oneAPI spec & Industry Panel
Speaker(s)
Ronan Keryell
Ronan Keryell is principal software engineer at Xilinx Research Labs. He works on SYCL C++-based programming models for heterogeneous system like FPGA and CGRA. He is the specification editor of the SYCL standard, member of the SYCL, SPIR & OpenCL standard committees from Khronos Group & ISO C++ committee. Ronan Keryell received his MSc in Electrical Engineering and PhD in Computer Science in 1992 from École Normale Supérieure of Paris & University of Paris Sud (France), on the design of a massively parallel RISC-based VLIW-SIMD graphics computer and its programming environment. He was co-founder of 3 start-ups, mainly in high-performance computing, was the technical lead of the Par4All automatic parallelizer at SILKAN, targeting OpenMP, CUDA & OpenCL from sequential C & Fortran. Before joining Xilinx, he worked at AMD on programming models for GPU.
Nevin Liber
Nevin Liber is a computer scientist in the ALCF (Argonne Leadership Computing Facility) division of Argonne National Laboratory, where he works on the oneAPI/DPC++/SYCL backend for Kokkos for Aurora. He also represents Argonne on the SYCL and C++ Committees, the latter as Vice Chair of LEWGI/SG18.
Penporn Koanantakool
Penporn Koanantakool is a senior software engineer at Google. She leads TensorFlow’s performance optimization collaboration with Intel. Penporn holds a Ph.D. in computer science from the University of California, Berkeley, and a B.Eng. in computer engineering from Kasetsart University, Thailand.
Andrew Lumsdaine
Computing (NIAC), Andrew wears at least two hats: Laboratory Fellow at Pacific Northwest National Laboratory and Affiliate Professor in the Paul G. Allen School of Computer Science and Engineering. As a dual-appointee between UW and PNNL Andrew also has the title of “UW-PNNL Distinguished Faculty Fellow.” By spanning a university and a national laboratory he has the opportunity to work on basic research questions and then reduce those results to practice. His primary research interest is High Performance Computing, interpreted broadly. Of particular interest throughout most of his career has been scalable graph algorithms. He has also had a side interest in computational photography, which turned out to be surprising fruitful.
