, stream parallel systems, streaming architectures, compute near data, and massively parallel processing. He is currently a Senior Research Engineer with ARM Research in Austin, Texas.
News
C++ Weekly
Clion 2016.1
Q & A: Bjarne Stroustrup previews C+17
Sub-processing with Modern C++
Jonathan Beard
@jonathan_beard
Jonathan Beard's website
Jonathan Beard on GitHub
Links
RaftLib
C++Now - Come Stream with Me: build performant, simple, parallel applications in C++ using RaftLib
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. Army Officer through 2010 where he served in roles ranging from medical administrator to acting director of the medical informatics department for the U.S. Army in Europe. Jonathan's research interests include online modeling, stream parallel systems, streaming architectures, compute near data, and massively parallel processing. He is currently a Senior Research Engineer with ARM Research in Austin, Texas.
News
C++ Weekly
Clion 2016.1
Q & A: Bjarne Stroustrup previews C+17
Sub-processing with Modern C++
Jonathan Beard
@jonathan_beard
Jonathan Beard's website
Jonathan Beard on GitHub
Links
RaftLib
C++Now - Come Stream with Me: build performant, simple, parallel applications in C++ using RaftLib
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