Enhanced Memory debugging of MPI-parallel Applications in Open MPI

Size: px
Start display at page:

Download "Enhanced Memory debugging of MPI-parallel Applications in Open MPI"

Transcription

1 Enhanced Memory debugging of MPI-parallel Applications in Open MPI 4th Parallel tools workshop 2010 Shiqing Fan HLRS, High Performance Computing Center University of Stuttgart, Germany Slide 1

2 Introduction: Open MPI 1/3 A new MPI implementation from scratch w/o the cruft of previous implementation Design started in early 2004 PACX-MPI LAM/MPI LA-MPI FT-MPI Project goals Full, fast & extensible MPI-2 implementation Thread-safety Prevent the forking problem Combine the best ideas and techs. Open source license based on the BSD license Slide 2

3 Introduction: Open MPI 2/3 Current status Stable version v1.2.6 (April 2008) Release v1.3 comes very soon 14 members, 6 contributors 4 US DOE labs 8 universities 7 vendors 1 individual Slide 3

4 Introduction: Open MPI 3/3 Open MPI consists of three sub-packages Open MPI Open RTE Open RunTime Environment Open PAL Open Portable Access Layer Operating System Modular Component Architecture (MCA) Dynamically load available modules like plug-in and check for hardware Select best plug-in and unload others (e.g. if hw not available) Fast indirect calls into each plug-in Framework Framework BTL Comp User application MPI API Module Component Architecture Comp OpenIB TCP Comp Comp Myrinet SM Slide 4

5 Introduction: Valgrind 1/2 An Open-Source Debugging & Profiling tool For x86/linux, AMD64/Linux, PPC32/Linux and PPC64/Linux Works with any dynamically & statically linked application Memcheck - A heavyweight memory checker Runs program on a synthetic CPU Identical to a real CPU, store information of memory Valid-value bits (V-bits) for each bit Has valid value or not Address bits (A-bits) for each byte Possible to read/write that location All reads and writes of memory are checked Calls to malloc/new/free/delete are intercepted Slide 5

6 Introduction: Valgrind 2/2 Use of uninitialized memory only reports the error when using the uninitialized value e.g. : int c[2]; int i = c[0]; /* OK!! */ if (i == 0) /* Memcheck: use of uninitialized value!! */ Use of free d memory Mismatched use of malloc/new with free/delete Memory leaks Overlap src and dst blocks memcpy(), strcpy(), strncpy(), strcat(), strncat() Slide 6

7 Valgrind MPI Example 1/2 Open MPI readily supports execution of apps with valgrind: mpirun np 2 valgrind./mpi_murks: Slide 7

8 Valgrind MPI Example 2/2 PID With Valgrind mpirun np 2 valgrind./mpi_murks: ==11278== Invalid read of size 1 ==11278== at 0x E: memcpy (../../memcheck/mac_replace_strmem.c:256) ==11278== by 0x80690F6: MPID_SHMEM_Eagerb_send_short (mpich/../shmemshort.c:70).. 2 lines of calls to MPIch-functions deleted... ==11278== by 0x80492BA: MPI_Send (/usr/src/mpich/src/pt2pt/send.c:91) ==11278== by 0x8048F28: main (mpi_murks.c:44) ==11278== Address 0x4158B0EF is 3 bytes after a block of size 40 alloc'd ==11278== at 0x4002BBCE: malloc (../../coregrind/vg_replace_malloc.c:160) ==11278== by 0x8048EB0: main (mpi_murks.c:39)... Buffer-Overrun by 4 Bytes in MPI_Send ==11278== Conditional jump or move depends on uninitialised value(s) ==11278== at 0x402985C4: _IO_vfprintf_internal (in /lib/libc so) ==11278== by 0x402A15BD: _IO_printf (in /lib/libc so) ==11278== by 0x8048F44: main (mpi_murks.c:46) It can not find: Printing of uninitialized variable May be run with 1 process: One pending Recv (Marmot). May be run with >2 processes: Unmatched Sends (Marmot). Slide 8

9 Design and implementation 1/3 Memchecker: a new concept to use valgrind s API internally in Open MPI to reveal bugs In the Application In Open MPI itself Implement generic interface memchecker as MCA Implemented in Open PAL layer Configure option --enable-memchecker Possibly pass installed Valgrind --with-valgrind=/path/to/valgrind Simply run command, e.g. : mpirun -np 2 valgrind./my_mpi Open MPI Open RTE Open PAL Memchecker valgrind Memchecker* solaris_rtc Memchecker some mca Operating System *currently no API implemented in rtc. Slide 9

10 Design and implementation 2/3 Detect application s memory violation of MPI-standard Application s usage of undefined data Application s memory access due to MPI-semantics Detect Non-blocking/One-sided communication buffer errors Functions in BTL layer for both communications Set memory accessibility independent of MPI operations i.e. only set accessibility for the fragment to be sent/received Handles derived datatypes MPI object checking Check definedness of MPI objects that passing to MPI API MPI_Status, MPI_Comm, MPI_Request and MPI_Datatype Could be disabled for better performance Slide 10

