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

hyPACK-2013 Keynote talks & Invited talks

C-DAC experts in the parallel processing technologies research areas such as Multi-Core Processors, GPGPUs & GPU Computing, HPC GPU Cluster and performance of applicaton kernels will deliver classroom lectures in Mode-2, Mode-3 & Mode-4 programme.

Experts from Private Sectors IT Companies deliver keynote talks on GPGPUs as given in Mode-2, Mode-3, & Mode-4 Programme and demonstrate Software tools from application point of view.

Experts from leading Academic Organizations may be invited to deliver invited talks performance of application kernels on HPC GPU Cluster

Distinguished faculty from IISc, IIT, IIITs, Universitties, University of Hyderabad and Indian Universities, may deliver keynote talks.

Professional Software experts from leading private sector IT companies such as Intel, AMD, HP, NVIDIA, IBM, Cray may deliver keynote talks & on Software tools on Multi-Core Processors and performance tuning aspects on GPGPUs.

Professional Software experts from various private sectors IT companies may be invited to deliver talks or demonstrate software on Multi-Core Processors and GPGPUs, focusing on Compiler Accelerator Programming model for GPGPUs, Performance tuning using libraries on Multi-Core Processors.

Professional Software experts from leading private sector IT companies such as IBM, Cray may deliver keynote talks & on energy efficiency issues of HPC GPU Cluster.

List of hyPACK-2013 Speakers

Prof. Soumyendu Raha, SERC, IISc, Bangalore GPU assisted Numerical computation of stochastic dynamics - Application trends - Optimization of Power and Speed

Prof. K.P.N. Murthy, Director, CMSD, University of Hyderabad Professor, Department of Physics, High Performance Computing - Computational Physics

Dr. Rajeev Wanker, Associate Prof., School of Computer Science, University of Hyderabad, Programming on Host-CPU : Multi-Core Processors - Hybrid Programming Software Threading

Dr. Sudhakar Chapram, Associate Professor, Dept of Computer Science, NITW Performance of Benchmarks - Distributed Shared Memory Programming - Memory Map

Dr. Pallav Baruah, DMACS, Sri Sathya Sai Institute of Higher Learning, SSSU, Prashanti Nilyam, A.P. Performance of Compression & Security of algorithms on HPC GPGPU Cluster

Mr. Gaurav Kumar B.Tech., NIT Warangal Experience of Memory Map and huge Paging enableing on Intel Xeon-Phi Coprocessors

Mr.Sudheer Kumar, Ph.D Student, DMACS, Sri Sathya Sai Institute of Higher Learning, SSSU, Prashanti Nilyam, A.P. Programming on Parallel Processing Platforms based on GPUs

Mr.Ajit Padyna, Ph.D Student, DMACS, Sri Sathya Sai Institute of Higher Learning, SSSU, Prashanti Nilyam, A.P. Tuning & Performance of Applications on Parallel Processing Platforms based on CUDA GPUs

Mr.Saidul Islam Ph.D Student, BITS Pilani An Overview of Distributed Data - High Perf. Data Mining - Hybrid Programming

Mr.Sathya Swarup System Admin, PARAM YUVA, NPSF, C-DAC, Pune Message Passing Clusters -with GPU Device Accelerators - Issues - & Challenges

Ms. Sonia Bansal, HPC-Frontier Technology Solution Group, C-DAC, Pune Programming on Intel Xeon-Phi Coprocessors - Performance Issues

Mr.Samrit Maity, HPC-Frontier Technology Solution Group, C-DAC, Pune Experience of String Search Algorithms on GPUs; & Application & System Benchmarks

Mr.Rahul Ravi Naik HPC-Frontier Technology Solution Group An Overview of OpenMP on Intel Xeon-Phi - Application Kernels & System Benchmarks

Dr.VCV.Rao HPC-Frontier Technology Solution Group, C-DAC An Overview of Xeon-Phi Coprocessors - System Software and Programming Issues and GPGPUs

Ms.Sonia Bansal HPC-Frontier Technology Solution Group, C-DAC An Overview of Power-aware Computing & Performance Issues of Application Kernels

AMD Experts - GPGPU : AMD-APP Tech - OpenCL

NVIDIA Experts - GPU Computing - CUDA enabled NVIDIA GPUs

INTEL Experts - Multi-Core Processor Systems with Intel Xeon-Phi Coprocessors

CRAY Experts - HPC GPU Cluster - Performance Issues

PGI - Complier Directives - OpenACC APIs