What else is available besides OpenMP?

Size: px
Start display at page:

Download "What else is available besides OpenMP?"

Transcription

1 What else is available besides OpenMP? Christian Terboven aachen.de Center for Computing and Communication RWTH Aachen University Parallel Programming June 6, RWTH Aachen University

2 Other Shared Memory paradigms o OpenMP: de facto standard, supported by all compilers Based on / Win32 Threads thos can be programmed by hand as well o C++ library, fits nicely to STL like programming style Provides parallel containers and operations: tasks, parallel_for, parallel_reduce, parallel_scan, parallel_sort, Commercial + Open Source variants, Windows + Linux + Solaris 2 o : The next release of C++ Will provide a memory model for multi threading Will provide basic thread management (currently in Boost)

3 Pi with OpenMP double f(double x) { return (double)4.0 / ((double)1.0 + (x*x)); void computepi() { double h = (double)1.0 / (double)inumintervals; double sum = 0, x; #pragma omp parallel for private(x) reduction(+:sum) for (int i = 1; i <= inumintervals; i++) { x = h * ((double)i - (double)0.5); sum += f(x); mypi = h * sum; 3

4 Pi with (1/2) 4 initialization of runtime tbb::task_scheduler_init init; CPI CalcPi(1.0 / (double)n); parallel reduction tbb::parallel_reduce(tbb::blocked_range<int>(1, n+1), CalcPi); pi = (1.0 / (double)n) * CalcPi.sum;

5 5 Advanced Topics on OpenMP Pi with (2/2) class CPI { public: functor: do the actual work here double sum; void operator() (const tbb::blocked_range<int>& r) { double x = 0.0; for (int i = r.begin(); i!= r.end(); ++i) { x = h * ((double)i 0.5); sum += f(x); constructor CPI(double) {... constructor CPI(CPI& other, tbb::split) {... void join(cpi& other) { sum += other.sum; reduction helper initialization of runtime tbb::task_scheduler_init init; CPI CalcPi(h /*=1.0 / (double)n*/); parallel reduction tbb::parallel_reduce(tbb::blocked_range<int>(1, n+1), CalcPi); pi = (h * CalcPi.sum;

6 Pi with [currently: Boost] (1/2) 6 thread_group t; for (int i = 0; i < = g_inumthreads; i++) t.create_thread( CalcPi(i) ); t.join_all(); spawn and join threads

7 7 Advanced Topics on OpenMP Pi with [currently: Boost] (1/2) struct CalcPi { CalcPi(int _in) : m_in { functor: do the actual work here void operator() { double dpi = 0.0, dh = 1.0 / (double)g_intervals, dsum = 0; for (int i = m_in + 1; i<=g_intervals; i+= g_inumthreads) { double dx = dh * ((double)i + 0.5); dsum += f(dx); dpi = dh * dsum; { mutex::scoped_lock1(g_mred); g_dpi += dpi; Mutual Exclusion thread_group t; for (int i = 0; i < = g_inumthreads; i++) spawn and join threads t.create_thread( CalcPi(i) ); t.join_all();

8 Pi with (1/2) pthread_t *tid; pthread_mutex_t reduction_mutex; 8 management overhead tid = (pthread_t*) calloc(g_inumthreads, sizeof(pthread_t)); for (i = 0; i < g_inumthreads; i++) pthread_create(&tid[i], NULL, PIworker, NULL); for (i = 0; i < g_inumthreads; i++) pthread_join(tid[i], NULL); spawn and join threads

9 9 Advanced Topics on OpenMP Pi with (2/2) pthread_t *tid; pthread_mutex_t reduction_mutex; Outlining the manual way void PIworker(void *arg) { int myid = pthread_self() tid[0]; for (int i = myid + 1; i <= g_intervals; i+= g_inumthreads) { /* computation of dpi */ pthread_mutex_lock(&reduction_mutex); g_dpi += dpi; Critical Region the pthread_mutex_unlock(&reduction_mutex); manual way management overhead tid = (pthread_t*) calloc(g_inumthreads, sizeof(pthread_t)); for (i = 0; i < g_inumthreads; i++) pthread_create(&tid[i], NULL, PIworker, NULL); for (i = 0; i < g_inumthreads; i++) pthread_join(tid[i], NULL); spawn and join threads

10 The End Thank you for your attention! 10

Introduction to OpenMP

Introduction to OpenMP Introduction to OpenMP Christian Terboven 10.04.2013 / Darmstadt, Germany Stand: 06.03.2013 Version 2.3 Rechen- und Kommunikationszentrum (RZ) History De-facto standard for

More information

OpenMP Overview. in 30 Minutes. Christian Terboven / Aachen, Germany Stand: Version 2.

