ACTS: A Near-Memory FPGA Graph Processing Framework

Author:

Jaiyeoba Wole1ORCID,Elyasi Nima2ORCID,Choi Changho2ORCID,Skadron Kevin1ORCID

Affiliation:

1. University of Virginia, Charlottesville, VA, USA

2. Samsung, San Jose, CA, USA

Funder

CRISP

Booz Allen Hamilton

Publisher

ACM

Reference42 articles.

1. Mikhail Asiatici and Paolo Ienne . 2021 . Large-Scale Graph Processing on FPGAs with Caches for Thousands of Simultaneous Misses. In 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA). 609--622 . https://doi.org/10.1109/ISCA52012.2021.00054 10.1109/ISCA52012.2021.00054 Mikhail Asiatici and Paolo Ienne. 2021. Large-Scale Graph Processing on FPGAs with Caches for Thousands of Simultaneous Misses. In 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA). 609--622. https://doi.org/10.1109/ISCA52012.2021.00054

2. Group formation in large social networks

3. Scott Beamer , Krste Asanovic , and David Patterson . 2015. The GAP Benchmark Suite. (08 2015 ). Scott Beamer, Krste Asanovic, and David Patterson. 2015. The GAP Benchmark Suite. (08 2015).

4. Reducing Pagerank Communication via Propagation Blocking

5. Maciej Besta Dimitri Stanojevic Johannes Licht Tal Ben-Nun and Torsten Hoefler. 2019. Graph Processing on FPGAs: Taxonomy Survey Challenges. Maciej Besta Dimitri Stanojevic Johannes Licht Tal Ben-Nun and Torsten Hoefler. 2019. Graph Processing on FPGAs: Taxonomy Survey Challenges.

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1. GraFlex: Flexible Graph Processing on FPGAs through Customized Scalable Interconnection Network;Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays;2024-04

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