11 Design and implementation 3/3 Non-blocking send/receive buffer error checking Proc0 Proc1 MPI-Layer Buffer MPI_Isend Inaccessible (unaddressable) Frag0 Frag1 Fragn MPI_Irecv Inaccessible (unaddressable) PML P2P Management Layer BML BTL Management Layer not accessible not accessible Fragn MPI_Wait MPI_Wait BTL Byte Transfer Layer Slide 11

12 Detectable bug-classes 1/3 Non-blocking buffer accessed/modified before finished MPI_Isend (buffer, SIZE, MPI_INT,, &request); buffer[1] = 4711; MPI_Wait (&req, &status); The standard does not (yet) allow read access: MPI_Isend (buffer, SIZE, MPI_INT,, &request); result[1] = buffer[1]; MPI_Wait (&request, &status); Side note: MPI-1, p30, Rationale for restrictive access rules; allows better performance on some systems. Slide 12

13 Detectable bug-classes 2/3 Access to buffer under control of MPI: MPI_Irecv (buffer, SIZE, MPI_CHAR,, &request); buffer[1] = 4711; MPI_Wait (&request, &status); Side note: CRC-based methods do not reliably catch these cases. Memory that is outside receive buffer is overwritten : buffer = malloc( SIZE * sizeof(mpi_char) ); memset (buffer, SIZE * sizeof(mpi_char), 0); MPI_Recv(buffer, SIZE+1, MPI_CHAR,, &status); Side note: MPI-1, p21, rationale of overflow situations: no memory that outside the receive buffer will ever be overwritten. Slide 13

14 Detectable bug-classes 3/3 Usage of the Undefined Memory passed from Open MPI MPI_Wait(&request, &status); if (status.mpi_error!= MPI_SUCCESS) Side note: This field should remain undefined. MPI-1, p22 (not needed for calls that return only one status) MPI-2, p24 (Clarification of status in single-completion calls). Write to buffer before accumulate is finished : MPI_Accumulate(A, NROWS*NCOLS, MPI_INT, 1, 0, 1, \ xpose, MPI_SUM, win); A[0][1] = 4711; MPI_Win_fence(0, win); Slide 14

15 Performance 1/2 Benchmarks Intel MPI Bechmark Environment Dgrid-cluster at HLRS Dual-processor Intel Woodcrest Infiniband-DDR network with the Open Fabrics stack Test cases Plain Open MPI With memchecker component without MPI objects checking Slide 15

16 Performance 2/2 Intel MPI Benchmark, Bi-directional Get test Use 2 nodes, TCP connections employing IPoverIB-interface Run with/without Valgrind Slide 16

17 Valgrind (Memcheck) Extension 1/2 New client requests for: Watching on memory read operations Watching on memory write operations Initiating callback functions on memory read/write Making memory readable and/or writable use fast ordered set algorithm byte-wise memory checking handle the memory with mixed registered and unregistered blocks Slide 17

18 Valgrind (Memcheck) Extension 2/2 VALGRIND_REG_USER_MEM_WATCH (addr, len, op, cb, info) VALGRIND_UNREG_USER_MEM_WATCH (addr, len) Watch op could be: WATCH_MEM_READ, WATCH_MEM_WRITE and WATCH_MEM_RW Valgrind Alloc_mem Read_mem User app Alloc_mem Read_mem Read_cb Slide 18

19 Thank you very much! Slide 19

Memory Checking and Single Processor Optimization with Valgrind [05b]

Memory Checking and Single Processor Optimization with Valgrind [05b] Memory Checking and Single Processor Optimization with Valgrind Memory Checking and Single Processor Optimization with Valgrind [05b] University of Stuttgart High-Performance Computing-Center Stuttgart

More information

Single Processor Optimization III

Single Processor Optimization III Russian-German School on High-Performance Computer Systems, 27th June - 6th July, Novosibirsk 2. Day, 28th of June, 2005 HLRS, University of Stuttgart Slide 1 Outline Motivation Valgrind Memory Tracing

More information

Parallel Debugging. Matthias Müller, Pavel Neytchev, Rainer Keller, Bettina Krammer

Parallel Debugging. Matthias Müller, Pavel Neytchev, Rainer Keller, Bettina Krammer Parallel Debugging Matthias Müller, Pavel Neytchev, Rainer Keller, Bettina Krammer University of Stuttgart High-Performance Computing-Center Stuttgart (HLRS) www.hlrs.de Höchstleistungsrechenzentrum Stuttgart

More information

Implementation and Usage of the PERUSE-Interface in Open MPI

Implementation and Usage of the PERUSE-Interface in Open MPI Implementation and Usage of the PERUSE-Interface in Open MPI Rainer Keller HLRS George Bosilca UTK Graham Fagg UTK Michael Resch HLRS Jack J. Dongarra UTK 13th EuroPVM/MPI 2006, Bonn EU-project HPC-Europa

More information

Open MPI und ADCL. Kommunikationsbibliotheken für parallele, wissenschaftliche Anwendungen. Edgar Gabriel

Open MPI und ADCL. Kommunikationsbibliotheken für parallele, wissenschaftliche Anwendungen. Edgar Gabriel Open MPI und ADCL Kommunikationsbibliotheken für parallele, wissenschaftliche Anwendungen Department of Computer Science University of Houston gabriel@cs.uh.edu Is MPI dead? New MPI libraries released

More information

Open MPI from a user perspective. George Bosilca ICL University of Tennessee

Open MPI from a user perspective. George Bosilca ICL University of Tennessee Open MPI from a user perspective George Bosilca ICL University of Tennessee bosilca@cs.utk.edu From Scratch? Merger of ideas from FT-MPI (U. of Tennessee) LA-MPI (Los Alamos, Sandia) LAM/MPI (Indiana U.)