OpenMP Overview. in 30 Minutes. Christian Terboven / Aachen, Germany Stand: Version 2. OpenMP Overview in 30 Minutes Christian Terboven 06.12.2010 / Aachen, Germany Stand: 03.12.2010 Version 2.3 Rechen- und Kommunikationszentrum (RZ) Agenda OpenMP: Parallel Regions,

More information

Introduction to OpenMP

Introduction to OpenMP Christian Terboven, Dirk Schmidl IT Center, RWTH Aachen University Member of the HPC Group terboven,schmidl@itc.rwth-aachen.de IT Center der RWTH Aachen University History De-facto standard for Shared-Memory

More information

Parallel Programming. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University

Parallel Programming. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University Parallel Programming Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Challenges Difficult to write parallel programs Most programmers think sequentially

More information

OpenMP I. Diego Fabregat-Traver and Prof. Paolo Bientinesi WS16/17. HPAC, RWTH Aachen

OpenMP I. Diego Fabregat-Traver and Prof. Paolo Bientinesi WS16/17. HPAC, RWTH Aachen OpenMP I Diego Fabregat-Traver and Prof. Paolo Bientinesi HPAC, RWTH Aachen fabregat@aices.rwth-aachen.de WS16/17 OpenMP References Using OpenMP: Portable Shared Memory Parallel Programming. The MIT Press,

More information

OpenMP for Accelerators

OpenMP for Accelerators OpenMP for Accelerators an overview of the current proposal as of October 11th, 2012 Christian Terboven 11.10.2012 / Aachen, Germany Stand: 10.10.2012 Version 2.3 Rechen- und

More information

Tasks and Threads. What? When? Tasks and Threads. Use OpenMP Threading Building Blocks (TBB) Intel Math Kernel Library (MKL)

Tasks and Threads. What? When? Tasks and Threads. Use OpenMP Threading Building Blocks (TBB) Intel Math Kernel Library (MKL) CGT 581I - Parallel Graphics and Simulation Knights Landing Tasks and Threads Bedrich Benes, Ph.D. Professor Department of Computer Graphics Purdue University Tasks and Threads Use OpenMP Threading Building

More information

OpenMP - II. Diego Fabregat-Traver and Prof. Paolo Bientinesi WS15/16. HPAC, RWTH Aachen

OpenMP - II. Diego Fabregat-Traver and Prof. Paolo Bientinesi WS15/16. HPAC, RWTH Aachen OpenMP - II Diego Fabregat-Traver and Prof. Paolo Bientinesi HPAC, RWTH Aachen fabregat@aices.rwth-aachen.de WS15/16 OpenMP References Using OpenMP: Portable Shared Memory Parallel Programming. The MIT

More information

PThreads in a Nutshell

PThreads in a Nutshell PThreads in a Nutshell Chris Kauffman CS 499: Spring 2016 GMU Logistics Today POSIX Threads Briefly Reading Grama 7.1-9 (PThreads) POSIX Threads Programming Tutorial HW4 Upcoming Post over the weekend

More information

CS 261 Fall Mike Lam, Professor. Threads

CS 261 Fall Mike Lam, Professor. Threads CS 261 Fall 2017 Mike Lam, Professor Threads Parallel computing Goal: concurrent or parallel computing Take advantage of multiple hardware units to solve multiple problems simultaneously Motivations: Maintain

More information

12:00 13:20, December 14 (Monday), 2009 # (even student id)

12:00 13:20, December 14 (Monday), 2009 # (even student id) Final Exam 12:00 13:20, December 14 (Monday), 2009 #330110 (odd student id) #330118 (even student id) Scope: Everything Closed-book exam Final exam scores will be posted in the lecture homepage 1 Parallel

More information

Introduction to OpenMP

Introduction to OpenMP 1 / 7 Introduction to OpenMP: Exercises and Handout Introduction to OpenMP Christian Terboven Center for Computing and Communication, RWTH Aachen University Seffenter Weg 23, 52074 Aachen, Germany Abstract

More information

DPHPC: Introduction to OpenMP Recitation session

DPHPC: Introduction to OpenMP Recitation session SALVATORE DI GIROLAMO DPHPC: Introduction to OpenMP Recitation session Based on http://openmp.org/mp-documents/intro_to_openmp_mattson.pdf OpenMP An Introduction What is it? A set of compiler directives

More information

Threaded Programming. Lecture 9: Alternatives to OpenMP

Threaded Programming. Lecture 9: Alternatives to OpenMP Threaded Programming Lecture 9: Alternatives to OpenMP What s wrong with OpenMP? OpenMP is designed for programs where you want a fixed number of threads, and you always want the threads to be consuming

More information

Parallel Programming Principle and Practice. Lecture 7 Threads programming with TBB. Jin, Hai

Parallel Programming Principle and Practice. Lecture 7 Threads programming with TBB. Jin, Hai Parallel Programming Principle and Practice Lecture 7 Threads programming with TBB Jin, Hai School of Computer Science and Technology Huazhong University of Science and Technology Outline Intel Threading

More information

DPHPC: Introduction to OpenMP Recitation session

DPHPC: Introduction to OpenMP Recitation session SALVATORE DI GIROLAMO DPHPC: Introduction to OpenMP Recitation session Based on http://openmp.org/mp-documents/intro_to_openmp_mattson.pdf OpenMP An Introduction What is it? A set

