Exploring accelerator and parallel graph algorithmic choices for temporal graphs
Author:
Affiliation:
1. University of Connecticut
Funder
National Science Foundation (NSF)
U.S. Government by the Naval Research Laboratory
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3380536.3380540
Reference38 articles.
1. Masab Ahmad Halit Dogan Christopher J Michael and Omer Khan. 2019. HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators. In 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE 268--281. Masab Ahmad Halit Dogan Christopher J Michael and Omer Khan. 2019. HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators. In 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE 268--281.
2. CRONO: A Benchmark Suite for Multithreaded Graph Algorithms Executing on Futuristic Multicores
3. Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server
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