More information

Memory Analysis tools

Memory Analysis tools Memory Analysis tools PURIFY The Necessity TOOL Application behaviour: Crashes intermittently Uses too much memory Runs too slowly Isn t well tested Is about to ship You need something See what your code

More information

MPI Runtime Error Detection with MUST

MPI Runtime Error Detection with MUST MPI Runtime Error Detection with MUST At the 27th VI-HPS Tuning Workshop Joachim Protze IT Center RWTH Aachen University April 2018 How many issues can you spot in this tiny example? #include #include

More information

Message Passing Interface. most of the slides taken from Hanjun Kim

Message Passing Interface. most of the slides taken from Hanjun Kim Message Passing Interface most of the slides taken from Hanjun Kim Message Passing Pros Scalable, Flexible Cons Someone says it s more difficult than DSM MPI (Message Passing Interface) A standard message

More information

Message Passing Interface

Message Passing Interface Message Passing Interface DPHPC15 TA: Salvatore Di Girolamo DSM (Distributed Shared Memory) Message Passing MPI (Message Passing Interface) A message passing specification implemented

More information

Myths and reality of communication/computation overlap in MPI applications

Myths and reality of communication/computation overlap in MPI applications Myths and reality of communication/computation overlap in MPI applications Alessandro Fanfarillo National Center for Atmospheric Research Boulder, Colorado, USA elfanfa@ucar.edu Oct 12th, 2017 (elfanfa@ucar.edu)

More information

Typical Bugs in parallel Programs

Typical Bugs in parallel Programs Center for Information Services and High Performance Computing (ZIH) Typical Bugs in parallel Programs Parallel Programming Course, Dresden, 8.- 12. February 2016 Joachim Protze (protze@rz.rwth-aachen.de)

More information

Programming Scalable Systems with MPI. Clemens Grelck, University of Amsterdam

Programming Scalable Systems with MPI. Clemens Grelck, University of Amsterdam Clemens Grelck University of Amsterdam UvA / SurfSARA High Performance Computing and Big Data Course June 2014 Parallel Programming with Compiler Directives: OpenMP Message Passing Gentle Introduction

More information

CS 179: GPU Programming. Lecture 14: Inter-process Communication

CS 179: GPU Programming. Lecture 14: Inter-process Communication CS 179: GPU Programming Lecture 14: Inter-process Communication The Problem What if we want to use GPUs across a distributed system? GPU cluster, CSIRO Distributed System A collection of computers Each

More information

MPI History. MPI versions MPI-2 MPICH2

MPI History. MPI versions MPI-2 MPICH2 MPI versions MPI History Standardization started (1992) MPI-1 completed (1.0) (May 1994) Clarifications (1.1) (June 1995) MPI-2 (started: 1995, finished: 1997) MPI-2 book 1999 MPICH 1.2.4 partial implemention

More information

Use Dynamic Analysis Tools on Linux

Use Dynamic Analysis Tools on Linux Use Dynamic Analysis Tools on Linux FTF-SDS-F0407 Gene Fortanely Freescale Software Engineer Catalin Udma A P R. 2 0 1 4 Software Engineer, Digital Networking TM External Use Session Introduction This

More information

MPI Runtime Error Detection with MUST

MPI Runtime Error Detection with MUST MPI Runtime Error Detection with MUST At the 25th VI-HPS Tuning Workshop Joachim Protze IT Center RWTH Aachen University March 2017 How many issues can you spot in this tiny example? #include #include

More information

Programming Scalable Systems with MPI. UvA / SURFsara High Performance Computing and Big Data. Clemens Grelck, University of Amsterdam

Programming Scalable Systems with MPI. UvA / SURFsara High Performance Computing and Big Data. Clemens Grelck, University of Amsterdam Clemens Grelck University of Amsterdam UvA / SURFsara High Performance Computing and Big Data Message Passing as a Programming Paradigm Gentle Introduction to MPI Point-to-point Communication Message Passing

More information

Parallel Programming

Parallel Programming Parallel Programming Point-to-point communication Prof. Paolo Bientinesi pauldj@aices.rwth-aachen.de WS 18/19 Scenario Process P i owns matrix A i, with i = 0,..., p 1. Objective { Even(i) : compute Ti

More information

Document Classification Problem

Document Classification Problem Document Classification Problem Search directories, subdirectories for documents (look for.html,.txt,.tex, etc.) Using a dictionary of key words, create a profile vector for each document Store profile

More information

Point-to-Point Communication. Reference:

Point-to-Point Communication. Reference: Point-to-Point Communication Reference: http://foxtrot.ncsa.uiuc.edu:8900/public/mpi/ Introduction Point-to-point communication is the fundamental communication facility provided by the MPI library. Point-to-point

