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Content Provider | IEEE Xplore Digital Library |
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Author | Francavilla, M.A. Vipiana, F. Vecchi, G. |
Copyright Year | 2010 |
Description | Author affiliation: Antenna and EMC Lab (LACE), Istituto Superiore Mario Boella (ISMB), Via Pier Carlo Boggio 61, Torino 10138, Italy (Vipiana, F.) || Antenna and EMC Lab (LACE), Electronics Dep., Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy (Francavilla, M.A.; Vecchi, G.) |
Abstract | Recently Graphic Processing Units (GPUs) have reached very high computing and memory capabilities; at the same time the price for these devices has dropped, making them suitable for standard workstations. GPUs of the current generation are able to perform vector operations at much higher rates with respect to Central Processing Units (CPUs). The reason for this discrepancy in floating-point capability lies in the specialization of GPUs for compute-intensive highly parallel computation, exactly what graphics rendering is about. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 393778 |
Page Count | 4 |
File Format | |
ISBN | 9781424449675 |
ISSN | 15223965 |
DOI | 10.1109/APS.2010.5561766 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-07-11 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Graphics processing unit Algorithm design and analysis Sparse matrices Moment methods Linear systems Green's function methods Acceleration |
Content Type | Text |
Resource Type | Article |
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