---------- Forwarded message ----------
From:
Dr. VCV Rao <vcv...@cdac.in>Date: Wed, Jul 31, 2013 at 6:20 AM
Subject: hyPACK-2013 : CALL for Participation : 4-days Tech workshop : Hybrid Computing - Coprocessors & Accelerators - Power-aware Comp. & Perf. of Appl. Kernels Oct 15-18, 2013
To:
hpc...@cdac.in CALL for Participation : 4-days Tech workshop :
Hybrid Computing - Coprocessors & Accelerators - Power-aware
Computing & Performance of Application Kernels Oct 15-18,2013
at CMSD, Univ Of HYDERABAD
Apologies if you receive multiple copies of this e-mail
hyPACK-2013
-------------- F I R S T A N N O U N C E M E N T ------------
http: //
www.cdac.in/hypack2013/
http: //
www.cdac.in/index.aspx?id=ev_hpc_hypack13_index
http: //
www.cdac.in/index.aspx?id=ev_hpc_hypack_register
---------- C A L L for P A R T I C I P A T I O N ---------
F O U R D A Y S
T E C H N O L O G Y W O R K S H O P
on
Hybrid Computing - Coprocessors & Accelerators -
Power-aware Computing & Performance of Application Kernels
(Initiatives on Measurement of Power Consumption &
Performance)
(hyPACK-2013)
DATES : October 15-18, 2013
VENUE: Centre for Modelling Simulation and Design (CMSD),
HPC Facility,University of Hyderabad, HYDERABAD
Jointly Organized by
C-DAC, Pune University Campus & CMSD, University of Hyderabad
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Last Date for Early Bird Registration is September 20, 2013
hyPACK-2013 Registration is OPEN.
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Centre for Development of Advanced Computing (C-DAC) Pune and
Centre for Modelling Simulation and Design (CMSD),HPC Facility,
University of Hyderabad, are jointly organizing FOUR days
technology workshop, which is scheduled from OCTOBER 15-18,2013
at CMSD, University of Hyderabad.
hyPACK-2013 Objective
---------------------
hyPACK-2013 objective is to understand power-aware performance
issues of various scientific application kernels and computational
mathematics on parallel processing platforms such as computing
systems with Intel Xeon-Phi Coprocessors and NVIDIA GPUs & AMD GPU
accelerators as well as ARM processor based Linux multi-core
processor systems. The aim is to achieve the best performance
(turnaround time & throughput) and the total power consumption,
a device or a system needs in order to solve a problem of given
size for High Performance Computing (HPC) application kernels.
The focus is to integrate different programming paradigms such
as Pthreads, OpenMP, Intel TBB, Cilk Plus, Intel Xeon-Phi Offload
Pragmas, MPI, & NVIDIA CUDA - for Application Kernels on
GPGPUs (NVIDIA KEPLER Features- Dynamic Parallelsim, Hyper-Q,
SMX, Directives - OpenACC, OpenMP 4.0, OpenCL)& extract the best
achieved performance for application kernels on systems with
coprocessors and accelerators. The workshop gives an opportunity
to write, execute and demonstrate computational mathematics and
application kernels using different programming paradigms. The
workshop is aimed to cover classroom lectures in morning/forenoon
session and four hours hands-on in afternoon session on every day.
Participants will get an opportunity to walk-through and execute
some of the programs in hands-on session laboratories.
Why hyPACK-2013 ?