More information

CSE 613: Parallel Programming. Lecture 21 ( The Message Passing Interface )

CSE 613: Parallel Programming. Lecture 21 ( The Message Passing Interface ) CSE 613: Parallel Programming Lecture 21 ( The Message Passing Interface ) Jesmin Jahan Tithi Department of Computer Science SUNY Stony Brook Fall 2013 ( Slides from Rezaul A. Chowdhury ) Principles of

More information

CS 470 Spring Mike Lam, Professor. Distributed Programming & MPI

CS 470 Spring Mike Lam, Professor. Distributed Programming & MPI CS 470 Spring 2017 Mike Lam, Professor Distributed Programming & MPI MPI paradigm Single program, multiple data (SPMD) One program, multiple processes (ranks) Processes communicate via messages An MPI

More information

Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Chapter 9

Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Chapter 9 Chapter 9 Document Classification Document Classification Problem Search directories, subdirectories for documents (look for.html,.txt,.tex, etc.) Using a dictionary of key words, create a profile vector

More information

Message Passing Interface

Message Passing Interface MPSoC Architectures MPI Alberto Bosio, Associate Professor UM Microelectronic Departement bosio@lirmm.fr Message Passing Interface API for distributed-memory programming parallel code that runs across

More information

CSCI-1200 Data Structures Spring 2016 Lecture 6 Pointers & Dynamic Memory

CSCI-1200 Data Structures Spring 2016 Lecture 6 Pointers & Dynamic Memory Announcements CSCI-1200 Data Structures Spring 2016 Lecture 6 Pointers & Dynamic Memory There will be no lecture on Tuesday, Feb. 16. Prof. Thompson s office hours are canceled for Monday, Feb. 15. Prof.

More information

CS 470 Spring Mike Lam, Professor. Distributed Programming & MPI

CS 470 Spring Mike Lam, Professor. Distributed Programming & MPI CS 470 Spring 2018 Mike Lam, Professor Distributed Programming & MPI MPI paradigm Single program, multiple data (SPMD) One program, multiple processes (ranks) Processes communicate via messages An MPI

More information

valgrind overview: runtime memory checker and a bit more What can we do with it?

valgrind overview: runtime memory checker and a bit more What can we do with it? Valgrind overview: Runtime memory checker and a bit more... What can we do with it? MLUG Mar 30, 2013 The problem When do we start thinking of weird bug in a program? The problem When do we start thinking

More information

Document Classification

Document Classification Document Classification Introduction Search engine on web Search directories, subdirectories for documents Search for documents with extensions.html,.txt, and.tex Using a dictionary of key words, create

More information

Parallel Programming. Functional Decomposition (Document Classification)

Parallel Programming. Functional Decomposition (Document Classification) Parallel Programming Functional Decomposition (Document Classification) Document Classification Problem Search directories, subdirectories for text documents (look for.html,.txt,.tex, etc.) Using a dictionary

More information

Basic MPI Communications. Basic MPI Communications (cont d)

Basic MPI Communications. Basic MPI Communications (cont d) Basic MPI Communications MPI provides two non-blocking routines: MPI_Isend(buf,cnt,type,dst,tag,comm,reqHandle) buf: source of data to be sent cnt: number of data elements to be sent type: type of each

More information

Message Passing Interface. George Bosilca

Message Passing Interface. George Bosilca Message Passing Interface George Bosilca bosilca@icl.utk.edu Message Passing Interface Standard http://www.mpi-forum.org Current version: 3.1 All parallelism is explicit: the programmer is responsible

More information

High Performance Computing Course Notes Message Passing Programming I

High Performance Computing Course Notes Message Passing Programming I High Performance Computing Course Notes 2008-2009 2009 Message Passing Programming I Message Passing Programming Message Passing is the most widely used parallel programming model Message passing works

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 9 Document Classification Chapter Objectives Complete introduction of MPI functions Show how to implement manager-worker programs

More information

Parallel Short Course. Distributed memory machines

Parallel Short Course. Distributed memory machines Parallel Short Course Message Passing Interface (MPI ) I Introduction and Point-to-point operations Spring 2007 Distributed memory machines local disks Memory Network card 1 Compute node message passing

More information

Intermediate MPI (Message-Passing Interface) 1/11

Intermediate MPI (Message-Passing Interface) 1/11 Intermediate MPI (Message-Passing Interface) 1/11 What happens when a process sends a message? Suppose process 0 wants to send a message to process 1. Three possibilities: Process 0 can stop and wait until

More information

Intermediate MPI (Message-Passing Interface) 1/11

Intermediate MPI (Message-Passing Interface) 1/11 Intermediate MPI (Message-Passing Interface) 1/11 What happens when a process sends a message? Suppose process 0 wants to send a message to process 1. Three possibilities: Process 0 can stop and wait until

More information

MPI Application Development with MARMOT

MPI Application Development with MARMOT MPI Application Development with MARMOT Bettina Krammer University of Stuttgart High-Performance Computing-Center Stuttgart (HLRS) www.hlrs.de Matthias Müller University of Dresden Centre for Information

More information

High Performance Computing

High Performance Computing High Performance Computing Course Notes 2009-2010 2010 Message Passing Programming II 1 Communications Point-to-point communications: involving exact two processes, one sender and one receiver For example,

