Biblio

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Filters: Author is Gennady Pekhimenko  [Clear All Filters]
2023
Jiang C, Jayarajan A, Lu H, Pekhimenko G.  2023.  Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators. 2023 USENIX Annual Technical Conference (USENIX ATC 23). :519--536.
2022
Zhu H, Wu R, Diao Y, Ke S, Li H, Zhang C, Xue J, Ma L, Xia Y, Cui W et al..  2022.  ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :233--248.
2021
Yu GX, Gao Y, Golikov P, Pekhimenko G.  2021.  Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training. 2021 USENIX Annual Technical Conference (USENIX ATC 21). :503--521.
2020
Zhu H, Phanishayee A, Pekhimenko G.  2020.  Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training. 2020 USENIX Annual Technical Conference (USENIX ATC 20). :337--352.
2018
Pekhimenko G, Guo C, Jeon M, Huang P, Zhou L.  2018.  TerseCades: Efficient Data Compression in Stream Processing. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :307--320.
2017
Miao H, Park H, Jeon M, Pekhimenko G, McKinley KS, Lin FXiaozhu.  2017.  StreamBox: Modern Stream Processing on a Multicore Machine. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :617--629.