Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Conference Paper

Dynamic Parallelism for Simple and Efficient GPU Graph Algorithms

  • Abstract

    Dynamic parallelism allows GPU kernels to launch additional kernels at runtime directly from the GPU. In this paper we show that dynamic parallelism enables relatively simple high-performance graph algorithms for GPUs. We present breadth-first search (BFS) and single-source shortest paths (SSSP) algorithms that use dynamic parallelism to adapt to the irregular and data-driven nature of these problems. Our approach results in simple code that closely follows the high-level description of the algorithms but yields performance competitive with the current state of the art.

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Published by ACM

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