In EDS ansehen

A View of the Parallel Computing Landscape.

Gespeichert in:

Bibliographische Detailangaben
Titel:	A View of the Parallel Computing Landscape.
Autoren:	ASANOVIC, KRSTE¹, BODIK, RASTISLAV¹, DEMMEL, JAMES¹, KEAVENY, TONY¹, KEUTZER, KURT¹, KUBIATOWICZ, JOHN¹, MORGAN, NELSON¹, PATTERSON, DAVID¹, SEN, KOUSHIK¹, WAWRZYNEK, JOHN¹, WESSEL, DAVID¹, YELICK, KATHERINE¹
Quelle:	Communications of the ACM. Oct2009, Vol. 52 Issue 10, p56-67. 12p. 1 Color Photograph, 1 Diagram, 1 Chart, 2 Graphs.
Schlagwörter:	PARALLEL programs (Computer programs), PARALLEL computers, MICROPROCESSOR programming
Geografische Kategorien:	BERKELEY (Calif.), CALIFORNIA
Firma/Körperschaft:	UNIVERSITY of California, Berkeley
Abstract:	The article presents a discussion of parallel computing as of October 2009. It focuses on the opportunities for computer science researchers to re-engineer some fundamental aspects of information technology architecture, due to computer hardware manufacturing limitations. The inability of single-core microprocessors to provide faster clock rates has caused parallel computing to become a necessity, in the form of multicore microprocessor chips. Research being conducted at the University of California, Berkeley's Par Lab is described. It focuses on developing applications such as content-based image retrieval and intraoperative risk assessment for stroke victims.
Datenbank:	Business Source Index

Beschreibung
Abstract:	The article presents a discussion of parallel computing as of October 2009. It focuses on the opportunities for computer science researchers to re-engineer some fundamental aspects of information technology architecture, due to computer hardware manufacturing limitations. The inability of single-core microprocessors to provide faster clock rates has caused parallel computing to become a necessity, in the form of multicore microprocessor chips. Research being conducted at the University of California, Berkeley's Par Lab is described. It focuses on developing applications such as content-based image retrieval and intraoperative risk assessment for stroke victims.
ISSN:	00010782
DOI:	10.1145/1562764.1562783