SCHEDULE: NOV 12-18, 2011

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Dymaxion: Optimizing Memory Access Patterns for Heterogeneous Systems

SESSION: GPU Optimizations

EVENT TYPE: Paper

TIME: 11:00AM - 11:30AM

AUTHOR(S):Shuai Che, Jeremy Sheaffer, Kevin Skadron

ROOM:TCC 303

ABSTRACT:
Graphics processors (GPUs) have emerged as an important computing platform for general-purpose and high-performance computing, because they offer a large number of parallel cores and high memory bandwidth. However, data layouts in GPU memory often lead to sub-optimal performance for programs designed with a CPU memory interface in mind. This implies that application performance is highly sensitive to architecture and memory access patterns. This paper proposes a simple API, Dymaxion, that allows programmers to declare access patterns. The runtime then optimizes memory layouts accordingly, hiding the latency by overlapping it with inter-device transfers; and then transforms subsequent memory access addresses as necessary. We show that applications with a variety of access patterns achieve significant speedups with Dymaxion, and also explore the importance of maintaining per-device data layouts and cross-device data mappings with a case study of concurrent CPU-GPU execution.

Chair/Author Details:

Shuai Che - University of Virginia

Jeremy Sheaffer - University of Virginia

Kevin Skadron - University of Virginia

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The full paper can be found in the ACM Digital Library