----------------
A comprehensive coverage of topics & hands-on lab. sessions on
Multi-Core Processor systems, Cluster of Multi-Core Processor
Systems with Intel Xeon Phi Co-processors and NVIDIA GPU
and AMD GPU accelerators as well as ARM Multi-Core Processor
systems; Prog. on Intel Xeon Phi Co-processors using OpenMP 4.0
MPI, Clik Plus, offload pragmas, Compiler Pragmas & Vectorization;
Tips for Tuning & performance; port codes- HPC Cluster with
multi GPU devices & Co-processors; Heterogeneous Computing -
Tuning & Perf. of Software multi-threading, Prog. issues
for Application Kernels on GPGPUs (NVIDIA KEPLER Features-
Dynamic Parallelsim, Hyper-Q, SMX, Directives - OpenACC)
GPU Computing based on CUDA/OpenCL enabled NVIDIA GPUs
AMD-APP SDK OpenCL; AMD APUs - Programming & Perf.; Prog.
on CUDA enabled NVIDIA GPUs using OpenACC;Performance of
Numerical Linear Algebra Kernels & Benchmarks; Applications-
Partial Diff. Eqs. &; Image Processing and Bio-Informatics.
Special Sessions on porting Scientific Applications on
Co-processors and Accelerators on Parallel Processing
Platforms & ARM Processor Systems are included.
To get practical experience on various emerging programming
Models & HPC Hybrid Cluster through Software threading &
meet the challenges of perspective users of peta-flop
applications
hyPACK-2013 Highlights at Glance
------------------------------
---
Topics of interest include but are not limited to:
Day 1 & Day-2 : ---------------
HPC Cluster - Intel Xeon Phi Coprocessors and
ARM multicore processor HPC Systems
- Programming on Intel Xeon Phi Coprocessors; Xeon Phi Coprocessor
usage model : MPI vesus Offload; Compiler and Programming model;
Approaches to Vectorization . Complier Directives; Programming
Paradigms, OpenMP-4.0, Intel TBB, Intel Cilk Plus, Intel MKL
- Intel Xeon-Phi Coprocessor Architecture; Linux OS on Coprocessor;
Coprocessor System software; Tuning Memory Allocation
Performance,
Huge Page Sizes; Profiling & Tuning Tools- PAPI & MPI tools
- Tuning and Performance Issues- Power Consumption for Application
Kernels; Measurement of Power Consumption . External Power-Off
Meter; Application Kernels; Programming on ARM processor
multi-core processor systems; Energy Efficiency & Perf. Issues
Day 3 & Day-4: -------------
HPC Cluster.NVIDIA GPUs and AMD GPUs and ARM multi-core
processors
HPC Cluster with Accelerators
- An Overview of CUDA enabled NVIDIA GPUs : CUDA SDK/APIs;
CUDA - Optimization & Performance Issues; Efficient use of
different memory types, (CUBLAS, CUFFT, CULA Tools,
MAGMA, CUSPARSE, Thurst); CUDA-OpenACC APIs; NVIDIA- OpenCL;
CUDA NVIDIA GPU Cluster - Kepler GPUs; NVIDIA CUDA - for
Application Kernels on GPGPUs (NVIDIA KEPLER Features-
Dynamic Parallelsim, Hyper-Q, SMX, Directives-OpenACC,OpenCL)
- An Overview of AMD Accelerated Parallel Processing (APP)
Capabilities; AMD APUs - OpenCL Prog. On Multi-Core CPUs &
Multi-GPUs; AMD APP Math libraries- BLAS & FFTs; AMD APP SDK,
AMD tools- Aparapi APIs; AMD OpenCL tuning & performance;
HPC AMD GPU Cluster: Host CPU (Pthreads, OpenMP, MPI) with
OpenCL on AMD GPUs; Health Monitoring of GPU Cluster
- Programming on ARM Processor multi-core systems;
power-aware performance Issues on ARM Multi-Corocessor systems;
Prog. on carma - NVIDIA CUDA on ARM Development Kit
- An Overview of FPGA Device Systems; Energy Efficiency - Using
Power-Off Meters & NVML Libraries - Health Monitoring - NVML
Power
Efficient API . Performance Issues; Efficient use of GPUs in
