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SUMMARY:Performance Engineering for Scalable AI
DESCRIPTION:Speaker: Xuhao Chen\, Research Scientist\, MIT CSAIL\n\n\n\nHosted by Stevens Institute of Technology \n\n\n\nLocation: Gateway North 303 (with virtual option)\n\n\n\nABSTRACT\n\n\n\nDue to massive size\, complex algorithms and irregular data structures\, AI applications are expensive and hard to scale\, which poses great challenges in computing system design. \n\n\n\nIn this talk\, I will discuss my approach called cross-stack performance engineering\, to address this challenge. I will describe software and hardware system design principles\, optimization techniques and automation methodologies\, across different layers of the system stack. I will show promising results to demonstrate that this cross-stack approach is effective to make AI scalable. \n\n\n\nBIOGRAPHY\n\n\n\nXuhao Chen is a Research Scientist at MIT CSAIL. Dr. Chen is broadly interested in parallel systems and architectures\, with a focus on AI and big-data applications. His recent work aims to make AI scalable by designing efficient algorithms\, software systems and hardware accelerators. His work has been published in OSDI\, ISCA\, MICRO\, VLDB\, ICS\, etc. \n\n\n\nZoom link: https://stevens.zoom.us/j/91365277622
URL:https://njbda.org/event/performance-engineering-for-scalable-ai/
LOCATION:Gateway Academic Center\, 6th Street Lot\, 601 Hudson St\, Hoboken\, New Jersey\, 07030\, United States
CATEGORIES:lectures/talks
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