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20182026
most citedThe Deep Learning Compiler: A Comprehensive Survey

213 citations · 261 across the 27 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CR2019★ 1 cited

Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models

Ruiyuan Gao, Ming Dun, Hailong Yang +2

The huge computation demand of deep learning models and limited computation resources on the edge devices calls for the cooperation between edge device and cloud service by splitti…

cs.DC2019★ 10 cited

Intelligent-Unrolling: Exploiting Regular Patterns in Irregular Applications

Changxi Liu, Hailong Yang, Xu Liu +2

Modern optimizing compilers are able to exploit memory access or computation patterns to generate vectorization codes. However, such patterns in irregular applications are unknown…

cs.DC2019★ 1 cited

Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer

Yongmin Hu, Hailong Yang, Zhongzhi Luan +1

Common Midpoint (CMP) and Common Reflection Surface (CRS) are widely used methods for improving the signal-to-noise ratio in the field of seismic processing. These methods are comp…

cs.LG2019★ 1 cited

swTVM: Towards Optimized Tensor Code Generation for Deep Learning on Sunway Many-Core Processor

Mingzhen Li, Changxi Liu, Jianjin Liao +8

The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to pro…

cs.PF2019

Redundant Loads: A Software Inefficiency Indicator

Pengfei Su, Shasha Wen, Hailong Yang +2

Modern software packages have become increasingly complex with millions of lines of code and references to many external libraries. Redundant operations are a common performance li…