|Albert Sidelnik, Ph.D.
Albert Sidelnik joined NVIDIA Research in July 2013. He completed his Ph.D in Computer Science from the University of Illinois at Urbana-Champaign. His area of research is developing new programming models and compiler optimizations for massively parallel architectures. He has previously interned at NVIDIA Research, IBM TJ Watson, and Cray Inc. In 2010, he was a member of the team that won the HPC Challenge Class II Award for most productive system. He is also a three-time recipient of the NVIDIA Graduate Fellowship.
|Research Interests: |
Compilers, Parallel Architectures, Runtime Systems, Dataflow