Cluster; Open Source Software using GPUs, MAGMA & Top-500
Benchmarks
hyPACK-2013 : Special lectures & Application Kernels :
------------------------------
---------
- Mixed Programming for Numerical /Non-Numerical Computations
on multi-core processors with Intel Xeon-Phi coprocessors,
and NVIDIA /AMD GPU accelerators and ARM processor systems;
Application & System Benchmarks & Performance;
- Image Processing Applications; Bio-Informatics - String
Search Algorithms & Sequence Analysis;
Dense / Sparse Matrix Computations on HPC Cluster with
accelerators and Co-Processors; Solution of Partial
Differential Eqs. (FDM &FEM); FFT Libraries; Invited
Lectures on Information Sciences; Computational Physics
hyPACK-2013 : An Overview of Hands-on:
------------------------------
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Memory Allocators, Software Threading, Mixed Programs
(OpenMP, POSIX Threads,Intel TBB,MPI, Memory allocators)
forn Numerical (Dense/Sparse Matrix Comps.); &
Non-Numerical Comps. Multi-Core Software tools;
Application and System Benchmarks - Top-500 & HPC
Challenge Benchmarks;
Programming on Intel Xeon Phi Coprocessors; MPI vesus
Offload; Compiler & Programming model; Prog. Paradigms -
OpenMP, Intel Cilk Plus, Intel MKL; Tuning Memory Allocation
Performance . Huge Page Sizes; Profiling & Tuning Tools-
PAPI & MPI tools; Prog. on ARM multi-core processor systems
Basic prog. (NVIDIA GPU Comp. CUDA 4.0 SDK & AMD GPGPUs -
AMD-APP SDK); CUDA Toolkit; CUDA Matrix Comps. Lib,;
OpenCL - NVIDIA - CUDA Prog. on Numerical Comps. CUDA Streams
Multi-GPU progs,; NVIDIA CUDA OpenACC - Prog.
AMD-APP- OpenCL; AMD-APP ACML-CAL Lib.; OpenCL/CUDA -Multi-GPU;
NVIDIA /AMD-APP Profilers & Tools; NVIDIA NVML APIs - Prog.
Measure Power-aware Performance for application kernels
CUDA /OpenCL Programs on Numerical Comps. (Dense /Sparse
Marix Comps.); Partial Diff. Eqs.; String Search Alg.; FFTs;
Image Proc Alg.
Prog, Environment on HPC GPU Cluster; Performance issues of
Benchmarks & Application Kernels on HPC GPU Cluster; Mixed
Prog. on Host CPU (MPI, OpenMP, Pthreads) and CUDA/OpenCL on
device GPUs, OpenACC, OpenMP 4.0.
Programming on ARM Multi-Core Processor Systems / Power-aware
Performance Issues.
hyPACK-2013 Registration Fee :
----------------------------
hyPACK-2013 Registration is open from JULY 14, 2013
The registration fee does not include accommodation charges.
5 % registration fee is charged for cancellation.
| ------------------------------
--------|
| 4 Days:October 15-18,2013 |
| ---------------|----------|---
--------|
| | Early Bird| Regular |
| | (Rs.) | (Rs.) |
| ---------------|----------|---
--------|
| Private Sectors| 16,000/- | 18,000/- |
| ---------------|----------|---
--------|
| Public Sectors/| 12,000/- | 14,000/- |
| Govt. R&D Org. | | |
| ---------------|----------|---
--------|
| Staff from Edu.| 10,000/- | 12,000/- |
| Inst./Univ. | | |
| & Colleges(*) | | |
| ---------------|----------|---
--------|
| Students(*) | 6,000/- | 8,000/- |
| ---------------|----------|---
--------|
(*) Limited Grant is available which covers concessional
registration fee for deserving candidates & staff
from Govt. aided Indian Universities/Colleges and
Educational Institutes.
Candidates who would like to avail this offer are requested
to send soft-copy of the Curriculum vitae (CV) & soft-copy
of an authorization letter from the Head of the Institute or
Dept. of the University to the email-id
hypac...@cdac.in
on or before SEPTEMBER 20, 2013.
