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MIPP: A microbenchmark suite for performance, power, and energy consumption characterization of GPU architectures.

, , , and . SIES, page 159-164. IEEE, (2016)

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BFS-4K: An Efficient Implementation of BFS for Kepler GPU Architectures., and . IEEE Trans. Parallel Distributed Syst., 26 (7): 1826-1838 (2015)Configuring Graph Traversal Applications for GPUs: Analysis of Implementation Strategies and their Correlation with Graph Characteristics., and . HPCS, page 145-151. IEEE, (2019)Parametric Multi-step Scheme for GPU-Accelerated Graph Decomposition into Strongly Connected Components., , , , and . Euro-Par Workshops, volume 10104 of Lecture Notes in Computer Science, page 519-531. Springer, (2016)An Enhanced Profiling Framework for the Analysis and Development of Parallel Primitives for GPUs., , and . MCSoC, page 1-8. IEEE Computer Society, (2015)cuRnet: an R package for graph traversing on GPU., , , , , , , , , and . BMC Bioinform., 19-S (10): 221-230 (2018)An Efficient Implementation of the Bellman-Ford Algorithm for Kepler GPU Architectures., and . IEEE Trans. Parallel Distributed Syst., 27 (8): 2222-2233 (2016)On the Load Balancing Techniques for GPU Applications Based on Prefix-Scan., and . MCSoC, page 88-95. IEEE Computer Society, (2015)Exploiting GPU architectures for dynamic invariant mining., , , , and . ICCD, page 192-195. IEEE Computer Society, (2015)A Dynamic Approach for Workload Partitioning on GPU Architectures., and . IEEE Trans. Parallel Distributed Syst., 28 (6): 1535-1549 (2017)FAST-CON: a Multi-source Approach for Efficient S- T Connectivity on Sparse Graphs., , , , and . HPEC, page 1-6. IEEE, (2023)