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Accelerating relax-ordered task-parallel workloads using multi-level dependency checking.

, , , and . ICS, page 36:1-36:11. ACM, (2020)

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GPU concurrency choices in graph analytics., and . IISWC, page 178-187. IEEE Computer Society, (2016)Efficient parallelization of path planning workload on single-chip shared-memory multicores., , and . HPEC, page 1-6. IEEE, (2015)Accelerating Synchronization in Graph Analytics Using Moving Compute to Data Model on Tilera TILE-Gx72., , , and . ICCD, page 496-505. IEEE Computer Society, (2018)GraphTuner: An Input Dependence Aware Loop Perforation Scheme for Efficient Execution of Approximated Graph Algorithms., , and . ICCD, page 201-208. IEEE Computer Society, (2017)Efficient Situational Scheduling of Graph Workloads on Single-Chip Multicores and GPUs., , and . IEEE Micro, 37 (1): 30-40 (2017)Exploring the performance implications of memory safety primitives in many-core processors executing multi-threaded workloads., , , , and . HASP@ISCA, page 6:1-6:8. ACM, (2015)Exploring accelerator and parallel graph algorithmic choices for temporal graphs., , and . PMAM@PPoPP, page 7:1-7:10. ACM, (2020)M-MAP: Multi-factor memory authentication for secure embedded processors., , , , , , , and . ICCD, page 471-474. IEEE Computer Society, (2015)Accelerating Graph and Machine Learning Workloads Using a Shared Memory Multicore Architecture with Auxiliary Support for In-hardware Explicit Messaging., , , , , and . IPDPS, page 254-264. IEEE Computer Society, (2017)Power & throughput optimized lifting architecture for Wavelet Packet Transform., , and . ISCAS, page 2205-2208. IEEE, (2014)