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

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

hyPACK-2013 Hands On Session

hypack-2013 Hands-on Sessions (HoS) will be conducted on Multi-Core processor Systems with GPUs and HPC GPU Cluster for Mode-1, Mode-2, Mode-3 & Mode-4 modules. The Day-1 programme is designed to quickly adopt to hybrid programmig on HPC GPU Cluster. Partcipants may use basic programming APIs or fundamentals of host-cpu programming such as Pthreads, OpenMP, Intel TBB & Chamr++. The approach adopted to heterogeneous programming for applications kernels and numerical linear algebra on hybrid computing systems ( HPC GPU Cluster) is discussed in Mode-1, Mode-2, Mode-3 & Mode-4 modules of hypack-2013 ) are given below.

Centre for Development of Advanced Computing