Optimizing Performance of Parallel Programs on
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1 C-DAC & IIT Madras Five-Day Technology Workshop Programme ON Optimizing Performance of Parallel Programs on Emerging Multi-Core Processors and & GPUs OPECG-2009 Venue : Indian Institute of Technology Madras Dates : June 1-5,
2 OPECG 2009 OPECG-2009 is aimed to understand emerging parallel processing technology platforms, focusing on various programming paradigms & rich set of tools from end-users point of view One of our Objective is to make strong foundation to enhance the performance of applications on emerging parallel processing platforms (Multi-Core Processors, GPU Computing-CUDA Programming, GPGPUs Stream computing) Use Software Development tools (Intel) to understand performance bottleneck issues of programs Most importantly, Hybrid Adaptive Computing Hardware/ Software - Mixed Programming & Transactional Memory on Multi-Core Processors will be taken up as new initiatives 2
3 OPECG-2009 Enhance the performance of applications on emerging parallel processing platforms (Multi-Cores, GPGPUs, GPU Computing-CUDA,) as well as on Hybrid Adaptive Computing Hardware/ Software - Mixed Programming Multi- Cores Cell Processor & Cell Prog. GPU Computing CUDA Prog. Stream Processing using GPUs GPU Features & Applications Performance Profiling & Tuning Effort and performance Hybrid Computing Exposure to Hands-on Session various Platforms Multi-Cores, GPGPUs-Stream computing, GPU Computing-CUDA 3
4 OPECG-2009 An overview of Hybrid Adaptive Computing Hardware/ Software - Mixed Programming with Hands-on Session & Keynote talks from Industry/Academic/Res. Develop. Organizations and Demonstration Hands-on Session : Quad Core Systems (6) Multi-Core: Introduction & Challenges in Applications Multi-Core : An Overview of Architecture (Part -I, & II) Multi-Core: An Overview of Multi-threading - Pthreads (Part -I,II,III & IV) An Overview of Multi-threading - OpenMP (Part -I, II, & III) An Overview of Multi-threading - Intel Threading Building Blocks Multi-Core : Tools, Debuggers, Libraries (Part-I, & II) Multi-Core : Tuning & Performance (Part -I, & II) Multi-Core : Prog. Env. & Application & Algorithms Design (Part -I & II) Multi-Core : Programming Environment (MPI 1.0/2.0 Part - I II,III, & IV) Multi-Core : Benchmarks (Part- I, II, & III) 4
5 OPECG-2009 An overview of Hybrid Adaptive Computing Hardware/ Software - Mixed Programming with Hands-on Session & Keynote talks from Industry/Academic/Res. Develop. Organizations and Demonstration Hands-on Session GPUs / Hybrid Computing Systems (4-6) GPUs : An Overview of GPU Computing GPUs : NVIDIA GPU Computing CUDA - Tesla 1060 System GPUs : AMD - Stream Computing GPUs : Open Computing Language (OpenCL) Hybrid Computing Mixed Programming (MPI, Intel TBB, GPU) 5
6 OPECG-2009 An overview of Hybrid Adaptive Computing Hardware/ Software - Mixed Programming with Hands-on Session & Keynote talks from Industry/Academic/Res. Develop. Organizations and Demonstration Sponsors : The IT companies and government organisations partial sponsors for OPECG The sponsors provided partial financial assistance, access to their computing systems, use of their software in this technology workshop. 6
7 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) Scientific Research Global Climate Computer Aided Engineering Geo Sciences Finance/Securities Dramatic PRICE/PERFORMANCE Improvement at your Desktop Hybrid Adaptive Computing Digital Entertainment Life & Materials Sciences Electronic Design Automation Government Classified/Defense Product Lifecycle Management/Informatics 7
8 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) Touch upon Current Trends OPECG-2009 Lab : Commodity Components can be used which brings few to Many Teraflops on your Desk top with Accelerators (GPUs - Number crunching Horse Power) OPECG-2009 : Programming Transactional Memory Efforts Open Computing Language (OpenCL) Hybrid Computing Mixed Programming 8
9 OPECG-2009 OPECG-2009 covers an overview of Hybrid Adaptive Computing Hardware/ Software - Mixed Prog. with Hands-on Session & Keynote talks from Industry / Academic / Res. Develop. Org. and Demonstration Multi Cores Processors AMD/Intel/IBM Accelerators / Add-on Cards NVIDIA -GPU Comp. CUDA AMD - GPU Stream Comp. RC-FPGA Programming IBM Cell Broadband Engine Processors OPECG