More information

C++ and OpenMP. 1 ParCo 07 Terboven C++ and OpenMP. Christian Terboven. Center for Computing and Communication RWTH Aachen University, Germany

C++ and OpenMP. 1 ParCo 07 Terboven C++ and OpenMP. Christian Terboven. Center for Computing and Communication RWTH Aachen University, Germany C++ and OpenMP Christian Terboven terboven@rz.rwth-aachen.de Center for Computing and Communication RWTH Aachen University, Germany 1 ParCo 07 Terboven C++ and OpenMP Agenda OpenMP and objects OpenMP and

More information

Table of Contents. Cilk

Table of Contents. Cilk Table of Contents 212 Introduction to Parallelism Introduction to Programming Models Shared Memory Programming Message Passing Programming Shared Memory Models Cilk TBB HPF Chapel Fortress Stapl PGAS Languages

More information

OpenMP and more Deadlock 2/16/18

OpenMP and more Deadlock 2/16/18 OpenMP and more Deadlock 2/16/18 Administrivia HW due Tuesday Cache simulator (direct-mapped and FIFO) Steps to using threads for parallelism Move code for thread into a function Create a struct to hold

More information

OpenMP examples. Sergeev Efim. Singularis Lab, Ltd. Senior software engineer

OpenMP examples. Sergeev Efim. Singularis Lab, Ltd. Senior software engineer OpenMP examples Sergeev Efim Senior software engineer Singularis Lab, Ltd. OpenMP Is: An Application Program Interface (API) that may be used to explicitly direct multi-threaded, shared memory parallelism.

More information

CS 470 Spring Mike Lam, Professor. Advanced OpenMP

CS 470 Spring Mike Lam, Professor. Advanced OpenMP CS 470 Spring 2017 Mike Lam, Professor Advanced OpenMP Atomics OpenMP provides access to highly-efficient hardware synchronization mechanisms Use the atomic pragma to annotate a single statement Statement

More information

Threads. studykorner.org

Threads. studykorner.org Threads Thread Subpart of a process Basic unit of CPU utilization Smallest set of programmed instructions, can be managed independently by OS No independent existence (process dependent) Light Weight Process

More information

/Users/engelen/Sites/HPC folder/hpc/openmpexamples.c

/Users/engelen/Sites/HPC folder/hpc/openmpexamples.c /* Subset of these examples adapted from: 1. http://www.llnl.gov/computing/tutorials/openmp/exercise.html 2. NAS benchmarks */ #include #include #ifdef _OPENMP #include #endif

More information

Shared Memory Parallel Programming

Shared Memory Parallel Programming Shared Memory Parallel Programming Abhishek Somani, Debdeep Mukhopadhyay Mentor Graphics, IIT Kharagpur August 2, 2015 Abhishek, Debdeep (IIT Kgp) Parallel Programming August 2, 2015 1 / 46 Overview 1

More information

Shared-Memory Programming

Shared-Memory Programming Shared-Memory Programming 1. Threads 2. Mutual Exclusion 3. Thread Scheduling 4. Thread Interfaces 4.1. POSIX Threads 4.2. C++ Threads 4.3. OpenMP 4.4. Threading Building Blocks 5. Side Effects of Hardware

More information

Concurrency, Thread. Dongkun Shin, SKKU

Concurrency, Thread. Dongkun Shin, SKKU Concurrency, Thread 1 Thread Classic view a single point of execution within a program a single PC where instructions are being fetched from and executed), Multi-threaded program Has more than one point

More information

Parallel Programming in C with MPI and OpenMP

Parallel Programming in C with MPI and OpenMP Parallel Programming in C with MPI and OpenMP Michael J. Quinn Chapter 17 Shared-memory Programming 1 Outline n OpenMP n Shared-memory model n Parallel for loops n Declaring private variables n Critical

More information

Runtime Correctness Checking for Emerging Programming Paradigms

Runtime Correctness Checking for Emerging Programming Paradigms (protze@itc.rwth-aachen.de), Christian Terboven, Matthias S. Müller, Serge Petiton, Nahid Emad, Hitoshi Murai and Taisuke Boku RWTH Aachen University, Germany University of Tsukuba / RIKEN, Japan Maison

More information

Introduction to Parallel Programming Part 4 Confronting Race Conditions

Introduction to Parallel Programming Part 4 Confronting Race Conditions Introduction to Parallel Programming Part 4 Confronting Race Conditions Intel Software College Objectives At the end of this module you should be able to: Give practical examples of ways that threads may

More information

Introduction to OpenMP.