More information

COMP 322: Fundamentals of Parallel Programming

COMP 322: Fundamentals of Parallel Programming COMP 322: Fundamentals of Parallel Programming https://wiki.rice.edu/confluence/display/parprog/comp322 Lecture 37: Introduction to MPI (contd) Vivek Sarkar Department of Computer Science Rice University

More information

Outline. Communication modes MPI Message Passing Interface Standard. Khoa Coâng Ngheä Thoâng Tin Ñaïi Hoïc Baùch Khoa Tp.HCM

Outline. Communication modes MPI Message Passing Interface Standard. Khoa Coâng Ngheä Thoâng Tin Ñaïi Hoïc Baùch Khoa Tp.HCM THOAI NAM Outline Communication modes MPI Message Passing Interface Standard TERMs (1) Blocking If return from the procedure indicates the user is allowed to reuse resources specified in the call Non-blocking

More information

MPI versions. MPI History

MPI versions. MPI History MPI versions MPI History Standardization started (1992) MPI-1 completed (1.0) (May 1994) Clarifications (1.1) (June 1995) MPI-2 (started: 1995, finished: 1997) MPI-2 book 1999 MPICH 1.2.4 partial implemention

More information

HPC Parallel Programing Multi-node Computation with MPI - I

HPC Parallel Programing Multi-node Computation with MPI - I HPC Parallel Programing Multi-node Computation with MPI - I Parallelization and Optimization Group TATA Consultancy Services, Sahyadri Park Pune, India TCS all rights reserved April 29, 2013 Copyright

More information

Introduction to the Message Passing Interface (MPI)

Introduction to the Message Passing Interface (MPI) Introduction to the Message Passing Interface (MPI) CPS343 Parallel and High Performance Computing Spring 2018 CPS343 (Parallel and HPC) Introduction to the Message Passing Interface (MPI) Spring 2018

More information

Parallel Programming

Parallel Programming Parallel Programming Prof. Paolo Bientinesi pauldj@aices.rwth-aachen.de WS 16/17 Point-to-point communication Send MPI_Ssend MPI_Send MPI_Isend. MPI_Bsend Receive MPI_Recv MPI_Irecv Paolo Bientinesi MPI

More information

High performance computing. Message Passing Interface

High performance computing. Message Passing Interface High performance computing Message Passing Interface send-receive paradigm sending the message: send (target, id, data) receiving the message: receive (source, id, data) Versatility of the model High efficiency

More information

COSC 6374 Parallel Computation

COSC 6374 Parallel Computation COSC 6374 Parallel Computation Message Passing Interface (MPI ) II Advanced point-to-point operations Spring 2008 Overview Point-to-point taxonomy and available functions What is the status of a message?

More information

Non-Blocking Collectives for MPI

Non-Blocking Collectives for MPI Non-Blocking Collectives for MPI overlap at the highest level Torsten Höfler Open Systems Lab Indiana University Bloomington, IN, USA Institut für Wissenschaftliches Rechnen Technische Universität Dresden

More information

Parallel Programming

Parallel Programming Parallel Programming Prof. Paolo Bientinesi pauldj@aices.rwth-aachen.de WS 17/18 Exercise MPI_Irecv MPI_Wait ==?? MPI_Recv Paolo Bientinesi MPI 2 Exercise MPI_Irecv MPI_Wait ==?? MPI_Recv ==?? MPI_Irecv

More information

Aaron Evans 2004 Nov 15

Aaron Evans 2004 Nov 15 Aaron Evans 2004 Nov 15 Citation Nicholas Nethercote and Julian Seward, Valgrind: A Program Supervision Framework, Electronic Notes in Theoretical Computer Science, Volume 89, Issue 2, October 2003, Pages

More information

Programming with MPI. Pedro Velho

Programming with MPI. Pedro Velho Programming with MPI Pedro Velho Science Research Challenges Some applications require tremendous computing power - Stress the limits of computing power and storage - Who might be interested in those applications?

More information

CSCI-1200 Data Structures Fall 2015 Lecture 6 Pointers & Dynamic Memory

CSCI-1200 Data Structures Fall 2015 Lecture 6 Pointers & Dynamic Memory CSCI-1200 Data Structures Fall 2015 Lecture 6 Pointers & Dynamic Memory Announcements: Test 1 Information Test 1 will be held Monday, September 21st, 2015 from 6-:50pm. Students have been randomly assigned

More information

The Message Passing Interface (MPI) TMA4280 Introduction to Supercomputing

The Message Passing Interface (MPI) TMA4280 Introduction to Supercomputing The Message Passing Interface (MPI) TMA4280 Introduction to Supercomputing NTNU, IMF January 16. 2017 1 Parallelism Decompose the execution into several tasks according to the work to be done: Function/Task

More information

The Valgrind Memory Checker. (i.e., Your best friend.)

