ArticleStatistical science : a review journal of the Institute of Mathematical Statistics2010
Graphics Processing Units and High-Dimensional Optimization.
Article in Statistical science : a review journal of the Institute of Mathematical Statistics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- An MM Estimation Algorithm for Independent Component Analysis.Signal processing · 2026Article
- Many-core algorithms for high-dimensional gradients on phylogenetic trees.Bioinformatics (Oxford, England) · 2024Article
- Massive Parallelization of Massive Sample-size Survival Analysis.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Multivariate genome-wide association analysis by iterative hard thresholding.Bioinformatics (Oxford, England) · 2023Article
- High-Performance Statistical Computing in the Computing Environments of the 2020s.Statistical science : a review journal of the Institute of Mathematical Statistics · 2022Article
- Ten simple rules for principled simulation modelling.PLoS computational biology · 2022Article
- Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data.Statistics and computing · 2021Article
- Massive parallelization boosts big Bayesian multidimensional scaling.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2021Article
- MGLM: An R Package for Multivariate Categorical Data Analysis.The R journal · 2018Article
- Regression Models For Multivariate Count Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2017Article
- GPU-powered Shotgun Stochastic Search for Dirichlet process mixtures of Gaussian Graphical Models.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2016Article
- Sensitivity and Specificity of Cardiac Tissue Discrimination Using Fiber-Optics Confocal Microscopy.PloS one · 2016Article
- Article
- Estimation for general birth-death processes.Journal of the American Statistical Association · 2014Article
- A Brief Survey of Modern Optimization for Statisticians.International statistical review = Revue internationale de statistique · 2014Article
- MM Algorithms for Geometric and Signomial Programming.Mathematical programming · 2014Article
- Discovering epistasis in large scale genetic association studies by exploiting graphics cards.Frontiers in genetics · 2013Review
- Massive parallelization of serial inference algorithms for a complex generalized linear model.ACM transactions on modeling and computer simulation : a publication of the Association for Computing Machinery · 2013Article
- Mendel-GPU: haplotyping and genotype imputation on graphics processing units.Bioinformatics (Oxford, England) · 2012Article
- GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores.BMC research notes · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
This paper discusses the potential of graphics processing units (GPUs) in high-dimensional optimization problems. A single GPU card with hundreds of arithmetic cores can be inserted in a personal computer and dramatically accelerates many statistical algorithms. To exploit these devices fully, optimization algorithms should reduce to multiple parallel tasks, each accessing a limited amount of data. These criteria favor EM and MM algorithms that separate parameters and data. To a lesser extent block relaxation and coordinate descent and ascent also qualify. We demonstrate the utility of GPUs in nonnegative matrix factorization, PET image reconstruction, and multidimensional scaling. Speedups of 100 fold can easily be attained. Over the next decade, GPUs will fundamentally alter the landscape of computational statistics. It is time for more statisticians to get on-board.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.