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EPGP-EG 2013-14, IIM Indore. Course Name : EMERGING TECHNOLOGOES “ Multicore Chips” Group Number: 3. Group Members: 1) Mr. Arbind Kumar (EG2013-04) 2) Ms. Archana Shinde ( EG2013-06) 3) Mr. Pravin Kolhe ( EG2013-17) 4) Mr. Krushna Chnadra Satapathy (EG2013-18 ). INTRODUCTION.
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EPGP-EG 2013-14, IIM Indore.Course Name : EMERGING TECHNOLOGOES“Multicore Chips”Group Number: 3 Group Members:1) Mr. Arbind Kumar (EG2013-04)2) Ms. ArchanaShinde (EG2013-06)3) Mr. Pravin Kolhe (EG2013-17)4) Mr. KrushnaChnadraSatapathy (EG2013-18)
INTRODUCTION • Processor:- Microchip implanted in a CPU's hard drive that processes instructions sent to it by the computer and software programs. • Multicore:- Multi-core processor is IC to which ≥ 2 processors are attached for:- • enhanced performance, • reduced power consumption, • more efficient simultaneous processing of multiple tasks • Challenge: Much of processing power is unharnessed. • Goal: Attract developer to join multicore movement. • How to Use multicore:- • Multithreading :- Single code is executed by several processors. • Parallel :- Property of machine to do side by side. • Concurrent :- Property of program to do at same time.
INITIATIVES FOR MULTICORE APPLICATIONS • Apple’s Initiative: Mac OS X Snow Leopard (Code name-Grand Central) gives application leverage up to 8 cores of processing power. • RapidMind: Offers software development platform that allows developers to exploit quad-core AMD Opteron & Intel Xeon Processors. • Nvidia Graphics Processor: Provided Parallel Programming Language & libraries, called ‘Cuba’. • Java Environment for Parallel Real-Time Development (Jeopard): Java based Real-time applications on multicore chips is planned. • Khronos Group’s Compute Working Group:- Royalty Free Standard for building graphical multicore applications. (OpenCL) • Microsoft: Parallel computing initiative. • Intel’s Parallel Studio for C & C++. • Other Vendors:- Codeplay, Polycore Software, Click Arts etc.
CHALLENGES FOR INDUSTRY • Image, Graphics, videos & business applications will be first to benefit, as they can be broken down in to parts for simultaneous processing. • But, for most complex tasks, it is difficult to find single approach for identifying sequence of parallel computations. • Most software are written for single core chips. • The performance of Off-the-shelf applications reduces after 4 cores. • Lack of multicore programming tools for mainstream developers. • Race Conditions:- Output of one calculation depends on various elements of a task being completed in certain order. • Programs having interdependencies of tasks. • The tools available currently needs manual interventions for identifying code that can be parallelized. • Hardware issues such as Memory Latency & Slow Bus Speed due to limited Memory Bandwidth.
REFERENCES • “Taking advantage of multicore PCs” by Tom Kaneshige, Source URL (retrieved on 2013-05-25 11:32): http://www.infoworld.com/d/developer-world/taking-advantage-multicore-pcs-711. • “Multicore chips pose next big challenge for industry” by Agam Shah, Source URL (retrieved on 2013-05-26 12:55): http://www.infoworld.com/d/developer-world/multicore-chips-pose-next-big-challenge-industry-105 • “Modern multicore and the next generation of IT” by Paul Venezia, Source URL (retrieved on 2013-05-26 01:14): http://www.infoworld.com/d/computer-hardware/modern-multicore-and-the-next-generation-it-325 • “The Trouble With Multicore” by David Patterson, Source URL (retrieved on 2013-05-26 15:37): http://www.ann.ece.ufl.edu/courses/eel4713_12spr/articles/The_Trouble_With_Multicore-IEEE_Spectrum.pdf
Contact: - Pravin Kolhe, Executive Engineer Water Resources Department, Government of Maharashtra Email:- pravinkolhe82@gmail.com www.pravinkolhe.com PPT downloaded from www.pravinkolhe.com