The Valgrind Memory Checker. (i.e., Your best friend.) The Valgrind Memory Checker. (i.e., Your best friend.) Dept of Computing Science University of Alberta Small modifications by Stef Nychka, Mar. 2006 5th March 2006 Attribution. Introduction Some of the

More information

Programming with MPI on GridRS. Dr. Márcio Castro e Dr. Pedro Velho

Programming with MPI on GridRS. Dr. Márcio Castro e Dr. Pedro Velho Programming with MPI on GridRS Dr. Márcio Castro e Dr. Pedro Velho Science Research Challenges Some applications require tremendous computing power - Stress the limits of computing power and storage -

More information

Introduction to MPI. May 20, Daniel J. Bodony Department of Aerospace Engineering University of Illinois at Urbana-Champaign

Introduction to MPI. May 20, Daniel J. Bodony Department of Aerospace Engineering University of Illinois at Urbana-Champaign Introduction to MPI May 20, 2013 Daniel J. Bodony Department of Aerospace Engineering University of Illinois at Urbana-Champaign Top500.org PERFORMANCE DEVELOPMENT 1 Eflop/s 162 Pflop/s PROJECTED 100 Pflop/s

More information

TI2725-C, C programming lab, course

TI2725-C, C programming lab, course Valgrind tutorial Valgrind is a tool which can find memory leaks in your programs, such as buffer overflows and bad memory management. This document will show per example how Valgrind responds to buggy

More information

Introduction to MPI. Ricardo Fonseca. https://sites.google.com/view/rafonseca2017/

Introduction to MPI. Ricardo Fonseca. https://sites.google.com/view/rafonseca2017/ Introduction to MPI Ricardo Fonseca https://sites.google.com/view/rafonseca2017/ Outline Distributed Memory Programming (MPI) Message Passing Model Initializing and terminating programs Point to point

More information

DEBUGGING: DYNAMIC PROGRAM ANALYSIS

DEBUGGING: DYNAMIC PROGRAM ANALYSIS DEBUGGING: DYNAMIC PROGRAM ANALYSIS WS 2017/2018 Martina Seidl Institute for Formal Models and Verification System Invariants properties of a program must hold over the entire run: integrity of data no

More information

Introduction to parallel computing concepts and technics

Introduction to parallel computing concepts and technics Introduction to parallel computing concepts and technics Paschalis Korosoglou (support@grid.auth.gr) User and Application Support Unit Scientific Computing Center @ AUTH Overview of Parallel computing

More information

Parallel programming MPI

Parallel programming MPI Parallel programming MPI Distributed memory Each unit has its own memory space If a unit needs data in some other memory space, explicit communication (often through network) is required Point-to-point

More information

A Novel Approach to Explain the Detection of Memory Errors and Execution on Different Application Using Dr Memory.

A Novel Approach to Explain the Detection of Memory Errors and Execution on Different Application Using Dr Memory. A Novel Approach to Explain the Detection of Memory Errors and Execution on Different Application Using Dr Memory. Yashaswini J 1, Tripathi Ashish Ashok 2 1, 2 School of computer science and engineering,

More information

Shared Memory & Message Passing Programming on SCI-Connected Clusters

Shared Memory & Message Passing Programming on SCI-Connected Clusters Shared Memory & Message Passing Programming on SCI-Connected Clusters Joachim Worringen, RWTH Aachen SCI Summer School 2000 Trinitiy College Dublin Agenda How to utilize SCI-Connected Clusters SMI Library

More information

Message Passing Programming. Modes, Tags and Communicators

Message Passing Programming. Modes, Tags and Communicators Message Passing Programming Modes, Tags and Communicators Overview Lecture will cover - explanation of MPI modes (Ssend, Bsend and Send) - meaning and use of message tags - rationale for MPI communicators

More information

Debugging / Profiling

Debugging / Profiling The Center for Astrophysical Thermonuclear Flashes Debugging / Profiling Chris Daley 23 rd June An Advanced Simulation & Computing (ASC) Academic Strategic Alliances Program (ASAP) Center at Motivation

More information

Screencast: Basic Architecture and Tuning

Screencast: Basic Architecture and Tuning Screencast: Basic Architecture and Tuning Jeff Squyres May 2008 May 2008 Screencast: Basic Architecture and Tuning 1 Open MPI Architecture Modular component architecture (MCA) Backbone plugin / component

More information

Introduction to MPI: Part II

Introduction to MPI: Part II Introduction to MPI: Part II Pawel Pomorski, University of Waterloo, SHARCNET ppomorsk@sharcnetca November 25, 2015 Summary of Part I: To write working MPI (Message Passing Interface) parallel programs

More information

MPI and CUDA. Filippo Spiga, HPCS, University of Cambridge.

MPI and CUDA. Filippo Spiga, HPCS, University of Cambridge. MPI and CUDA Filippo Spiga, HPCS, University of Cambridge Outline Basic principle of MPI Mixing MPI and CUDA 1 st example : parallel GPU detect 2 nd example: heat2d CUDA- aware MPI, how

More information

PROGRAMMING WITH MESSAGE PASSING INTERFACE. J. Keller Feb 26, 2018

PROGRAMMING WITH MESSAGE PASSING INTERFACE. J. Keller Feb 26, 2018 PROGRAMMING WITH MESSAGE PASSING INTERFACE J. Keller Feb 26, 2018 Structure Message Passing Programs Basic Operations for Communication Message Passing Interface Standard First Examples Collective Communication

