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A Study of BFLOAT16 for Deep Learning Training., , , , , , , , , and 9 other author(s). CoRR, (2019)Deep Learning Recommendation Model for Personalization and Recommendation Systems, , , , , , , , , and 14 other author(s). (2019)cite arxiv:1906.00091Comment: 10 pages, 6 figures.Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale., , , , , , , , , and 8 other author(s). CoRR, (2021)A denoising method based on CNN through multi-layer separation., , , , and . EITCE, page 361-366. ACM, (2022)Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models., , , , , , and . IEEE Big Data, page 1556-1563. IEEE, (2022)Learning from Optimizing Matrix-Matrix Multiplication., , , and . IPDPS Workshops, page 332-339. IEEE Computer Society, (2018)AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models., , , , , , , , , and 6 other author(s). OSDI, page 817-831. USENIX Association, (2023)High Performance Super-Resolution Reconstruction of Multiple Images Based on Fast Registration and Edge Enhancement., , , and . IScIDE, volume 8261 of Lecture Notes in Computer Science, page 649-657. Springer, (2013)Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , and 43 other author(s). ISCA, page 993-1011. ACM, (2022)Strassen's algorithm reloaded., , , and . SC, page 690-701. IEEE Computer Society, (2016)