82 citations · 273 across the 15 of their papers we have counts for
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cs.AR2020★ 2 cited
AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao +1
Adopting FPGA as an accelerator in datacenters is becoming mainstream for customized computing, but the fact that FPGAs are hard to program creates a steep learning curve for softw…
cs.LG2020★ 82 cited
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng, Chengfan Jia, Minmin Sun +9
High-performance tensor programs are crucial to guarantee efficient execution of deep neural networks. However, obtaining performant tensor programs for different operators on vari…