More information

Parallel Programming with MPI and OpenMP

Parallel Programming with MPI and OpenMP Parallel Programming with MPI and OpenMP Michael J. Quinn Chapter 6 Floyd s Algorithm Chapter Objectives Creating 2-D arrays Thinking about grain size Introducing point-to-point communications Reading

More information

Non-Blocking Communications

Non-Blocking Communications Non-Blocking Communications Deadlock 1 5 2 3 4 Communicator 0 2 Completion The mode of a communication determines when its constituent operations complete. - i.e. synchronous / asynchronous The form of

More information

Practical Introduction to Message-Passing Interface (MPI)

Practical Introduction to Message-Passing Interface (MPI) 1 Practical Introduction to Message-Passing Interface (MPI) October 1st, 2015 By: Pier-Luc St-Onge Partners and Sponsors 2 Setup for the workshop 1. Get a user ID and password paper (provided in class):

More information

Lecture 7: Distributed memory

Lecture 7: Distributed memory Lecture 7: Distributed memory David Bindel 15 Feb 2010 Logistics HW 1 due Wednesday: See wiki for notes on: Bottom-up strategy and debugging Matrix allocation issues Using SSE and alignment comments Timing

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 4 Message-Passing Programming Learning Objectives n Understanding how MPI programs execute n Familiarity with fundamental MPI functions

More information

Discussion: MPI Basic Point to Point Communication I. Table of Contents. Cornell Theory Center

Discussion: MPI Basic Point to Point Communication I. Table of Contents. Cornell Theory Center 1 of 14 11/1/2006 3:58 PM Cornell Theory Center Discussion: MPI Point to Point Communication I This is the in-depth discussion layer of a two-part module. For an explanation of the layers and how to navigate

More information

MPI-Adapter for Portable MPI Computing Environment

MPI-Adapter for Portable MPI Computing Environment MPI-Adapter for Portable MPI Computing Environment Shinji Sumimoto, Kohta Nakashima, Akira Naruse, Kouichi Kumon (Fujitsu Laboratories Ltd.), Takashi Yasui (Hitachi Ltd.), Yoshikazu Kamoshida, Hiroya Matsuba,

More information

Parallel Processing. Parallel Processing. 4 Optimization Techniques WS 2018/19

Parallel Processing. Parallel Processing. 4 Optimization Techniques WS 2018/19 Parallel Processing WS 2018/19 Universität Siegen rolanda.dwismuellera@duni-siegena.de Tel.: 0271/740-4050, Büro: H-B 8404 Stand: September 7, 2018 Betriebssysteme / verteilte Systeme Parallel Processing

More information

CSCI-1200 Data Structures Spring 2013 Lecture 7 Templated Classes & Vector Implementation

CSCI-1200 Data Structures Spring 2013 Lecture 7 Templated Classes & Vector Implementation CSCI-1200 Data Structures Spring 2013 Lecture 7 Templated Classes & Vector Implementation Review from Lectures 5 & 6 Arrays and pointers Different types of memory ( automatic, static, dynamic) Dynamic

More information

ICHEC. Using Valgrind. Using Valgrind :: detecting memory errors. Introduction. Program Compilation TECHNICAL REPORT

ICHEC. Using Valgrind. Using Valgrind :: detecting memory errors. Introduction. Program Compilation TECHNICAL REPORT ICHEC TECHNICAL REPORT Mr. Ivan Girotto ICHEC Computational Scientist Stoney Compute Node Bull Novascale R422-E2 Using Valgrind :: detecting memory errors Valgrind is a suite of command line tools both

More information

Advanced Debugging and the Address Sanitizer

Advanced Debugging and the Address Sanitizer Developer Tools #WWDC15 Advanced Debugging and the Address Sanitizer Finding your undocumented features Session 413 Mike Swingler Xcode UI Infrastructure Anna Zaks LLVM Program Analysis 2015 Apple Inc.

More information

Part - II. Message Passing Interface. Dheeraj Bhardwaj

Part - II. Message Passing Interface. Dheeraj Bhardwaj Part - II Dheeraj Bhardwaj Department of Computer Science & Engineering Indian Institute of Technology, Delhi 110016 India http://www.cse.iitd.ac.in/~dheerajb 1 Outlines Basics of MPI How to compile and

More information

Lesson 1. MPI runs on distributed memory systems, shared memory systems, or hybrid systems.

Lesson 1. MPI runs on distributed memory systems, shared memory systems, or hybrid systems. The goals of this lesson are: understanding the MPI programming model managing the MPI environment handling errors point-to-point communication 1. The MPI Environment Lesson 1 MPI (Message Passing Interface)

More information

Department of Informatics V. HPC-Lab. Session 4: MPI, CG M. Bader, A. Breuer. Alex Breuer

Department of Informatics V. HPC-Lab. Session 4: MPI, CG M. Bader, A. Breuer. Alex Breuer HPC-Lab Session 4: MPI, CG M. Bader, A. Breuer Meetings Date Schedule 10/13/14 Kickoff 10/20/14 Q&A 10/27/14 Presentation 1 11/03/14 H. Bast, Intel 11/10/14 Presentation 2 12/01/14 Presentation 3 12/08/14

