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Accelerating sparse matrix-vector multiplication on GPUs us..:

, In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis,

Tang, Wai Teng ; Tan, Wen Jun ; Ray, Rajarshi... - p. 1-12 , 2013

Link: https://dl.acm.org/doi/10.1145/2503210.2503234

RT 
T1 <cTitle>Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis</cTitle>: T1 <Title>Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2503234&Exemplar=1&LAN=DE
				
A1 Tang, Wai Teng
A1 Tan, Wen Jun
A1 Ray, Rajarshi
A1 Wong, Yi Wen
A1 Chen, Weiguang
A1 Kuo, Shyh-hao
A1 Goh, Rick Siow Mong
A1 Turner, Stephen John
A1 Wong, Weng-Fai
PB ACM
YR 2013
K1 GPU
K1 compression
K1 data compression
K1 matrix-vector multiplication
K1 memory bandwidth
K1 parallelism
K1 sparse matrix format
K1 Mathematics of computing
K1 Information theory
K1 Coding theory
K1 Security and privacy
K1 Cryptography
K1 Mathematical foundations of cryptography
K1 Computing methodologies
K1 Parallel computing methodologies
K1 Parallel programming languages
K1 Software and its engineering
K1 Software notations and tools
K1 General programming languages
K1 Language types
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 Multiple instruction, multiple data
SP 1
OP 12
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2503210.2503234
DO https://dl.acm.org/doi/10.1145/2503210.2503234
SF ELIB - SuUB Bremen

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