Slides available here!

Speaker:

Prof. Sungjoo Yoo, Seoul National University, Korea

Title:

Memory Fast-Forward: A Low Cost Special Function Unit to Enhance Energy Efficiency in GPU for Big Data Processing

Abstract:

The current GPU architecture is not well suited to big data workloads due to the limited capability of handling a large number of memory requests. To address this problem, we present a special function unit, called memory fast-forward (MFF) unit. First, it supports pointer chasing which enables computation threads to issue as many memory requests as possible. Second, it coalesces memory requests bound for the same cache block, often due to structural locality, thereby reducing memory traffics. Both pointer chasing and memory request coalescing contribute to reducing memory stall time as well as improving the real utilization of memory bandwidth, by removing duplicate memory traffics. Our experiments with graph computation algorithms and real graphs show that the proposed MFF unit gives 1.75 to 5.22x speed up and also improves the energy efficiency by average 54.6% at a negligible area cost.

Bio:

Sungjoo Yoo received Ph.D. from Seoul National University in 2000. He worked as researcher at TIMA laboratory, Grenoble France from 2000 to 2004. He was principal engineer at Samsung System LSI from 2004 to 2008. He was at POSTECH from 2008 to 2015. He joined Seoul National University in 2015 and is now associate professor. His main research interests include memory-related issues in mobile devices and servers. He received Best Paper Award at International SoC Conference (ISOCC) in 2006 and Best Paper Award nominations at Design Automation Conference (DAC) in 2011 and Design Automation and Test in Europe (DATE) in 2002, 2009 and 2015.



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