Time

09:00-11:00 ^AM, Aug. 14, 2020

 

Location

ZOOM online

 

Abstract

Gunrock achieves a balance between performance and expressiveness by coupling high-performance GPU computing primitives and optimization strategies, particularly in the area of fine-grained load balancing, with a high-level programming model.  Gunrock allows programmers to quickly develop new graph primitives that scale from one to many GPUs on a node with small code size and minimal GPU programming knowledge. Gunrock's open-source implementation (gunrock.github.io) is the reference implementation in DARPA's HIVE program and has been integrated into NVIDIA's RAPIDS framework for data science.

 

Lecturer

John Owens is the Child Family Professor of Engineering and Entrepreneurship in the Department of Electrical and Computer Engineering at the University of California, Davis, where he leads an amazing group of graduate students in a research program centered around parallel computing on the graphics processing unit (GPU). He earned his PhD from Stanford in 2003 and his BS from UC Berkeley in 1995. His first and only visit to Beijing was in 2007.