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Graph Coloring on the GPU and Some Techniques to Improve Load Imbalance., , , and . IPDPS Workshops, page 610-617. IEEE Computer Society, (2015)Accelerating Compute-Intensive Applications with GPUs and FPGAs., , , , and . SASP, page 101-107. IEEE Computer Society, (2008)Challenges of Programming a System with Heterogeneous Memories and Heterogeneous Processors: A Programmer's View., , and . MEMSYS, page 99-103. ACM, (2016)AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing., , , , , , , , , and 1 other author(s). MICRO, page 922-936. IEEE, (2020)Work Stealing in a Shared Virtual-Memory Heterogeneous Environment: A Case Study with Betweenness Centrality., , and . Conf. Computing Frontiers, page 164-173. ACM, (2017)Software Assisted Hardware Cache Coherence for Heterogeneous Processors., , , and . MEMSYS, page 279-288. ACM, (2016)Gravel: fine-grain GPU-initiated network messages., , , , , and . SC, page 23. ACM, (2017)Using cycle stacks to understand scaling bottlenecks in multi-threaded workloads., , , , and . IISWC, page 38-49. IEEE Computer Society, (2011)A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads., , , , , and . IISWC, page 1-11. IEEE Computer Society, (2010)Rodinia: A benchmark suite for heterogeneous computing., , , , , , and . IISWC, page 44-54. IEEE Computer Society, (2009)