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CnC-CUDA: Declarative Programming for GPUs.

, , , and . LCPC, volume 6548 of Lecture Notes in Computer Science, page 230-245. Springer, (2010)

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Dynamic Task Parallelism with a GPU Work-Stealing Runtime System., , , and . LCPC, volume 7146 of Lecture Notes in Computer Science, page 203-217. Springer, (2011)Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs., , , , and . LCPC, volume 8664 of Lecture Notes in Computer Science, page 342-356. Springer, (2013)CnC-CUDA: Declarative Programming for GPUs., , , and . LCPC, volume 6548 of Lecture Notes in Computer Science, page 230-245. Springer, (2010)S2FA: an accelerator automation framework for heterogeneous computing in datacenters., , , , , and . DAC, page 153:1-153:6. ACM, (2018)A Pluggable Framework for Composable HPC Scheduling Libraries., , , , and . IPDPS Workshops, page 723-732. IEEE Computer Society, (2017)Accelerating Habanero-Java programs with OpenCL generation., , , , and . PPPJ, page 124-134. ACM, (2013)Auto-grading for parallel programs., , , , and . EduHPC@SC, page 3:1-3:8. ACM, (2015)Efficient Checkpointing of Multi-threaded Applications as a Tool for Debugging, Performance Tuning, and Resiliency., and . IPDPS, page 232-241. IEEE Computer Society, (2016)JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA., , and . Euro-Par, volume 5704 of Lecture Notes in Computer Science, page 887-899. Springer, (2009)Static Cost Estimation for Data Layout Selection on GPUs., , and . PMBS@SC, page 76-86. IEEE Computer Society, (2016)