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Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs.

, , , , и . IPDPS, стр. 276-285. IEEE Computer Society, (2018)

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Jeffrey S Lantis

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Contemporary High Performance Computing - From Petascale toward Exascale.. Chapman and Hall / CRC computational science series CRC Press, (2013)Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training., , , и . IPDPS, стр. 188-199. IEEE, (2019)Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training., , , и . CoRR, (2018)A Survey of CPU-GPU Heterogeneous Computing Techniques., и . ACM Comput. Surv., 47 (4): 69:1-69:35 (2015)EqualWrites: Reducing Intra-Set Write Variations for Enhancing Lifetime of Non-Volatile Caches., и . IEEE Trans. Very Large Scale Integr. Syst., 24 (1): 103-114 (2016)A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications., , , , и . WOMPAT, том 2104 из Lecture Notes in Computer Science, стр. 53-67. Springer, (2001)Kernel-level single system image for petascale computing., , , , , и . ACM SIGOPS Oper. Syst. Rev., 40 (2): 50-54 (2006)Enabling a Highly-Scalable Global Address Space Model for Petascale Computing, , , и . CF '10: Proceedings of the 7th ACM international conference on Computing frontiers, стр. 207--216. New York, NY, USA, ACM, (2010)Accelerating S3D: A GPGPU Case Study., , , , , и . Euro-Par Workshops, том 6043 из Lecture Notes in Computer Science, стр. 122-131. Springer, (2009)GA-GPU: extending a library-based global address spaceprogramming model for scalable heterogeneouscomputing systems., и . Conf. Computing Frontiers, стр. 53-64. ACM, (2012)