Population-Based MCMC on Multi-Core CPUs, GPUs and FPGAs

File Description SizeFormat 
MingasITOC15.pdfAccepted version536.57 kBAdobe PDFView/Open
Title: Population-Based MCMC on Multi-Core CPUs, GPUs and FPGAs
Authors: Mingas, G
Bouganis, C-S
Item Type: Journal Article
Issue Date: 1-Jun-2015
Date of Acceptance: 16-May-2015
URI: http://hdl.handle.net/10044/1/32182
DOI: https://dx.doi.org/10.1109/TC.2015.2439256
ISSN: 0018-9340
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Start Page: 1283
End Page: 1296
Journal / Book Title: IEEE Transactions on Computers
Volume: 65
Issue: 4
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Wellcome Trust
Funder's Grant Number: 097816/Z/11/A
Keywords: Science & Technology
Computer Science, Hardware & Architecture
Engineering, Electrical & Electronic
Computer Science
Field programmable gate array
graphics processing unit
Markov Chain Monte Carlo
parallel tempering
custom arithmetic precision
Computer Hardware & Architecture
0803 Computer Software
0805 Distributed Computing
1006 Computer Hardware
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons