Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture

Author:

Barik Reet1ORCID,Raskar Siddhisanket2ORCID,Emani Murali2ORCID,Vishwanath Venkatram2ORCID

Affiliation:

1. Argonne National Laboratory, United States of America and Washington State University, United States of America

2. Argonne National Laboratory, United States of America

Funder

Department Of Energy

Publisher

ACM

Reference34 articles.

1. 2023. ALCF AI Testbed. https://www.alcf.anl.gov/alcf-ai-testbed. 2023. ALCF AI Testbed. https://www.alcf.anl.gov/alcf-ai-testbed.

2. Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation

3. Scott Beamer , Krste Asanović , and David Patterson . 2015. The GAP benchmark suite. arXiv preprint arXiv:1508.03619 ( 2015 ). Scott Beamer, Krste Asanović, and David Patterson. 2015. The GAP benchmark suite. arXiv preprint arXiv:1508.03619 (2015).

4. iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search

5. Luk Burchard , Max Xiaohang Zhao , Johannes Langguth , Aydın Buluç , and Giulia Guidi . 2023. Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. arXiv preprint arXiv:2304.08662 ( 2023 ). Luk Burchard, Max Xiaohang Zhao, Johannes Langguth, Aydın Buluç, and Giulia Guidi. 2023. Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. arXiv preprint arXiv:2304.08662 (2023).

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