Introduction to OpenMP. Introduction to OpenMP www.openmp.org Motivation Parallelize the following code using threads: for (i=0; i

More information

CS 470 Spring Mike Lam, Professor. Advanced OpenMP

CS 470 Spring Mike Lam, Professor. Advanced OpenMP CS 470 Spring 2018 Mike Lam, Professor Advanced OpenMP Atomics OpenMP provides access to highly-efficient hardware synchronization mechanisms Use the atomic pragma to annotate a single statement Statement

More information

NUMA-aware OpenMP Programming

NUMA-aware OpenMP Programming NUMA-aware OpenMP Programming Dirk Schmidl IT Center, RWTH Aachen University Member of the HPC Group schmidl@itc.rwth-aachen.de Christian Terboven IT Center, RWTH Aachen University Deputy lead of the HPC

More information

Parallel Programming in C with MPI and OpenMP

Parallel Programming in C with MPI and OpenMP Parallel Programming in C with MPI and OpenMP Michael J. Quinn Chapter 17 Shared-memory Programming 1 Outline n OpenMP n Shared-memory model n Parallel for loops n Declaring private variables n Critical

More information

Advanced OpenMP: Tools

Advanced OpenMP: Tools Dirk Schmidl schmidl@rz.rwth-aachen.de Parallel Programming Summer Course 3.07.203 / Aachen Rechen- und Kommunikationszentrum (RZ) OpenMP Tools Intel Inspector XE Overview Live Demo Intel Amplifier XE

More information

Parallel Programming. OpenMP Parallel programming for multiprocessors for loops

Parallel Programming. OpenMP Parallel programming for multiprocessors for loops Parallel Programming OpenMP Parallel programming for multiprocessors for loops OpenMP OpenMP An application programming interface (API) for parallel programming on multiprocessors Assumes shared memory

More information

Data Environment: Default storage attributes

Data Environment: Default storage attributes COSC 6374 Parallel Computation Introduction to OpenMP(II) Some slides based on material by Barbara Chapman (UH) and Tim Mattson (Intel) Edgar Gabriel Fall 2014 Data Environment: Default storage attributes

More information

Shared memory parallel computing. Intel Threading Building Blocks

Shared memory parallel computing. Intel Threading Building Blocks Shared memory parallel computing Intel Threading Building Blocks Introduction & history Threading Building Blocks (TBB) cross platform C++ template lib for task-based shared memory parallel programming

More information

C++ and OpenMP Christian Terboven Center for Computing and Communication RWTH Aachen University, Germany

C++ and OpenMP Christian Terboven Center for Computing and Communication RWTH Aachen University, Germany ++ and OpenMP hristian Terboven terboven@rz.rwth-aachen.de enter omputing and ommunication RWTH Aachen University, Germany 1 IWOMP 07 Tutorial ++ and OpenMP enter omputing and ommunication Agenda OpenMP

More information

ECE/ME/EMA/CS 759 High Performance Computing for Engineering Applications

ECE/ME/EMA/CS 759 High Performance Computing for Engineering Applications ECE/ME/EMA/CS 759 High Performance Computing for Engineering Applications Variable Sharing in OpenMP OpenMP synchronization issues OpenMP performance issues November 4, 2015 Lecture 22 Dan Negrut, 2015

More information

Parallel Programming in C with MPI and OpenMP

Parallel Programming in C with MPI and OpenMP Parallel Programming in C with MPI and OpenMP Michael J. Quinn Chapter 17 Shared-memory Programming Outline OpenMP Shared-memory model Parallel for loops Declaring private variables Critical sections Reductions

More information

Advanced OpenMP Features

Advanced OpenMP Features Christian Terboven, Dirk Schmidl IT Center, RWTH Aachen University Member of the HPC Group {terboven,schmidl@itc.rwth-aachen.de IT Center der RWTH Aachen University Vectorization 2 Vectorization SIMD =

More information

Parallelising serial applications. Darryl Gove Compiler Performance Engineering

Parallelising serial applications. Darryl Gove Compiler Performance Engineering Parallelising serial applications Darryl Gove Compiler Performance Engineering Topics Process Tools Expectations 2 Profile Compile with debug info > -g [C/Fortran] > -g0 [C++] > Enables mapping of disassembly

More information

Windows RWTH Aachen University

Windows RWTH Aachen University Christian Terboven terboven@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University Windows HPC User Group Meeting 17 November, Austin, TX, USA Agenda o o HPC on Windows: Case Studies

More information

HPC Tools on Windows. Christian Terboven Center for Computing and Communication RWTH Aachen University.

HPC Tools on Windows. Christian Terboven Center for Computing and Communication RWTH Aachen University. - Excerpt - Christian Terboven terboven@rz.rwth-aachen.de Center for Computing and Communication RWTH Aachen University PPCES March 25th, RWTH Aachen University Agenda o Intel Trace Analyzer and Collector

More information

Parallel Programming with OpenMP. CS240A, T. Yang

Parallel Programming with OpenMP. CS240A, T. Yang Parallel Programming with OpenMP CS240A, T. Yang 1 A Programmer s View of OpenMP What is OpenMP? Open specification for Multi-Processing Standard API for defining multi-threaded shared-memory programs

More information

Concurrent Programming with OpenMP

Concurrent Programming with OpenMP Concurrent Programming with OpenMP Parallel and Distributed Computing Department of Computer Science and Engineering (DEI) Instituto Superior Técnico March 7, 2016 CPD (DEI / IST) Parallel and Distributed

