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Tuesday, May 12 • 1:00pm - 1:30pm
Sinian: A Heterogeneous Computing Framework for OCP-Compliant Accelerators

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OAM or ODSA complaint accelerators have much more efficient interconnection between various accelerators. Therefore they should have much larger potential than the traditional architectures when computation tasks are partitioned and run them on different accelerators in parallel. Due to low communication cost, the software optimization strategies and scheduling heuristics also need to be adjusted accordingly. In this talk, we introduce Sinian, an open source heterogeneous framework to enable heterogeneity-aware computation parallelism to maximize the performance for OCP-compliant accelerators. Task partitioning can be based on efficient architecture cost models, or deeply customized by applications.

avatar for Weifeng Zhang

Weifeng Zhang

Chief Scientist of Heterogeneous Computing, Alibaba Group USA
Dr. Weifeng Zhang is the Chief Scientist of Heterogeneous Computing at Alibaba Cloud Intelligence Infrastructure, responsible for acceleration and optimization for machine learning and other data-intensive applications. He received a PhD in Computer Science & Engineering from UC San... Read More →

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