Automatically Batching Control-Intensive Programs for Modern
Accelerators

v1v2 (latest)

Automatically Batching Control-Intensive Programs for Modern Accelerators

23 October 2019

Matthew D. Hoffman

Rif A. Saurous

ArXiv (abs)PDF HTML

Papers citing "Automatically Batching Control-Intensive Programs for Modern Accelerators"

8 / 8 papers shown

Title
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers Andrew Millard Joshua Murphy Daniel Frisch Simon Maskell BDL 116 0 0 03 Apr 2025
Efficiently Vectorized MCMC on Modern Accelerators Hugh Dance Pierre Glaser Peter Orbanz Ryan P. Adams 94 0 0 20 Mar 2025
Running Markov Chain Monte Carlo on Modern Hardware and Software Pavel Sountsov Colin Carroll Matthew D. Hoffman BDL 70 5 0 06 Nov 2024
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry 67 2 0 17 May 2023
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories L. Riou-Durand Pavel Sountsov Jure Vogrinc C. Margossian Samuel Power 94 6 0 21 Oct 2022
Transport Elliptical Slice Sampling A. Cabezas Christopher Nemeth 86 10 0 19 Oct 2022
Focusing on Difficult Directions for Learning HMC Trajectory Lengths Pavel Sountsov Matt Hoffman 95 10 0 22 Oct 2021
Cortex: A Compiler for Recursive Deep Learning Models Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry VLM 66 28 0 02 Nov 2020