Benanza: Automatic $μ$ Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

16 November 2019

Jinjun Xiong

Papers citing "Benanza: Automatic $μ$Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs"

3 / 3 papers shown

Title
Group Fisher Pruning for Practical Network Compression Liyang Liu Shilong Zhang Zhanghui Kuang Aojun Zhou Jingliang Xue Xinjiang Wang Yimin Chen Wenming Yang Q. Liao Wayne Zhang 25 146 0 02 Aug 2021
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA M. Wahib Haoyu Zhang Truong Thao Nguyen Aleksandr Drozd Jens Domke Lingqi Zhang Ryousei Takano Satoshi Matsuoka OODD 32 23 0 26 Aug 2020
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended) Cheng-rong Li Abdul Dakkak Jinjun Xiong Wen-mei W. Hwu 22 0 0 18 Nov 2019