More information

IWOMP Dresden, Germany

IWOMP Dresden, Germany IWOMP 2009 Dresden, Germany Providing Observability for OpenMP 3.0 Applications Yuan Lin, Oleg Mazurov Overview Objective The Data Model OpenMP Runtime API for Profiling Collecting Data Examples Overhead

More information

HPCSE - I. «Introduction to multithreading» Panos Hadjidoukas

HPCSE - I. «Introduction to multithreading» Panos Hadjidoukas HPCSE - I «Introduction to multithreading» Panos Hadjidoukas 1 Processes and Threads POSIX Threads API Outline Thread management Synchronization with mutexes Deadlock and thread safety 2 Terminology -

More information

Performance Tools for Technical Computing

Performance Tools for Technical Computing Christian Terboven terboven@rz.rwth-aachen.de Center for Computing and Communication RWTH Aachen University Intel Software Conference 2010 April 13th, Barcelona, Spain Agenda o Motivation and Methodology

More information

CMSC 714 Lecture 4 OpenMP and UPC. Chau-Wen Tseng (from A. Sussman)

CMSC 714 Lecture 4 OpenMP and UPC. Chau-Wen Tseng (from A. Sussman) CMSC 714 Lecture 4 OpenMP and UPC Chau-Wen Tseng (from A. Sussman) Programming Model Overview Message passing (MPI, PVM) Separate address spaces Explicit messages to access shared data Send / receive (MPI

More information

Advanced Operating Systems : Exam Guide. Question/Material Distribution Guide. Exam Type Questions

Advanced Operating Systems : Exam Guide. Question/Material Distribution Guide. Exam Type Questions Advanced Operating Systems 2009-2010 : Exam Guide There will be a two-hour exam, and students will be asked to attempt four questions from a choice of five. In designing the five questions I ll refer to

More information

Advanced programming with OpenMP. Libor Bukata a Jan Dvořák

Advanced programming with OpenMP. Libor Bukata a Jan Dvořák Advanced programming with OpenMP Libor Bukata a Jan Dvořák Programme of the lab OpenMP Tasks parallel merge sort, parallel evaluation of expressions OpenMP SIMD parallel integration to calculate π User-defined

More information

Intel Thread Building Blocks, Part II

Intel Thread Building Blocks, Part II Intel Thread Building Blocks, Part II SPD course 2013-14 Massimo Coppola 25/03, 16/05/2014 1 TBB Recap Portable environment Based on C++11 standard compilers Extensive use of templates No vectorization

More information

A Programmer s View of Shared and Distributed Memory Architectures

A Programmer s View of Shared and Distributed Memory Architectures A Programmer s View of Shared and Distributed Memory Architectures Overview Shared-memory Architecture: chip has some number of cores (e.g., Intel Skylake has up to 18 cores depending on the model) with

More information

Parallel Programming. Exploring local computational resources OpenMP Parallel programming for multiprocessors for loops

Parallel Programming. Exploring local computational resources OpenMP Parallel programming for multiprocessors for loops Parallel Programming Exploring local computational resources OpenMP Parallel programming for multiprocessors for loops Single computers nowadays Several CPUs (cores) 4 to 8 cores on a single chip Hyper-threading

More information

Thread Fundamentals. CSCI 315 Operating Systems Design 1

Thread Fundamentals. CSCI 315 Operating Systems Design 1 Thread Fundamentals Notice: This set of slides is based on the notes by Professor Perrone of Bucknell and the textbook authors Silberschatz, Galvin, and Gagne, as well as the tutorial by Blaise Barney

More information

Concurrent Server Design Multiple- vs. Single-Thread

Concurrent Server Design Multiple- vs. Single-Thread Concurrent Server Design Multiple- vs. Single-Thread Chuan-Ming Liu Computer Science and Information Engineering National Taipei University of Technology Fall 2007, TAIWAN NTUT, TAIWAN 1 Examples Using

More information

Guillimin HPC Users Meeting January 13, 2017

Guillimin HPC Users Meeting January 13, 2017 Guillimin HPC Users Meeting January 13, 2017 guillimin@calculquebec.ca McGill University / Calcul Québec / Compute Canada Montréal, QC Canada Please be kind to your fellow user meeting attendees Limit

More information

OpenMP in the Multicore Era

OpenMP in the Multicore Era in the Era Christian Terboven, Dieter an Mey {terboven, anmey}@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University, Germany 5th International Conference on Automatic Differentiation

More information

Parallel programming using OpenMP

Parallel programming using OpenMP Parallel programming using OpenMP Computer Architecture J. Daniel García Sánchez (coordinator) David Expósito Singh Francisco Javier García Blas ARCOS Group Computer Science and Engineering Department

More information

Tasking and OpenMP Success Stories

Tasking and OpenMP Success Stories Tasking and OpenMP Success Stories Christian Terboven 23.03.2011 / Aachen, Germany Stand: 21.03.2011 Version 2.3 Rechen- und Kommunikationszentrum (RZ) Agenda OpenMP: Tasking

