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Computational Science, Engineering & Technology Series
ISSN 1759-3158
CSETS: 34
PATTERNS FOR PARALLEL PROGRAMMING ON GPUS
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Preliminaries  
1. Evaluation of State-of-the-Art Parallelizing Compilers Generating CUDA Code for Heterogeneous CPU/GPU Computing,
1
2. Data Size and Data Type Dynamic GPU Code Generation,
31
3. High Level GPGPU Programming with Parallel Skeletons,
M. Bourgoin, E. Chailloux and J.-L. Lamotte
57
4. Programming GPUs from High Level Data Flow Models,
73
5. Optimization methodology for Parallel Programming of Homogeneous or Hybrid Clusters,
S. Vialle and S. Contassot-Vivier
111
6. Program Sequentially, Carefully, and Benefit from Compiler Advances for Parallel Heterogeneous Computing,
M. Amini, C. Ancourt, B. Creusillet, F. Irigoin and R. Keryell
149
7. Using MELT to Improve or Explore your GCC-Compiled Source Code,
B. Starynkevitch
171
8. OpenCL: A Suitable Solution to Simplify and Unify High Performance Computing Developments,
J. Passerat-Palmbach and D.R.C. Hill
187
9. Parallel Preconditioned Conjugate Gradient Algorithm on GPU,
F. Andzembe and J. Koko
209
10. Solving Sparse Linear Systems with CG and GMRES Methods on a GPU and GPU Clusters,
R. Couturier and L. Ziane Khodja
227
11. Bioinformatics of Non-Coding RNAs and GPUs, A Case Study: Prediction at Large Scale of MicroRNAs in Genomes,
249
12. Migrating a Big-Data Grade Application to Large GPU Clusters,
D. Tello, V. Ducrot, J.-M. Batto, S. Monot, F. Boumezbeur, V. Arslan and T. Saidani
281
13. Testing Random Numbers: When OpenCL is the Right Choice,
311
End matter / Index  

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