Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
2016 · IEEE Journal of Solid-State Circuits · 3,062 citations
https://doi.org/10.1109/jssc.2016.2616357
T
Tushar Krishna
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334
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Tushar Krishna is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Parallel Computing and Optimization Techniques & Interconnection Networks and Systems & Advanced Memory and Neural Computing. The author has an h-index of 40, co-authored 284 publications.
ORCID: 0000-0001-5738-6942Papers by this author
worksSIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training
2020 · 442 citations
https://doi.org/10.1109/hpca47549.2020.00015
MAERI
2018 · 279 citations
https://doi.org/10.1145/3173162.3173176
MAERI
2018 · ACM SIGPLAN Notices · 192 citations
https://doi.org/10.1145/3296957.3173176
Breaking the on-chip latency barrier using SMART
2013 · 118 citations
https://doi.org/10.1109/hpca.2013.6522334
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator
2020 · 61 citations
https://doi.org/10.1109/hpca47549.2020.00029
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