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WebGPU: A Scalable Online Development Platform for GPU Programming Courses.

, , and . IPDPS Workshops, page 942-949. IEEE Computer Society, (2016)

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Challenges and Pitfalls of Reproducing Machine Learning Artifacts., , , and . CoRR, (2019)FFT blitz: the tensor cores strike back., , , , and . PPoPP, page 488-489. ACM, (2021)Accelerating reduction and scan using tensor core units., , , , and . ICS, page 46-57. ACM, (2019)TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service., , , , and . CLOUD, page 372-382. IEEE, (2019)XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs., , , , , and . IPDPS, page 326-327. IEEE, (2020)Compiling high-level scripting languages to performant code. University of Illinois Urbana-Champaign, USA, (2020)Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles., , , , , , , and . PACT, page 345-355. IEEE, (2021)Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects., , , , , , and . ICPE, page 209-218. ACM, (2019)WebGPU: A Scalable Online Development Platform for GPU Programming Courses., , and . IPDPS Workshops, page 942-949. IEEE Computer Society, (2016)Triolet: a programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing., , , and . PPoPP, page 247-258. ACM, (2014)