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cs.PL2026
Reactive Graphs for Efficient Markov Chain Monte Carlo Inference in Probabilistic Programming Languages
Viktor Palmkvist, Fredrik Ronquist, David Broman
An important aspect of making inference based on a probabilistic program practical is efficiency; faster evaluation enables more work per unit of time, which can be translated into…
cs.PL2024
Repr Types: One Abstraction to Rule Them All
Viktor Palmkvist, Anders à gren Thuné, Elias Castegren +1
The choice of how to represent an abstract type can have a major impact on the performance of a program, yet mainstream compilers cannot perform optimizations at such a high level.…
cs.PL2024
Expression Acceleration: Seamless Parallelization of Typed High-Level Languages
Lars Hummelgren, John Wikman, Oscar Eriksson +2
Efficient parallelization of algorithms on general-purpose GPUs is essential in many areas today. However, it is a non-trivial task for software engineers to utilize GPUs to improv…