C-DAC,Pune : High-Perf. Comp. Frontier Technologies Exploration Group and CMSD, University of Hyderabad, Technology Workshop hyPACK (October 15-18), 2013

Overview Venue : CMSD, UoH Key-Note/Invited Talks Faculty / Speakers Proceedings Downloads Past Tech. Workshops Target Audience Benefits Organisers Accommodation Local Travel Sponsors Feedback Acknowledgements Contact Home

Topics of Interest Tech. Prog. Schedule Topic : Multi-Core Topic : ARM Proc. Topic : Coprocessors Topic : GPGPUs Topic : HPC Cluster Topic : App. Kernels. Topic : Lab. Session Key-Note / Invited Talks Home

Mode-1 Multi-Core Memory Allocators OpenMP Intel TBB Pthreads Java - Threads Charm++ Prog. Message Passing (MPI) MPI - OpenMP MPI - Intel TBB MPI - Pthreads Compilers - Opt. Features Threads-Perf. Math. Lib. Threads-Prof. & Tools Threads - I/O Perf. PGAS : UPC / CAF/ GA Power & Perf. Home

Mode-2 ARM Prog. Env Benchmarks Power & Perf. Home

Mode-3 Coprocessors Arch. Software Compiler & Vect. Prog. Env. Benchmarks Power & Perf. Home

Mode-4 GPGPUs NVIDIA - CUDA/OpenCL AMD APP - OpenCL GPGPUs - OpenCL GPGPUs : Power & Perf. Home

Mode-5 HPC Cluster HPC MPI Cluster GPU Cluster - NVIDIA GPU Cluster - AMD APP Cluster - Intel Coprocessors Cluster- Power & Perf. Home

Mode-6 App. Kernels PDE Solvers : FDM/FEM Image Processing - FFT Monte Carlo Methods String Srch. Seq. Analy. Video Process. Intr. Detcn. Sys App. Power & Perf. Home

Reg. Overview Pvt. Sector Pub. Sector Govt. Acad. Staff Students Reg. On-line Reg. Accommodation Contact Home

• Mode-1 Multi-Core • Memory Allocators • OpenMP • Intel TBB • Pthreads • Java - Threads • Charm++ Prog. • Message Passing (MPI) • MPI - OpenMP • MPI - Intel TBB • MPI - Pthreads • Compiler Opt. Features • Threads-Perf. Math.Lib. • Threads-Prof. & Tools • Threads-I/O Perf. • PGAS : UPC / CAF / GA • Power-Perf. • Reference • Home

OpenACC -CUDA enabled NVIDIA GPUs


[openacc-01].	http://developer.nvidia.com/content/openacc-example-part-1

[openacc-02].	https://github.com/parallel-forall/code-samples

[openacc-03].	http://developer.nvidia.com/openacc

[openacc-04].	CUDA sample source code: http://www.nvidia.com/object/cuda_get_samples.html

[openacc-05].	http://www.gputechconf.com

[openacc-06].	http://developer.nvidia.com/content/openacc-example-part-1#appendix

[openacc-07].	GPU Technology Conference http://www.gputechconf.com/page/home.html#

[openacc-08].	NVIDIA Updated http://developer.nvidia.com/gpu-accelerated-libraries

[openacc-09].	In the Trenches at GTC: Programming GPUs with OpenACC by Mark Harris posted on 14 May, 2012 http://developer.nvidia.com/content/trenches-gtc-programming-gpus-openacc

[openacc-10].	OpenACC Parallel for-all Codes https://github.com/parallel-forall/code-samples

[openacc-11].	In the Trenches at GTC: CUDA 5 and Beyond http://developer.nvidia.com/content/trenches-gtc-cuda-5-and-beyond
[openacc-12].	In the Trenches at GTC: Programming GPUs with OpenACC http://developer.nvidia.com/content/trenches-gtc-programming-gpus-openacc
[openacc-13].	GPU-Accelerated Libraries http://developer.nvidia.com/gpu-accelerated-libraries
[openacc-14].	OpenACC Standard OpenACC: www.openacc-standard.org/
[openacc-15].	Cray OpenACC OpenACC: http://www.openacc-standard.org/content/cray-even
[openacc-16].	CAPS - OpenACC : http://developer.nvidia.com/object/gpu_gems_home.html
[openacc-17].	PGI OpenACC : www.pgroup.com/resources/accel.htm
[openacc-18].	PGI OpenACC Compilers Getting Started Guide Version 12.3 http://www.pgroup.com/doc/openACC_gs.pdf
[openacc-19].	The OpenACCT API QUICK RE FEREN CE GUIDE http://www.nvidia.com/docs/IO/116711/OpenACC-API.pdf
[openacc-20].	The OpenACCT Application Programming Interface Version 1.0 November, 2011 http://www.openacc.org/sites/default/files/OpenACC.1.0_0.pdf
[openacc-21].	GPU Programming with CUDA and OpenACC; Axel Koehler - NVIDIA
[openacc-22].	Introduction to OpenACC; Oscar Hernandez, Richard Graham, Computer Science and Mathematics (CSM), Application Performance Tools Group,Oak Ridge National Laboratories, U.S Dept. of Energy
[openacc-22].	GPU Computing with OpenACC Directives Presented by John Urbanic, Pittsburgh Supercomputing Center Authored by Mark Harris NVIDIA Corporation

Centre for Development of Advanced Computing