Jing Pu

cs.ARcs.DCcs.CVcs.NEcs.SE

On Valency

published · living versions

EIE: Efficient Inference Engine on Compressed Deep Neural Network

with Song Han, Xingyu Liu, Huizi Mao, Ardavan Pedram +2

1 version

W_ddthczd3v1 · current

Preprints & journals

6 papers in the corpus · 2016–2023

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network

Song Han, Xingyu Liu, Huizi Mao et al.

1 citation

2306.09552v12023arXiv

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators

Xuan Yang, Mingyu Gao, Qiaoyi Liu et al.

232 citations

1809.04070v22018Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems, March, 2020, Pages 369-383

Programming Heterogeneous Systems from an Image Processing DSL

Jing Pu, Steven Bell, Xuan Yang et al.

111 citations

1610.09405v12016arXiv

FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 Single-Precision FPU, and a 43.7GFLOPS/W at 74.6GFLOPS/mm2 Double-Precision FPU, in 28nm UTBB FDSOI

Jing Pu, Sameh Galal, Xuan Yang et al.

13 citations

1606.07852v12016arXiv

A Systematic Approach to Blocking Convolutional Neural Networks

Xuan Yang, Jing Pu, Blaine Burton Rister et al.

46 citations

1606.04209v12016arXiv

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Song Han, Xingyu Liu, Huizi Mao et al.

1,077 citations

1602.01528v22016arXiv

on Valency

Career total: 28 works. 6 are in this corpus.

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Year	Papers
2016	4
2017	0
2018	1
2019	0
2020	0
2021	0
2022	0
2023	1