More information

High Performance Computing: Tools and Applications

High Performance Computing: Tools and Applications High Performance Computing: Tools and Applications Edmond Chow School of Computational Science and Engineering Georgia Institute of Technology Lecture 2 OpenMP Shared address space programming High-level

More information

OpenMP - III. Diego Fabregat-Traver and Prof. Paolo Bientinesi WS15/16. HPAC, RWTH Aachen

OpenMP - III. Diego Fabregat-Traver and Prof. Paolo Bientinesi WS15/16. HPAC, RWTH Aachen OpenMP - III Diego Fabregat-Traver and Prof. Paolo Bientinesi HPAC, RWTH Aachen fabregat@aices.rwth-aachen.de WS15/16 OpenMP References Using OpenMP: Portable Shared Memory Parallel Programming. The MIT

More information

Parallelism paradigms

Parallelism paradigms Parallelism paradigms Intro part of course in Parallel Image Analysis Elias Rudberg elias.rudberg@it.uu.se March 23, 2011 Outline 1 Parallelization strategies 2 Shared memory 3 Distributed memory 4 Parallelization

More information

CS Operating system

CS Operating system Name / ID (please PRINT) Seq#: Seat Number CS 3733.001 -- Operating system Spring 2017 -- Midterm II -- April 13, 2017 You have 75 min. Good Luck! This is a closed book/note examination. But You can use

More information

Advanced OpenMP. Other threading APIs

Advanced OpenMP. Other threading APIs Advanced OpenMP Other threading APIs What s wrong with OpenMP? OpenMP is designed for programs where you want a fixed number of threads, and you always want the threads to be consuming CPU cycles. - cannot

More information

POSIX Threads and OpenMP tasks

POSIX Threads and OpenMP tasks POSIX Threads and OpenMP tasks Jimmy Aguilar Mena February 16, 2018 Introduction Pthreads Tasks Two simple schemas Independent functions # include # include void f u n c t i

More information

Programming Shared Memory Systems with OpenMP Part I. Book

Programming Shared Memory Systems with OpenMP Part I. Book Programming Shared Memory Systems with OpenMP Part I Instructor Dr. Taufer Book Parallel Programming in OpenMP by Rohit Chandra, Leo Dagum, Dave Kohr, Dror Maydan, Jeff McDonald, Ramesh Menon 2 1 Machine

More information

OpenMP. Dr. William McDoniel and Prof. Paolo Bientinesi WS17/18. HPAC, RWTH Aachen

OpenMP. Dr. William McDoniel and Prof. Paolo Bientinesi WS17/18. HPAC, RWTH Aachen OpenMP Dr. William McDoniel and Prof. Paolo Bientinesi HPAC, RWTH Aachen mcdoniel@aices.rwth-aachen.de WS17/18 Loop construct - Clauses #pragma omp for [clause [, clause]...] The following clauses apply:

More information

6.189 IAP Lecture 5. Parallel Programming Concepts. Dr. Rodric Rabbah, IBM IAP 2007 MIT

6.189 IAP Lecture 5. Parallel Programming Concepts. Dr. Rodric Rabbah, IBM IAP 2007 MIT 6.189 IAP 2007 Lecture 5 Parallel Programming Concepts 1 6.189 IAP 2007 MIT Recap Two primary patterns of multicore architecture design Shared memory Ex: Intel Core 2 Duo/Quad One copy of data shared among

More information

THREADS. Jo, Heeseung

THREADS. Jo, Heeseung THREADS Jo, Heeseung TODAY'S TOPICS Why threads? Threading issues 2 PROCESSES Heavy-weight A process includes many things: - An address space (all the code and data pages) - OS resources (e.g., open files)

More information

Lecture 7. OpenMP: Reduction, Synchronization, Scheduling & Applications

Lecture 7. OpenMP: Reduction, Synchronization, Scheduling & Applications Lecture 7 OpenMP: Reduction, Synchronization, Scheduling & Applications Announcements Section and Lecture will be switched on Thursday and Friday Thursday: section and Q2 Friday: Lecture 2010 Scott B.

More information

CS370 Operating Systems

CS370 Operating Systems CS370 Operating Systems Colorado State University Yashwant K Malaiya Fall 2017 Lecture 8 Slides based on Text by Silberschatz, Galvin, Gagne Various sources 1 1 FAQ How many partners can we cave for project:

More information

OpenMP Tutorial. Dirk Schmidl. IT Center, RWTH Aachen University. Member of the HPC Group Christian Terboven

OpenMP Tutorial. Dirk Schmidl. IT Center, RWTH Aachen University. Member of the HPC Group Christian Terboven OpenMP Tutorial Dirk Schmidl IT Center, RWTH Aachen University Member of the HPC Group schmidl@itc.rwth-aachen.de IT Center, RWTH Aachen University Head of the HPC Group terboven@itc.rwth-aachen.de 1 IWOMP

More information

Concepts in. Programming. The Multicore- Software Challenge. MIT Professional Education 6.02s Lecture 1 June 8 9, 2009

