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High-Performance Deep Learning via a Single Building Block., , , , , , , , and . CoRR, (2019)Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads., , , , , , , , , and 4 other author(s). CoRR, (2021)A Study of BFLOAT16 for Deep Learning Training., , , , , , , , , and 9 other author(s). CoRR, (2019)The Parallelism Motifs of Genomic Data Analysis., , , , , , , , , and 4 other author(s). CoRR, (2020)Harnessing Deep Learning via a Single Building Block., , , , , , , , and . IPDPS, page 222-233. IEEE, (2020)Optimizing deep learning recommender systems training on CPU cluster architectures., , , , , and . SC, page 43. IEEE/ACM, (2020)Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads., , , , , , , , , and 7 other author(s). SC, page 14. ACM, (2021)Communication avoiding and overlapping for numerical linear algebra, , , , , and . SC, page 100. IEEE/ACM, (2012)Efficient and Generic 1D Dilated Convolution Layer for Deep Learning., , , , , , , and . CoRR, (2021)Accelerating Deep Learning based Identification of Chromatin Accessibility from noisy ATAC-seq Data., , , , , , , and . IPDPS Workshops, page 176-185. IEEE, (2022)