Kamalavasan Kamalakkannan
Computer Scientist at Los Alamos National Laboratory
Los Alamos, New Mexico, United States
Summary
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Senior🎓
Top SchoolKamalavasan Kamalakkannan is a computer scientist with a PhD from the University of Warwick and over a decade of hands-on experience accelerating compute-intensive applications across FPGAs, GPUs, multi-core CPUs and custom DPUs. His doctoral work created a high-level workflow to map structured mesh-based applications to FPGAs—published at top conferences like ICS and IPDPS—reducing development time and lowering hardware design barriers. At Los Alamos National Laboratory and in industry roles at Wave Computing and Intel, he has bridged research and production, delivering FPGA HLD/SYCL implementations, CUDA GPU optimizations, and scalable solver integrations for industrial CFD. Known for strong analytical and debugging skills, he combines theoretical digital systems knowledge with practical toolchain and SDK troubleshooting to identify bottlenecks and trade-offs. A background that spans Verilog, Python automation, OpenMP/MPI and constraint-based mapping gives him an uncommon ability to translate algorithmic needs into efficient hardware-aware implementations.
10 years of coding experience
3 years of employment as a software developer
Engineer’s Degree Electronic and Telecommunication, Engineer’s Degree Electronic and Telecommunication at University of MoratuwaDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Warwick
English, Tamil
Stackoverflow
1reputation
0reached
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Github Skills (12)
placement3
translator3
clang2
file-format2
iso2
lossless2
standardized2
parallel2
api2
mesh2
jpeg1
hdr1
Programming languages (1)
Github contributions (5)
OP-DSL/StencilsOnFPGA
Oct 2020 - Dec 2022
Contributions:1 release, 52 commits, 7 PRs in 2 years 2 months
OP-DSL/Tridsolver-FPGA
Oct 2021 - Apr 2022
Contributions:1 release, 60 commits, 54 pushes in 5 months
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