10 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) Multi Core Processors Sustained Performance 5-10 Tflops Aim Application Killer Applications on Multi-Cores Enhancements and Advances in Technology Standards/Requirements (GPU Computing - CUDA) GPU- Stream Computing Cell Processors RC-FPGA Prog Feedback Drives Performance Identifies Algorithms & Appln Mapping Need Mixed Hardware & Software Prog. Env Supported by State-of-the Infrastructure /Open Source Software 10
11 Multi -node hybrid Adaptive Cluster for Hands-on Session Efficient Mapping of Algorithms on suitable Architectures Economics Easily Migration & Adoption OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) HPC Tools and Programming Environments (CUDA, Intel TBB, FPGA, IBM CBE ) LAN NVIDIA C1050 Tesla RC-FPGA Client Client Client Client Mixed Hardware & Software SAN Fabric Storage In Memory DataBases (Ex. BerKeley DB)) Multi Cores Intel /AMD IBM Cell BroadBase Engine Automatic Parallelizing Compilers & Parallel Debugging & New Programming Paradigms AMD Stream 11
12 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) OPECG-2009 : Mode 1 - Day 1 An Overview of OPECG Classroom Lectures /Hands-on Class-room Lectures : An Overview of Multi-core Architectures Hardware and Software Prog. on Multi-Core Processors : Part-I - Pthreads & OpenMP Performance Enhancement through Software Multi-threading Hands-on Session : Programming : Pthreads Open MP & Performance Issues 12
13 OPECG-2009 : Hybrid Adaptive Computing (Hardware / Software - Mixed Programming) OPECG-2009 : Mode 1 - Day 2 Class-room Lectures : Prog. on Multi-Core Processors : Part-I - Pthreads & OpenMP Performance Enhancement through Software Multi-threading Prog. on Multi-Core Processors : Part-I - Performance Issues - Memory Allocators An Overview of Intel Threading Building Blocks (Intel TBB) Key-note Talk : Tuning & Performance - Tools on Multi-Core Processors; Speaker : Rama Kishan V, Intel Hands-on Session : Programming (MPI, OpenMP, Pthreads) Memory Allocators, Scalable I/O Performance; Intel Tools 13
14 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) OPECG-2009 : Mode 1 - Day 3 Class-room Lectures : Programming on Multi -Core Processors : Part-I - Pthreads versus OpenMP versus Intel TBB Prog. on Multi-Core Processors : MPI / Threading Measuring Performance on Multi-Cores - Benchmarks An Overview of Transactional Memory Keynote Talk (ACADEMIC):Topic : Performance of Compression Algorithms on Hybrid Computing Platforms (Multi-cores, GPUs / Cell Proc.) Speaker: Dr. Pallav Baruah, Sri Sathya Sai University, Anantapur, A.P. Key-note Talk : Fault Power Aware Speed up and Algorithm Based Transient Fault Tolerance in CMPs Speaker: Dr.Soumyendu Raha, SERC, IISc, Banglore. Hands-on Session : Programming : Memory Allocators, Scalable I/O Performance - Intel Tools 14
15 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) OPECG-2009 : Mode 2 - Day 4 Class-room Lectures : An overview of GPU Computing / Hands-on Computing Systems with GPUs Key-note Talk : Implementing Regular and Irregular Operations on the GPU; Speaker: Prof. P.Narayanan, IIIT, Hyderabad Industry : NVIDIA - High Performance Comp. based on GPGPU/ GPU Computing Speaker: Sanjiv Satoor, & Mr.Phani Kumar, NVIDIA Hands-on Session : NVIDIA -Tesla C1060: 1 no. GeForce Cards : 3 no. NVIDIA - Tesla S1070: System with 4 GPU's (Cluster) 15
16 OPECG-2009 : Hybrid Adaptive Computing (Hardware/ Software - Mixed Programming) OPECG-2009 : Mode -2 Day 5 Class-room Lectures : An overview of GPGPUs Stream Computing / An overview of Hybrid Computing; Hands-on Hybrid computing with GPUs Key-note Talk (INDUSTRY): Topic: AMD Stream Computing ( yet to Confirm ) Invited Talk : An overview of OpenCL /OpenGL computing Trends Key-note Talk (R&D): Topic: Performance Issues- Re-Configurable Comp. FPGA Prog; Speaker: Yogindra Abhyankar, C-DAC ( yet to Confirm ) Hands-on Session : AMD ATI Fire Stream 9250:1 no. NVIDIA Tesla C1060; Cluster Tesla S1060 Hybrid Computing Multi-Core Processors, GPUs Lab 16
17 17
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