William S. Moses

1. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
   2018/02/13 by Nicolas Vasilache, Vasilache, Nicolas, Oleksandr Zinenko +15 · 1 voice · 20 citations
   Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL) #Tensor decomposition and applications #cs.LG #cs.PL
2. Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
   2020/10/04 by William S. Moses, Valentin Churavy · 2 voices · 4 citations
   Computer Science · #cs.MS #cs.AI #cs.LG #cs.PF #cs.PL
3. AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
   2019/01/15 by Ameer Haj-Ali, Qijing Huang, Haj-Ali, Ameer +11 · 3 citations
   Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL) #Software Engineering Research
4. The MLIR Transform Dialect. Your compiler is more powerful than you think
   2024/09/05 by Martin Paul Lücke, Lücke, Martin Paul, Олександр Зіненко +7 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Natural Language Processing Techniques #Programming Languages (cs.PL) #Semantic Web and Ontologies
5. High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
   2022/07/01 by William S. Moses, Moses, William S., Ivan R. Ivanov +9 · 1 citation
   Computer Science · #Distributed #Distributed and Parallel Computing Systems #Embedded Systems Design Techniques #FOS: Computer and information sciences #Parallel #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL) #and Cluster Computing (cs.DC)