sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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GPU-STREAM: Benchmarking the Achievable Memory Bandwidth of Graphics Processing Units

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Tom Deakin, Simon McIntosh-Smith

ROOM:Level 4 - Lobby


Many scientific codes consist of memory bandwidth bound kernels - the dominating factor of the runtime is the speed at which data can be loaded from memory into the Arithmetic Logic Units.
Generally Programmable Graphics Processing Units (GPGPUs) and other accelerator devices such as the Intel Xeon Phi offer an increased memory bandwidth over CPU architectures.
However, as with CPUs, the peak memory bandwidth is often unachievable in practice and so benchmarks are required to measure a practical upper bound on expected performance.

We present GPU-STREAM as an auxiliary tool to the standard STREAM benchmark to provide cross-platform comparable results of achievable memory bandwidth between multi- and many-core devices.

Our poster will present the cross-platform validity of these claims, and also a short quantification on the effect of ECC memory on memory bandwidth.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Tom Deakin - University of Bristol

Simon McIntosh-Smith - University of Bristol

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