More information

MPI and MPI on ARCHER

MPI and MPI on ARCHER MPI and MPI on ARCHER Reusing this material This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License. http://creativecommons.org/licenses/by-nc-sa/4.0/deed.en_us

More information

Understanding MPI on Cray XC30

Understanding MPI on Cray XC30 Understanding MPI on Cray XC30 MPICH3 and Cray MPT Cray MPI uses MPICH3 distribution from Argonne Provides a good, robust and feature rich MPI Cray provides enhancements on top of this: low level communication

More information

MPI Message Passing Interface

MPI Message Passing Interface MPI Message Passing Interface Portable Parallel Programs Parallel Computing A problem is broken down into tasks, performed by separate workers or processes Processes interact by exchanging information

More information

Non-Blocking Communications

Non-Blocking Communications Non-Blocking Communications Reusing this material This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License. http://creativecommons.org/licenses/by-nc-sa/4.0/deed.en_us

More information

All-Pairs Shortest Paths - Floyd s Algorithm

All-Pairs Shortest Paths - Floyd s Algorithm All-Pairs Shortest Paths - Floyd s Algorithm Parallel and Distributed Computing Department of Computer Science and Engineering (DEI) Instituto Superior Técnico October 31, 2011 CPD (DEI / IST) Parallel

More information

RDMA Read Based Rendezvous Protocol for MPI over InfiniBand: Design Alternatives and Benefits

RDMA Read Based Rendezvous Protocol for MPI over InfiniBand: Design Alternatives and Benefits RDMA Read Based Rendezvous Protocol for MPI over InfiniBand: Design Alternatives and Benefits Sayantan Sur Hyun-Wook Jin Lei Chai D. K. Panda Network Based Computing Lab, The Ohio State University Presentation

More information

Eliminate Memory Errors to Improve Program Stability

Eliminate Memory Errors to Improve Program Stability Introduction INTEL PARALLEL STUDIO XE EVALUATION GUIDE This guide will illustrate how Intel Parallel Studio XE memory checking capabilities can find crucial memory defects early in the development cycle.

More information

Outline. Communication modes MPI Message Passing Interface Standard

Outline. Communication modes MPI Message Passing Interface Standard MPI THOAI NAM Outline Communication modes MPI Message Passing Interface Standard TERMs (1) Blocking If return from the procedure indicates the user is allowed to reuse resources specified in the call Non-blocking

More information

Message Passing Interface - MPI

Message Passing Interface - MPI Message Passing Interface - MPI Parallel and Distributed Computing Department of Computer Science and Engineering (DEI) Instituto Superior Técnico October 24, 2011 Many slides adapted from lectures by

More information

MPI. (message passing, MIMD)

MPI. (message passing, MIMD) MPI (message passing, MIMD) What is MPI? a message-passing library specification extension of C/C++ (and Fortran) message passing for distributed memory parallel programming Features of MPI Point-to-point

More information

Designing High Performance Communication Middleware with Emerging Multi-core Architectures

Designing High Performance Communication Middleware with Emerging Multi-core Architectures Designing High Performance Communication Middleware with Emerging Multi-core Architectures Dhabaleswar K. (DK) Panda Department of Computer Science and Engg. The Ohio State University E-mail: panda@cse.ohio-state.edu

More information

Parallel Applications Design with MPI

Parallel Applications Design with MPI Parallel Applications Design with MPI Killer applications Science Research Challanges Challenging use of computer power and storage Who might be interested in those applications? Simulation and analysis

More information

Screencast: OMPI OpenFabrics Protocols (v1.2 series)

Screencast: OMPI OpenFabrics Protocols (v1.2 series) Screencast: OMPI OpenFabrics Protocols (v1.2 series) Jeff Squyres May 2008 May 2008 Screencast: OMPI OpenFabrics Protocols (v1.2 series) 1 Short Messages For short messages memcpy() into / out of pre-registered

More information

Topics. Lecture 6. Point-to-point Communication. Point-to-point Communication. Broadcast. Basic Point-to-point communication. MPI Programming (III)

Topics. Lecture 6. Point-to-point Communication. Point-to-point Communication. Broadcast. Basic Point-to-point communication. MPI Programming (III) Topics Lecture 6 MPI Programming (III) Point-to-point communication Basic point-to-point communication Non-blocking point-to-point communication Four modes of blocking communication Manager-Worker Programming

More information

Ravindra Babu Ganapathi

Ravindra Babu Ganapathi 14 th ANNUAL WORKSHOP 2018 INTEL OMNI-PATH ARCHITECTURE AND NVIDIA GPU SUPPORT Ravindra Babu Ganapathi Intel Corporation [ April, 2018 ] Intel MPI Open MPI MVAPICH2 IBM Platform MPI SHMEM Intel MPI Open

More information

Prof. Thomas Sterling

Prof. Thomas Sterling High Performance Computing: Concepts, Methods & Means Performance 3 : Measurement Prof. Thomas Sterling Department of Computer Science Louisiana i State t University it February 27 th, 2007 Term Projects

More information

Eliminate Threading Errors to Improve Program Stability

Eliminate Threading Errors to Improve Program Stability Introduction This guide will illustrate how the thread checking capabilities in Intel Parallel Studio XE can be used to find crucial threading defects early in the development cycle. It provides detailed

More information