Applications will be screened and ONLY selected candidates
will be intimated before SEPTEMBER 20, 2013 to pay the
required registration fee before SEPTEMBER 20, 2013
hyPACK-2013 Early Bird Registration:
------------------------------
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EARLY BIRD REGISTRATION IS SEPTEMBER 20, 2013
The Early Bird registration is based on FIRST CUM-FIRST SERVICE
basis. Maximum number of participants allowed is 50. The
registration fee includes CD proceedings and an overview
of workshop proceedings, lunch, and refreshments on
all workshop days.
The hyPACK-2013 registration fee does not include accommodation
charges. 5 % registration fee is charged for cancellation.
Kindly submit the Registration form to the address mentioned
below by SEPTEMBER 20, 2013 with the DD/Multi-city Cheque
in favor of C-DAC HYPACK-2013 payable at Pune. Last Date for
Early Bird Registration is SEPTEMBER 20, 2013
Please visit the URL:
http://www.cdac.in/hypack2013/
to complete the registration process.
hyPACK-2013 Computing Laboratory:
------------------------------
--
HPC Facility, CMSD, UofH; C-DAC PARAM YUVA-II HPC Cluster;
Intel Xeon-Phi Coprocessor Systems;
HPC Cluster CUDA/OpenCL enabled NVIDIA multi-GPU Cluster;
HPC GPU Cluster AMD-APP OpenCL-with Multi-GPU;
ARM multi-processor systems;
ARM processor systems with NVIDIA carma DevKit
hyPACK-2013 Accommodation:
--------------------------
Organisers may provide single room/shared double room
occupancy in University of Hyderabad guesthouse blocks
private service apartments and Hotels (Category-1 &
Category-2) for participants, at participants cost, subject
to availability, upon registration before SEPTEMBER 20, 2013.
| ------------------------------
---------------|
| Univ of Hyderabad Lake View Guest House** |
| Tariff Charges (Rs.) for Per Day# |
| ------------------------------
---------------|
| Occupancy|Category-1 | Category-2|Category-3 |
| Institute| (Rs.) | (Rs.) | (Rs.) |
| | Lakeview |LakeView |LakeView |
| | Guesthouse*|Guesthouse |Guesthouse |
| ---------|----------=|--------
---|-----------|
| Double | | | |
| Room | 500/- | 750/- | 850/- |
| ---------|-----------|--------
---|-----------|
** The final tarrif charges will be worked-out at
the earliest possible, in consultation with
University of Hyderabad Guest house authorities.
# Limited accommodation facility for four days
(OCTOBER 15-18,2013) is available at participants cost,
subject to availability,on FIRST-CUM-FIRST-SERVE BASIS in
University of Hyderabad (UoH) guesthouse i.e., UoH
Participants-Hostel for students & LakeView Guesthouse for
Faculty & Scientists & Govt staff who register for hyPACK-2013.
The check-in time for UoH Guest House is from After-noon
hours of OCTOBER 14, 2013 onwards and five-night stay is
arranged for hyPACK-2013 participants. Cash Payment is
accepted in UOH Guest-house reception office.
The UoH Guesthouse double occupancy rooms (as indicated
in Category-1 for Students, and Category-2 & Category-3
for Academic Staff (Faculty) & Research Staff) are provided
for students and academic or R &D staff from Govt. aided
Indian Universities/Colleges & Educational Institutes on
FIRST-CUM-FIRST-SERVE BASIS only exclusively for participants.
The single occupancy accommodation is not avialable (NA)
for Category-1, Cateogry-2, & Cateogry-3 type accommodation
facility. Confirmation of Lakeview Guest house (UoH) will
be intimated on or before October 01, 2013.
