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GTC ON-DEMAND

Big Data Analytics
Presentation
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Gunrock: A Fast and Programmable Multi-GPU Graph Processing Library
Abstract:
We present Gunrock, a multi-GPU graph processing library, that enables easy graph algorithm implementation and extension onto multiple GPUs for scalable performance on large graphs with billions of edges. Attendees can learn how to 1) solve large-scale graph problems with high-performance GPU computing primitives and optimization strategies, using our high-level data-centric abstraction that focuses on vertex or edge frontier operations, and 2) utilize multi-GPU computing power by just a few algorithm-dependent blocks, using our multi-GPU framework that handles most multi-GPU implementation details and memory allocation. We will also share experience on the library's design and implementation that helps it achieve the best performance among programmable GPU graph libraries.
 
Topics:
Big Data Analytics, Tools & Libraries, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6374
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