Computational Methods for Engineering Technology
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Published By Saxe-Coburg Publications

9781874672579
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Optimization methodology for Parallel Programming of Homogeneous or Hybrid Clusters

2015 ◽  
pp. 111-148
Author(s):  
S. Vialle ◽  
S. Contassot-Vivier
Keyword(s):  
Parallel Programming ◽  
Optimization Methodology

High Level GPGPU Programming with Parallel Skeletons

2015 ◽  
pp. 57-71 ◽  
Author(s):  
M. Bourgoin ◽  
E. Chailloux ◽  
J.-L. Lamotte
Keyword(s):  
Parallel Skeletons ◽  
High Level

Using MELT to Improve or Explore your GCC-Compiled Source Code

2015 ◽  
pp. 171-186
Author(s):  
B. Starynkevitch
Keyword(s):  
Source Code

Migrating a Big-Data Grade Application to Large GPU Clusters

2015 ◽  
pp. 281-310
Author(s):  
D. Tello ◽  
V. Ducrot ◽  
J.-M. Batto ◽  
S. Monot ◽  
F. Boumezbeur ◽  
...  
Keyword(s):  
Big Data ◽  
Gpu Clusters

Programming GPUs from High Level Data Flow Models

2015 ◽  
pp. 73-109 ◽  
Author(s):  
M. Barreteau ◽  
R. Barrère ◽  
E. Lenormand
Keyword(s):  
Data Flow ◽  
Flow Models ◽  
Level Data ◽  
High Level

Testing Random Numbers: When OpenCL is the Right Choice

2015 ◽  
pp. 311-326
Author(s):  
J.M. Chauvet ◽  
E. Mahé
Keyword(s):  
Random Numbers ◽  
The Right

Bioinformatics of Non-Coding RNAs and GPUs, A Case Study: Prediction at Large Scale of MicroRNAs in Genomes

2015 ◽  
pp. 249-279
Author(s):  
F. Tahi ◽  
V.D. Tran ◽  
S. Tempel ◽  
E. Mahé
Keyword(s):  
Large Scale ◽  
Non Coding Rnas

Evaluation of State-of-the-Art Parallelizing Compilers Generating CUDA Code for Heterogeneous CPU/GPU Computing

2015 ◽  
pp. 1-30
Author(s):  
J.C. Juega ◽  
S. Verdoolaege ◽  
A. Cohen ◽  
J.I. Gómez ◽  
C. Tenllado ◽  
...  
Keyword(s):  
Gpu Computing ◽  
State Of The Art ◽  
Parallelizing Compilers
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