The tariff charges are indicated here for Pvt. Service
Apartments and Hotels, do not include tax.
| ------------------------------
---------------|
| Hyderabad Pvt. Service Aparts.** |
| Tariff Charges (Rs.) for Per Day# |
| ------------------------------
---------------|
| Occupancy|Category-4 | Category-5|Category-6 |
| Institute| (Rs.) | (Rs.) | (Rs.) |
| | Pvt.Service| Pvt.Serv. | Hotel* |
| | Apart* | Apart* | |
| ---------|-----------|--------
---|-----------|
| Single | | | |
| Room | NA | 1300/- | 1500/- |
| ---------|-----------|--------
---|-----------|
| Double | | | |
| Room | 1500/- | 1800/- | 2000/- |
| ---------|-----------|--------
---|-----------|
Organisers will arrange pick-up & drop from University of
Hyderabad Guesthouse or Private Service apartments to the
Venue. The tarrif charges for private service apartments
include complementary break-fast on each day during
OCTOBER 15-18, 2013.
hyPACK-2013 Speakers:
---------------------
Distinguished faculty from IISc, IITs, IIITs, NITW,
Universities, Expertsfrom C-DAC, and HPC industries
(Intel, AMD, IBM, HP, NVIDIA) may be invited.
hyPACK-2013 Benefits
---------------------
- Address Perspective users of Distributed Computing, Parallel
Computing, Visual Computing, Language Computing, and
Scientific & Engineering Applications ;
- Exposure to programming on Intel Xeon Phi Coprocessors
- Offers advanced concepts on Mixed programming - Multi-Core
Processors (Pthreads, OpenMP, MPI, Cilk Plus) & OpenCL on
GPGPUs /GPU Computing Platforms; Intel Xeon-Phi Offload
pragmas . Compilers . Vectorization;
- ARM Processor - Programming . Power consumption Calculation;
- In depth exposure to Heterogeneous Programming NVIDIA,
CUDA, Intel Xeon-Phi Offload pragmas & laboratory sessions;
- Exposure to Tuning & performance ideas on HPC Cluster with
Intel Xeon-Phi Coprocessors, HPC GPU Cluster (CUDA/OpenCL enabled
NVIDIA GPUs, OpenCL on AMD APP with hands-on; Programming on
ARM processor systems
hyPACK-2013 Target Audience:
---------------------------
Scientific & Engineeging application users, M.Tech Ph.D Students;
Software Professionals, Users of Parallel Processing platforms;
Scientists from Academia, Technical staff from Research
Development Organizations & other IT Industries.
Graduate Students, faculty members, scientists, software
developers, and software team leaders seeking to develop
software on HPC Cluster with Intel Xeon-Phi Coprocessors
and GPU accelerators (Multi-Core Processors & GPUs) as well as
ARM Multi-Core processor systems
Knowledge of computer architectures, Fortran, C, C++ programming
and programming experience on Parallel Processing platforms
are mandatory pre-requisites for this technology workshop.
hyPACK-2013 INFORMATION & ACCOMMODATION CONTACT :
------------------------------
--------------------
Dr.VCV.Rao
hyPACK-2013 Workshop Co-ordinator
hyPACK-2013 Secretariat
Associate Director/HoD
HPC-Frontier Technolgies Exploration (HPC-FTE) Group
Centre for Development of Advanced Computing (C-DAC),
Pune University Campus, Ganeshkhind,
Pune 411 007, INDIA
Email :
vcv...@cdac.in
Email :
hypac...@cdac.in
Tel. :
+91 -20 - 2570 4187
Fax. :
+91 -20 - 2569 4081
Cell :
+91 -99700 92817
For ACCOMMODATION CONTACT :
----------------------------
Shri E. Vinod kumar
hyPACK Workshop Co-ordinator &
hyPACK-2013 Secretariat
Systems Manager
Centre for Modelling Simulation and Design (CMSD)
University of Hyderabad, Prof. C.R.Rao Road
Central University P.O., Gachibowli
Hyderabad 500 046
Desk Phone :
+91 -40 - 2313 8002
Fax :
+91 -40 - 2313 8001
Cell Phone :
+91 - 98484 15788
Email:
vi...@uohyd.ernet.in
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