Introduction. Reading. Today MPI & OpenMP papers Tuesday Commutativity Analysis & HPF. CMSC 818Z - S99 (lect 5)



Similar documents
Parallelization: Binary Tree Traversal

LOAD BALANCING DISTRIBUTED OPERATING SYSTEMS, SCALABILITY, SS Hermann Härtig

WinBioinfTools: Bioinformatics Tools for Windows Cluster. Done By: Hisham Adel Mohamed

Hybrid Programming with MPI and OpenMP

High performance computing systems. Lab 1

Parallel Programming with MPI on the Odyssey Cluster

P1 P2 P3. Home (p) 1. Diff (p) 2. Invalidation (p) 3. Page Request (p) 4. Page Response (p)

Debugging with TotalView

MUSIC Multi-Simulation Coordinator. Users Manual. Örjan Ekeberg and Mikael Djurfeldt

Lightning Introduction to MPI Programming

Channel Access Client Programming. Andrew Johnson Computer Scientist, AES-SSG

Parallel Computing. Parallel shared memory computing with OpenMP

Introduction to Hybrid Programming

Middleware. Peter Marwedel TU Dortmund, Informatik 12 Germany. technische universität dortmund. fakultät für informatik informatik 12

What is Multi Core Architecture?

Lecture 6: Introduction to MPI programming. Lecture 6: Introduction to MPI programming p. 1

GPI Global Address Space Programming Interface

Session 2: MUST. Correctness Checking

SWARM: A Parallel Programming Framework for Multicore Processors. David A. Bader, Varun N. Kanade and Kamesh Madduri

COMP/CS 605: Introduction to Parallel Computing Lecture 21: Shared Memory Programming with OpenMP

Overview. Lecture 1: an introduction to CUDA. Hardware view. Hardware view. hardware view software view CUDA programming

Load Balancing. computing a file with grayscales. granularity considerations static work load assignment with MPI

Intro to GPU computing. Spring 2015 Mark Silberstein, , Technion 1

University of Amsterdam - SURFsara. High Performance Computing and Big Data Course

Implementing MPI-IO Shared File Pointers without File System Support

22S:295 Seminar in Applied Statistics High Performance Computing in Statistics

Overlapping Data Transfer With Application Execution on Clusters

Tutorial on Parallel Programming with Linda

Making Multicore Work and Measuring its Benefits. Markus Levy, president EEMBC and Multicore Association

MPI-Checker Static Analysis for MPI

Simplest Scalable Architecture

Parallel Ray Tracing using MPI: A Dynamic Load-balancing Approach

Exploiting Transparent Remote Memory Access for Non-Contiguous- and One-Sided-Communication

A Comparison Of Shared Memory Parallel Programming Models. Jace A Mogill David Haglin

Parallel Computing. Shared memory parallel programming with OpenMP

COSC 6374 Parallel Computation. Parallel I/O (I) I/O basics. Concept of a clusters

Load Imbalance Analysis

Designing and Building Applications for Extreme Scale Systems CS598 William Gropp

In-situ Visualization

EXPLOITING SHARED MEMORY TO IMPROVE PARALLEL I/O PERFORMANCE

Network Programming. Writing network and internet applications.

Efficient Parallel Execution of Sequence Similarity Analysis Via Dynamic Load Balancing

COSC 6397 Big Data Analytics. Distributed File Systems (II) Edgar Gabriel Spring HDFS Basics

LS-DYNA Scalability on Cray Supercomputers. Tin-Ting Zhu, Cray Inc. Jason Wang, Livermore Software Technology Corp.

To connect to the cluster, simply use a SSH or SFTP client to connect to:

Preserving Message Integrity in Dynamic Process Migration

Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi

EView/400i Management Pack for Systems Center Operations Manager (SCOM)

Contributions to Gang Scheduling

COSC 6374 Parallel Computation. Parallel I/O (I) I/O basics. Concept of a clusters

McMPI. Managed-code MPI library in Pure C# Dr D Holmes, EPCC dholmes@epcc.ed.ac.uk

Shared Address Space Computing: Programming

URI and UUID. Identifying things on the Web.

COLO: COarse-grain LOck-stepping Virtual Machine for Non-stop Service. Eddie Dong, Tao Hong, Xiaowei Yang

Mizan: A System for Dynamic Load Balancing in Large-scale Graph Processing

Performance Monitoring of Parallel Scientific Applications

Chapter 7 Load Balancing and Termination Detection

An Incomplete C++ Primer. University of Wyoming MA 5310

Parallel Processing over Mobile Ad Hoc Networks of Handheld Machines

Kommunikation in HPC-Clustern

Agenda. Distributed System Structures. Why Distributed Systems? Motivation

Introduction to Cloud Computing

Multi-Threading Performance on Commodity Multi-Core Processors

An API for Reading the MySQL Binary Log

Myrinet Express (MX): A High-Performance, Low-Level, Message-Passing Interface for Myrinet. Version 1.0 July 01, 2005

Tail call elimination. Michel Schinz

From Control Loops to Software

HPCC - Hrothgar Getting Started User Guide MPI Programming

Computer Network. Interconnected collection of autonomous computers that are able to exchange information

B) Using Processor-Cache Affinity Information in Shared Memory Multiprocessor Scheduling

Retour vers le futur des bibliothèques de squelettes algorithmiques et DSL

Analysis and Implementation of Cluster Computing Using Linux Operating System

Simplest Scalable Architecture

Textbook: T. Issariyakul and E. Hossain, Introduction to Network Simulator NS2, Springer

The Double-layer Master-Slave Model : A Hybrid Approach to Parallel Programming for Multicore Clusters

Charm++, what s that?!

