Samuel Antao is with IBM Research, based in Daresbury, UK, where he develops tools and techniques to help scientific and cognitive workloads take full advantage of HPC clusters. Samuel has a background in HPC compiler research, where he designed programming models and code generation techniques for accelerators, including GPUs. His interests include hardware acceleration, computer architecture and arithmetic, code generation and instrumentation, as well as automated application profiling and tuning. His research aims at creating the right ecosystem to make complex HPC systems easy to use and accessible to everyone.
Samuel has a PhD degree in Electrical and Computer Engineering from University of Lisbon, Portugal, where he designed a range of embedded systems and high performance accelerators for signal processing and cryptography.