-
1
-
-
77951572335
-
Automatic C-to-CUDA code generation for affine programs
-
M. M. Baskaran, J. Ramanujam and P. Sadayappan, "Automatic C-to-CUDA Code Generation for Affine Programs," Lecture Notes in Computer Science, 6011, pp. 244-263, 2010.
-
(2010)
Lecture Notes in Computer Science
, vol.6011
, pp. 244-263
-
-
Baskaran, M.M.1
Ramanujam, J.2
Sadayappan, P.3
-
2
-
-
79960526623
-
Enabling task parallelism in the CUDA scheduler
-
M. Guevara, C. Gregg, K. Hazelwood and K. Skadron, "Enabling Task Parallelism in the CUDA Scheduler," Proc. the Workshop on Programming Models for Emerging Architectures, pp 69-76, 2009.
-
(2009)
Proc. the Workshop on Programming Models for Emerging Architectures
, pp. 69-76
-
-
Guevara, M.1
Gregg, C.2
Hazelwood, K.3
Skadron, K.4
-
3
-
-
83755162894
-
-
Master Dissertation, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
-
Y. C. Huang, "A Two-Stage Task Scheduling Scheme on CUDA Systems," Master Dissertation, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, 2010.
-
(2010)
A Two-Stage Task Scheduling Scheme on CUDA Systems
-
-
Huang, Y.C.1
-
4
-
-
59049085159
-
Predictive runtime code scheduling for heterogeneous architectures
-
V. J. Jiḿenez, L. Vilanova, I. Gelado, et al, "Predictive Runtime Code Scheduling for Heterogeneous Architectures," Proc. High Performance and Embedded Architectures and Compilers, pp. 19-33, 2009.
-
(2009)
Proc. High Performance and Embedded Architectures and Compilers
, pp. 19-33
-
-
Jiḿenez, V.J.1
Vilanova, L.2
Gelado, I.3
-
5
-
-
77952309808
-
Fast evaluation of GP Trees on GPGPU by optimizing hardware scheduling
-
O. Maitre, N. Lachiche and P. Collet, "Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling," Lecture Notes in Computer Science, 6021, pp. 301-312, 2010.
-
(2010)
Lecture Notes in Computer Science
, vol.6021
, pp. 301-312
-
-
Maitre, O.1
Lachiche, N.2
Collet, P.3
-
6
-
-
43349092363
-
CUDA compatible GPU cards as efficient hardware accelerators for smith-waterman sequence alignment
-
S. A. Manavski and G. Valle, "CUDA Compatible GPU Cards as Efficient Hardware Accelerators for Smith-Waterman Sequence Alignment," BMC Bioinformatics, 2008.
-
(2008)
BMC Bioinformatics
-
-
Manavski, S.A.1
Valle, G.2
-
7
-
-
70449091988
-
GPU-based ultrafast IMRT plan optimization
-
C. Men, X. Gu, D. Choi, et al, "GPU-based Ultrafast IMRT Plan Optimization," Physics in Medicine and Biology, pp 6565-6573, 2009.
-
(2009)
Physics in Medicine and Biology
, pp. 6565-6573
-
-
Men, C.1
Gu, X.2
Choi, D.3
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