19 citations · 41 across the 8 of their papers we have counts for
5 papers · 1 filter
Task-Graph Scheduling Extensions for Efficient Synchronization and Communication
Seonmyeong Bak, Oscar Hernandez, Mark Gates +2
Task graphs have been studied for decades as a foundation for scheduling irregular parallel applications and incorporated in programming models such as OpenMP. While many high-perf…
Advanced Graph-Based Deep Learning for Probabilistic Type Inference
Fangke Ye, Jisheng Zhao, Vivek Sarkar
Dynamically typed languages such as JavaScript and Python have emerged as the most popular programming languages in use. Important benefits can accrue from including type annotatio…
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine
Prasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss +2
Xilinx's AI Engine is a recent industry example of energy-efficient vector processing that includes novel support for 2D SIMD datapaths and shuffle interconnection network. The cur…
Context-Aware Parse Trees
Fangke Ye, Shengtian Zhou, Anand Venkat +8
The simplified parse tree (SPT) presented in Aroma, a state-of-the-art code recommendation system, is a tree-structured representation used to infer code semantics by capturing pro…
Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina +6
The efficiency of a spatial DNN accelerator depends heavily on the compiler and its cost model ability to generate optimized mappings for various operators of DNN models on to the…