Concepts in. Programming. The Multicore- Software Challenge. MIT Professional Education 6.02s Lecture 1 June 8 9, 2009 Concepts in Multicore Programming The Multicore- Software Challenge MIT Professional Education 6.02s Lecture 1 June 8 9, 2009 2009 Charles E. Leiserson 1 Cilk, Cilk++, and Cilkscreen, are trademarks of

More information

Parallelizing N-Queens with Intel Parallel Composer

Parallelizing N-Queens with Intel Parallel Composer Parallelizing N-Queens with Intel Parallel Composer Sample Code Guide Document Number: 320506-001US Revision: 1.2 World Wide Web: http://www.intel.com/ Parallelizing N-Queens with Intel Parallel Composer

More information

OpenMP. Dr. William McDoniel and Prof. Paolo Bientinesi WS17/18. HPAC, RWTH Aachen

OpenMP. Dr. William McDoniel and Prof. Paolo Bientinesi WS17/18. HPAC, RWTH Aachen OpenMP Dr. William McDoniel and Prof. Paolo Bientinesi HPAC, RWTH Aachen mcdoniel@aices.rwth-aachen.de WS17/18 Tasks To date: Data parallelism: #pragma omp for Limited task parallelism: #pragma omp sections

More information

1 de :02

1 de :02 1 de 6 02-12-2005 18:02!" $%$&&$ ' ( ) ) * +,"* (-)( )(*) ) ). /) %) ( ( -( *)% ) (0 ( " ' * ) *) *)(%* % ) (!%12%! ( ) ( ( )*)3 *) ( *(-)( %. )(( ) *(!() 2 ( (6 &)*7 8 ( 1( -(! ", % ' ( *.() (%) )() (

More information

Hybrid MPI and OpenMP Parallel Programming

Hybrid MPI and OpenMP Parallel Programming Hybrid MPI and OpenMP Parallel Programming Jemmy Hu SHARCNET HPTC Consultant July 8, 2015 Objectives difference between message passing and shared memory models (MPI, OpenMP) why or why not hybrid? a common

More information

PROGRAMOVÁNÍ V C++ CVIČENÍ. Michal Brabec

PROGRAMOVÁNÍ V C++ CVIČENÍ. Michal Brabec PROGRAMOVÁNÍ V C++ CVIČENÍ Michal Brabec PARALLELISM CATEGORIES CPU? SSE Multiprocessor SIMT - GPU 2 / 17 PARALLELISM V C++ Weak support in the language itself, powerful libraries Many different parallelization

More information

Parallel Programming

Parallel Programming Parallel Programming OpenMP Dr. Hyrum D. Carroll November 22, 2016 Parallel Programming in a Nutshell Load balancing vs Communication This is the eternal problem in parallel computing. The basic approaches

More information

Concurrent Programming with OpenMP

Concurrent Programming with OpenMP Concurrent Programming with OpenMP Parallel and Distributed Computing Department of Computer Science and Engineering (DEI) Instituto Superior Técnico October 11, 2012 CPD (DEI / IST) Parallel and Distributed

More information

OpenMP, Part 2. EAS 520 High Performance Scientific Computing. University of Massachusetts Dartmouth. Spring 2015

OpenMP, Part 2. EAS 520 High Performance Scientific Computing. University of Massachusetts Dartmouth. Spring 2015 OpenMP, Part 2 EAS 520 High Performance Scientific Computing University of Massachusetts Dartmouth Spring 2015 References This presentation is almost an exact copy of Dartmouth College's openmp tutorial.

More information

Thread and Synchronization

Thread and Synchronization Thread and Synchronization pthread Programming (Module 19) Yann-Hang Lee Arizona State University yhlee@asu.edu (480) 727-7507 Summer 2014 Real-time Systems Lab, Computer Science and Engineering, ASU Pthread

More information

Moore s Law. Multicore Programming. Vendor Solution. Power Density. Parallelism and Performance MIT Lecture 11 1.

Moore s Law. Multicore Programming. Vendor Solution. Power Density. Parallelism and Performance MIT Lecture 11 1. Moore s Law 1000000 Intel CPU Introductions 6.172 Performance Engineering of Software Systems Lecture 11 Multicore Programming Charles E. Leiserson 100000 10000 1000 100 10 Clock Speed (MHz) Transistors

More information

MIT OpenCourseWare Multicore Programming Primer, January (IAP) Please use the following citation format:

MIT OpenCourseWare Multicore Programming Primer, January (IAP) Please use the following citation format: MIT OpenCourseWare http://ocw.mit.edu 6.189 Multicore Programming Primer, January (IAP) 2007 Please use the following citation format: Rodric Rabbah, 6.189 Multicore Programming Primer, January (IAP) 2007.

