12 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 12 cited
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Ruihang Lai, Junru Shao, Siyuan Feng +16
Dynamic shape computations have become critical in modern machine learning workloads, especially in emerging large language models. The success of these models has driven the deman…
cs.PL2016★ 2 cited
HPVM: A Portable Virtual Instruction Set for Heterogeneous Parallel Systems
Prakalp Srivastava, Maria Kotsifakou, Vikram Adve
We describe a programming abstraction for heterogeneous parallel hardware, designed to capture a wide range of popular parallel hardware, including GPUs, vector instruction sets an…