37 citations · 105 across the 12 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 7 cited
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
Qing Qin, Jie Ren, Jialong Yu +6
The recent advances in deep neural networks (DNNs) make them attractive for embedded systems. However, it can take a long time for DNNs to make an inference on resource-constrained…
cs.MS2018★ 6 cited
Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures
Shizhao Chen, Jianbin Fang, Donglin Chen +2
Sparse matrix vector multiplication (SpMV) is one of the most common operations in scientific and high-performance applications, and is often responsible for the application perfor…
cs.PF2018★ 1 cited
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach
Peng Zhang, Jianbin Fang, Tao Tang +2
Many-core accelerators, as represented by the XeonPhi coprocessors and GPGPUs, allow software to exploit spatial and temporal sharing of computing resources to improve the overall…