More information

Scientific Computing

Scientific Computing Lecture on Scientific Computing Dr. Kersten Schmidt Lecture 20 Technische Universität Berlin Institut für Mathematik Wintersemester 2014/2015 Syllabus Linear Regression, Fast Fourier transform Modelling

More information

Intel Developer Products for Parallelized Software Development

Intel Developer Products for Parallelized Software Development Intel Developer Products for Parallelized Software Development Vipin Kumar E K Technical Consulting Engineer Software Solutions Group, Intel 1 Software Solutions Group - Developer Products Division Agenda

More information

ENCM 501 Winter 2019 Assignment 9

ENCM 501 Winter 2019 Assignment 9 page 1 of 6 ENCM 501 Winter 2019 Assignment 9 Steve Norman Department of Electrical & Computer Engineering University of Calgary April 2019 Assignment instructions and other documents for ENCM 501 can

More information

Raspberry Pi Basics. CSInParallel Project

Raspberry Pi Basics. CSInParallel Project Raspberry Pi Basics CSInParallel Project Sep 11, 2016 CONTENTS 1 Getting started with the Raspberry Pi 1 2 A simple parallel program 3 3 Running Loops in parallel 7 4 When loops have dependencies 11 5

More information

Outline. CS4254 Computer Network Architecture and Programming. Introduction 2/4. Introduction 1/4. Dr. Ayman A. Abdel-Hamid.

Outline. CS4254 Computer Network Architecture and Programming. Introduction 2/4. Introduction 1/4. Dr. Ayman A. Abdel-Hamid. Threads Dr. Ayman Abdel-Hamid, CS4254 Spring 2006 1 CS4254 Computer Network Architecture and Programming Dr. Ayman A. Abdel-Hamid Computer Science Department Virginia Tech Threads Outline Threads (Chapter

More information

Debugging Serial and Parallel Programs with Visual Studio

Debugging Serial and Parallel Programs with Visual Studio and Parallel Programs with Visual Studio Christian Terboven terboven@rz.rwth aachen.de Center for Computing and Communication RWTH Aachen University Windows HPC 2008 (II) September 17, RWTH Aachen Agenda

More information

Introduction to OpenMP. Martin Čuma Center for High Performance Computing University of Utah

Introduction to OpenMP. Martin Čuma Center for High Performance Computing University of Utah Introduction to OpenMP Martin Čuma Center for High Performance Computing University of Utah mcuma@chpc.utah.edu Overview Quick introduction. Parallel loops. Parallel loop directives. Parallel sections.

More information

Shared Memory Programming. Parallel Programming Overview

Shared Memory Programming. Parallel Programming Overview Shared Memory Programming Arvind Krishnamurthy Fall 2004 Parallel Programming Overview Basic parallel programming problems: 1. Creating parallelism & managing parallelism Scheduling to guarantee parallelism

More information

Getting Performance from OpenMP Programs on NUMA Architectures

Getting Performance from OpenMP Programs on NUMA Architectures Getting Performance from OpenMP Programs on NUMA Architectures Christian Terboven, RWTH Aachen University terboven@itc.rwth-aachen.de EU H2020 Centre of Excellence (CoE) 1 October 2015 31 March 2018 Grant

More information

Acknowledgments. Amdahl s Law. Contents. Programming with MPI Parallel programming. 1 speedup = (1 P )+ P N. Type to enter text

Acknowledgments. Amdahl s Law. Contents. Programming with MPI Parallel programming. 1 speedup = (1 P )+ P N. Type to enter text Acknowledgments Programming with MPI Parallel ming Jan Thorbecke Type to enter text This course is partly based on the MPI courses developed by Rolf Rabenseifner at the High-Performance Computing-Center

More information

CSCI4430 Data Communication and Computer Networks. Pthread Programming. ZHANG, Mi Jan. 26, 2017

CSCI4430 Data Communication and Computer Networks. Pthread Programming. ZHANG, Mi Jan. 26, 2017 CSCI4430 Data Communication and Computer Networks Pthread Programming ZHANG, Mi Jan. 26, 2017 Outline Introduction What is Multi-thread Programming Why to use Multi-thread Programming Basic Pthread Programming

More information

ECE 574 Cluster Computing Lecture 10

ECE 574 Cluster Computing Lecture 10 ECE 574 Cluster Computing Lecture 10 Vince Weaver http://www.eece.maine.edu/~vweaver vincent.weaver@maine.edu 1 October 2015 Announcements Homework #4 will be posted eventually 1 HW#4 Notes How granular

More information

Parallel Computing. Lecture 17: OpenMP Last Touch

Parallel Computing. Lecture 17: OpenMP Last Touch CSCI-UA.0480-003 Parallel Computing Lecture 17: OpenMP Last Touch Mohamed Zahran (aka Z) mzahran@cs.nyu.edu http://www.mzahran.com Some slides from here are adopted from: Yun (Helen) He and Chris Ding

More information

CSC 1600: Chapter 6. Synchronizing Threads. Semaphores " Review: Multi-Threaded Processes"

CSC 1600: Chapter 6. Synchronizing Threads. Semaphores  Review: Multi-Threaded Processes CSC 1600: Chapter 6 Synchronizing Threads with Semaphores " Review: Multi-Threaded Processes" 1 badcnt.c: An Incorrect Program" #define NITERS 1000000 unsigned int cnt = 0; /* shared */ int main() pthread_t

More information