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An Access-Pattern-Aware On-Chip Vector Memory System with Automatic Loading for SIMD Architectures.

, , , , and . HPEC, page 1-7. IEEE, (2018)

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A Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Work and Weight Load Balancing., , , , , and . FPL, page 394-398. IEEE Computer Society, (2018)Fully integrated FPGA molecular dynamics simulations., , , , , , , , , and 2 other author(s). SC, page 67:1-67:31. ACM, (2019)Reconfigurable switches for high performance and flexible MPI collectives., , , , , , , , , and . Concurr. Comput. Pract. Exp., (2022)A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing., , , , and . CoRR, (2019)GhostSZ: A Transparent FPGA-Accelerated Lossy Compression Framework., , , , , and . FCCM, page 258-266. IEEE, (2019)Molecular Dynamics Range-Limited Force Evaluation Optimized for FPGAs., , , , , , , and . ASAP, page 263-271. IEEE, (2019)An Access-Pattern-Aware On-Chip Vector Memory System with Automatic Loading for SIMD Architectures., , , , and . HPEC, page 1-7. IEEE, (2018)BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets., , , , , and . SC, page 38:1-38:30. ACM, (2019)A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs., , , , , , , , , and . HPEC, page 1-8. IEEE, (2021)LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism., , , , , , and . ASAP, page 9-16. IEEE, (2019)