SPLASH 2021
Sun 17 - Fri 22 October 2021 Chicago, Illinois, United States
Thu 21 Oct 2021 14:20 - 14:35 at Zurich C - Implementation of special Paradigms Chair(s): Frank Tip
Thu 21 Oct 2021 22:20 - 22:35 at Zurich C - Implementation of special Paradigms - mirror Chair(s): Steve Blackburn

\emph{Probabilistic programming languages} aid developers performing Bayesian inference. These languages provide programming constructs and tools for probabilistic modeling and automating the process of developing a probabilistic inference procedure. Prior work introduced a probabilistic programming language, ProbZelus, to extend probabilistic programming functionality to unbounded streams of data. A key innovation of ProbZelus was to demonstrate that the \emph{delayed sampling} inference algorithm could be extended to work in a streaming context. ProbZelus showed that while delayed sampling could be effectively deployed on some programs, depending on the probabilistic model under consideration, delayed sampling is not guaranteed to use a bounded amount of memory over the course of the execution of the program.

In this paper, we the present conditions on a probabilistic program’s execution under which delayed sampling will execute in bounded memory. The two conditions are dataflow properties of the core operations of delayed sampling: the \emph{$m$-consumed property} and \emph{the unseparated path property}. A program executes in bounded memory under delayed sampling if, and only if, it satisfies the $m$-consumed and unseparated path properties. We propose a static analysis that abstracts over these properties to soundly ensure that any program that passes the analysis satisfies these properties, and thus executes in bounded memory under delayed sampling.

Thu 21 Oct

Displayed time zone: Central Time (US & Canada) change

13:50 - 15:10
Implementation of special ParadigmsOOPSLA at Zurich C +8h
Chair(s): Frank Tip Northeastern University
13:50
15m
Talk
Coarsening Optimization for Differentiable ProgrammingVirtual
OOPSLA
Xipeng Shen North Carolina State University; Facebook, Guoqiang Zhang North Carolina State University; Facebook, Irene Dea Facebook, Samantha Andow Facebook, Emilio Arroyo-Fang Facebook, Neal Gafter Facebook, Johann George Facebook, Melissa Grueter Facebook, Erik Meijer Facebook, Olin Grigsby Shivers Facebook, Steffi Stumpos Facebook, Alanna Tempest Facebook, Christy Warden Facebook, Shannon Yang Facebook
DOI
14:05
15m
Talk
Efficient Automatic Scheduling of Imaging and Vision Pipelines for the GPUVirtual
OOPSLA
Luke Anderson Massachusetts Institute of Technology, Andrew Adams Adobe, Karima Ma Massachusetts Institute of Technology, Tzu-Mao Li Massachusetts Institute of Technology; University of California at San Diego, Tian Jin Massachusetts Institute of Technology, Jonathan Ragan-Kelley Massachusetts Institute of Technology
DOI
14:20
15m
Talk
Statically Bounded-Memory Delayed Sampling for Probabilistic StreamsIn-Person
OOPSLA
Eric Atkinson Massachusetts Institute of Technology, Guillaume Baudart Inria; ENS; PSL University, Louis Mandel IBM Research, Charles Yuan Massachusetts Institute of Technology, Michael Carbin Massachusetts Institute of Technology
DOI
14:35
15m
Talk
Compilation of Sparse Array Programming ModelsIn-Person
OOPSLA
Rawn Henry Massachusetts Institute of Technology, Olivia Hsu Stanford University, Rohan Yadav Stanford University, Stephen Chou Massachusetts Institute of Technology, Kunle Olukotun Stanford University, Saman Amarasinghe Massachusetts Institute of Technology, Fredrik Kjolstad Stanford University
DOI
14:50
20m
Live Q&A
Discussion, Questions and Answers
OOPSLA

21:50 - 23:10
Implementation of special Paradigms - mirrorOOPSLA at Zurich C
Chair(s): Steve Blackburn Australian National University
21:50
15m
Talk
Coarsening Optimization for Differentiable ProgrammingVirtual
OOPSLA
Xipeng Shen North Carolina State University; Facebook, Guoqiang Zhang North Carolina State University; Facebook, Irene Dea Facebook, Samantha Andow Facebook, Emilio Arroyo-Fang Facebook, Neal Gafter Facebook, Johann George Facebook, Melissa Grueter Facebook, Erik Meijer Facebook, Olin Grigsby Shivers Facebook, Steffi Stumpos Facebook, Alanna Tempest Facebook, Christy Warden Facebook, Shannon Yang Facebook
DOI
22:05
15m
Talk
Efficient Automatic Scheduling of Imaging and Vision Pipelines for the GPUVirtual
OOPSLA
Luke Anderson Massachusetts Institute of Technology, Andrew Adams Adobe, Karima Ma Massachusetts Institute of Technology, Tzu-Mao Li Massachusetts Institute of Technology; University of California at San Diego, Tian Jin Massachusetts Institute of Technology, Jonathan Ragan-Kelley Massachusetts Institute of Technology
DOI
22:20
15m
Talk
Statically Bounded-Memory Delayed Sampling for Probabilistic StreamsIn-Person
OOPSLA
Eric Atkinson Massachusetts Institute of Technology, Guillaume Baudart Inria; ENS; PSL University, Louis Mandel IBM Research, Charles Yuan Massachusetts Institute of Technology, Michael Carbin Massachusetts Institute of Technology
DOI
22:35
15m
Talk
Compilation of Sparse Array Programming ModelsIn-Person
OOPSLA
Rawn Henry Massachusetts Institute of Technology, Olivia Hsu Stanford University, Rohan Yadav Stanford University, Stephen Chou Massachusetts Institute of Technology, Kunle Olukotun Stanford University, Saman Amarasinghe Massachusetts Institute of Technology, Fredrik Kjolstad Stanford University
DOI
22:50
20m
Live Q&A
Discussion, Questions and Answers
OOPSLA