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Author's retrospective for biomedical image analysis on a cooperative cluster of gpus and multicores

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Biomedical image analysis on a cooperative cluster of GPUs and multicores

Author's retrospective for biomedical image analysis on a cooperative cluster of gpus and multicores

Content Provider	ACM Digital Library
Author	Hartley, Timothy D.R. Igual, Fancisco Mayo, Rafael Ujaldon, Manuel Catalyurek, Umit V. Ruiz, Antonio
Abstract	The last six years has seen Moore's Law continue to produce incredible gains in computational power. Indeed, the November, 2007 list of the top ten fastest supercomputers in the world contained no machines with acceleration of any kind. The same list six years later has four of the ten fastest supercomputers using accelerators, including the top two machines [3] . And the ten greenest supercomputers in November 2013 are using NVIDIA GPUs [1]. This heterogeneity of processing units is present from the top of the computational power spectrum down to the bottom, where GPU hardware coupled with novel CUDA and OpenCL programming paradigms have brought significant performance gains to consumer-grade applications. Our paper was one of a number of papers riding the wave of greater programming flexibility and computational capability of accelerators in general, and NVIDIA GPUs in particular. This wave has only increased in size, and probably marks the end of the significant computational performance in section points for general-purpose silicon processors. Advances in networking technology and field-programmability are waiting in the wings for their turn to change the landscape of computing. But for now, we look back at our paper and its peers, and examine their impact.
Starting Page	82
Ending Page	84
Page Count	3
File Format	PDF
ISBN	9781450328401
DOI	10.1145/2591635.2591670
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-06-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gpu Cuda
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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