Papers › DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing...
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia
Seyoon Ko, Hua Zhou, Jin Zhou, Joong-Ho Won
The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.
The demand for high-performance computing (HPC) is ever-increasing for everyday statistical computing purposes. The downside is that we need to write specialized code for each HPC environment. CPU-level parallelization needs to be explicitly coded for effective use of multiple nodes in cluster supercomputing environments. Acceleration via graphics processing units (GPUs) requires to write kernel code. The Julia software package DistStat.jl implements a data structure for distributed arrays that work on both multi-node CPU clusters and multi-GPU environments transparently. This package paves a way to developing high-performance statistical software in various HPC environments simultaneously. As a demonstration of the transparency and scalability of the package, we provide applications to large-scale nonnegative matrix factorization, multidimensional scaling, and ℓ₁-regularized Cox proportional hazards model on an 8-GPU workstation and a 720-CPU-core virtual cluster in Amazon Web Services (AWS) cloud. As a case in point, we analyze the on-set of type-2 diabetes from the UK Biobank with 400,000 subjects and 500,000 single nucleotide polymorphisms using the ℓ₁-regularized Cox proportional hazards model. Fitting a half-million-variate regression model took less than 50 minutes on AWS.
In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections