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职业迁徙
个人简介
I am a Principal Member of Technical Staff (PMTS) at AMD Research.
My research interests are at a cross-section of designing novel Deep Learning (DL)/Machine Learning (ML) algorithms that scale-up (on a compute node) and scale-out (on clusters/supercomputers) (TACO'18, EuroMPI/USA'17, BigData'16, HiPC'16, Arxiv'16). I am also interested in applying DL/ML approaches to problems in HPC (HPDC'18, iWAPT'18, IPDPS'16), Chemistry (KDD'18, WACV'18, JCC'17), and question routing (ECML-PKDD'18).
Previously, I have been involved in designing scalable programming models and communication subsystems A by-product of our research in PGAS programming models ( Global Arrays ) is Communication Runtime for Extreme Scale (ComEx). ComEx is released with Global Arrays. During PhD, I was heavily involved in designing MPI runtimes with InfiniBand and other interconnects. My research is integrated with MVAPICH (300K downloads in last decade!!).
My research interests are at a cross-section of designing novel Deep Learning (DL)/Machine Learning (ML) algorithms that scale-up (on a compute node) and scale-out (on clusters/supercomputers) (TACO'18, EuroMPI/USA'17, BigData'16, HiPC'16, Arxiv'16). I am also interested in applying DL/ML approaches to problems in HPC (HPDC'18, iWAPT'18, IPDPS'16), Chemistry (KDD'18, WACV'18, JCC'17), and question routing (ECML-PKDD'18).
Previously, I have been involved in designing scalable programming models and communication subsystems A by-product of our research in PGAS programming models ( Global Arrays ) is Communication Runtime for Extreme Scale (ComEx). ComEx is released with Global Arrays. During PhD, I was heavily involved in designing MPI runtimes with InfiniBand and other interconnects. My research is integrated with MVAPICH (300K downloads in last decade!!).
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PROCEEDINGS OF THE 52ND INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2023pp.524-534, (2023)
PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023pp.1133-1146, (2023)
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)pp.1-8, (2021)
E Aprà,E J Bylaska,W A de Jong,N Govind,K Kowalski,T P Straatsma,M Valiev,H J J van Dam,Y Alexeev, J Anchell,V Anisimov, F W Aquino,
Proceedings of the 34th ACM International Conference on Supercomputing (2020)
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