222 citations · 225 across the 3 of their papers we have counts for
3 papers
cs.AR2021★ 1 cited
Compiling Halide Programs to Push-Memory Accelerators
Qiaoyi Liu, Dillon Huff, Jeff Setter +8
Image processing and machine learning applications benefit tremendously from hardware acceleration, but existing compilers target either FPGAs, which sacrifice power and performanc…
cs.DC2018★ 222 cited
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators
Xuan Yang, Mingyu Gao, Qiaoyi Liu +9
We show that DNN accelerator micro-architectures and their program mappings represent specific choices of loop order and hardware parallelism for computing the seven nested loops o…
cs.SE2016★ 2 cited
Programming Heterogeneous Systems from an Image Processing DSL
Jing Pu, Steven Bell, Xuan Yang +4
Specialized image processing accelerators are necessary to deliver the performance and energy efficiency required by important applications in computer vision, computational photog…