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Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors.

, , , , and . IEEE Trans. Very Large Scale Integr. Syst., 31 (2): 253-266 (February 2023)

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Efficient Multiple-Precision and Mixed-Precision Floating-Point Fused Multiply-Accumulate Unit for HPC and AI Applications., , , , , and . ICA3PP, volume 13777 of Lecture Notes in Computer Science, page 642-659. Springer, (2022)A Low-Cost Floating-Point Dot-Product-Dual-Accumulate Architecture for HPC-Enabled AI., , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (2): 681-693 (February 2024)SFDoP: A Scalable Fused BFloat16 Dot-Product Architecture for DNN., , and . ICCD, page 62-65. IEEE, (2023)Low-Cost Multiple-Precision Multiplication Unit Design For Deep Learning., , , , , and . ACM Great Lakes Symposium on VLSI, page 9-14. ACM, (2023)Modeling and evaluation for gather/scatter operations in Vector-SIMD architectures., , , and . ASAP, page 143-148. IEEE Computer Society, (2017)A Multi-level Parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions., , , , , , and . Euro-Par, volume 14100 of Lecture Notes in Computer Science, page 260-274. Springer, (2023)A Programmable Pre-emphasis Transmitter for SerDes in 40 nm CMOS., , , , and . NCCET, volume 600 of Communications in Computer and Information Science, page 35-44. Springer, (2017)Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors., , , , and . IEEE Trans. Very Large Scale Integr. Syst., 31 (2): 253-266 (February 2023)A Scalable BFloat16 Dot-Product Architecture for Deep Learning., , , , and . ACM Great Lakes Symposium on VLSI, page 219-220. ACM, (2023)