A Performance Study of Load Balancing Strategies for Approximate String Matching on an MPI Heterogeneous System Environment

Petascale Software Challenges. William Gropp

Parallel Databases. Parallel Architectures. Parallelism Terminology 1/4/2015. Increase performance by performing operations in parallel

How To Monitor Performance On A Microsoft Powerbook (Powerbook) On A Network (Powerbus) On An Uniden (Powergen) With A Microsatellite) On The Microsonde (Powerstation) On Your Computer (Power

Embedded Systems. Review of ANSI C Topics. A Review of ANSI C and Considerations for Embedded C Programming. Basic features of C

Comp151. Definitions & Declarations

Efficiency of Web Based SAX XML Distributed Processing

SAN Conceptual and Design Basics

MOSIX: High performance Linux farm

MPI Application Development Using the Analysis Tool MARMOT

Linux tools for debugging and profiling MPI codes

CSC230 Getting Starting in C. Tyler Bletsch

Detecting the Presence of Virtual Machines Using the Local Data Table

Chapter 11: Input/Output Organisation. Lesson 06: Programmed IO

MPI Runtime Error Detection with MUST For the 13th VI-HPS Tuning Workshop

Software Vulnerabilities

Real Time Fraud Detection With Sequence Mining on Big Data Platform. Pranab Ghosh Big Data Consultant IEEE CNSV meeting, May Santa Clara, CA

Transcription:

Introduction Reading Today MPI & OpenMP papers Tuesday Commutativity Analysis & HPF 1

Programming Assignment Notes Assume that memory is limited don t replicate the board on all nodes Need to provide load balancing goal is to speed computation must trade off communication costs of load balancing computation costs of making choices benefit of having similar amounts of work for each processor Consider back of the envelop calculations how fast can pvm move data? what is the update time for local cells? how big does the board need to be to see speedups? 2

PVM Group Operations Group is the unit of communication a collection of one or more processes processes join group with pvm_joingroup( <group name> ) each process in the group has a unique id Barrier pvm_gettid( <group name> ) can involve a subset of the processes in the group pvm_barrier( <group name>, count) Reduction Operations pvm_reduce( void (*func)(), void *data, int count, int datatype, int msgtag, char *group, int rootinst) result is returned to rootinst node does not block pre-defined funcs: PvmMin, PvmMax,PvmSum,PvmProduct 3

PVM Performance Issues Messages have to go through PVMD can use direct route option to prevent this problem Packing messages semantics imply a copy extra function call to pack messages Heterogenous Support information is sent in machine independent format has a short circuit option for known homogenous comm. passes data in native format then 4

int main(int argc, char **argv) { int mygroupnum; int friendtid; int mytid; int tids[2]; int message[messagesize]; int c,i,okspawn; Sample PVM Program /* Initialize process and spawn if necessary */ mygroupnum=pvm_joingroup("ping-pong"); mytid=pvm_mytid(); if (mygroupnum==0) { /* I am the first process */ pvm_catchout(stdout); okspawn=pvm_spawn(myname,argv,0,"",1,&friendtid); if (okspawn!=1) { printf("can't spawn a copy of myself!\n"); pvm_exit(); exit(1); tids[0]=mytid; tids[1]=friendtid; else { /*I am the second process */ friendtid=pvm_parent(); tids[0]=friendtid; tids[1]=mytid; pvm_barrier("ping-pong",2); /* Main Loop Body */ if (mygroupnum==0) { /* Initialize the message */ for (i=0 ; i<messagesize ; i++) { message[i]='1'; else { /* Now start passing the message back and forth */ for (i=0 ; i<iterations ; i++) { pvm_initsend(pvmdatadefault); pvm_pkint(message,messagesize,1); pvm_send(tid,msgid); pvm_exit(); exit(0); pvm_recv(tid,msgid); pvm_upkint(message,messagesize,1); pvm_recv(tid,msgid); pvm_upkint(message,messagesize,1); pvm_initsend(pvmdatadefault); pvm_pkint(message,messagesize,1); pvm_send(tid,msgid); 5

MPI Goals: Standardize previous message passing: PVM, P4, NX Support copy free message passing Portable to many platforms Features: point-to-point messaging group communications profiling interface: every function has a name shifted version Buffering no guarantee that there are buffers possible that send will block until receive is called Delivery Order two sends from same process to same dest. will arrive in order no guarantee of fairness between processes on recv. 6

MPI Communicators Provide a named set of processes for communication All processes within a communicator can be named numbered from 0 n-1 Allows libraries to be constructed application creates communicators library uses it prevents problems with posting wildcard receives adds a communicator scope to each receive All programs start will MPI_COMM_WORLD 7

Non-Blocking Functions Two Parts post the operation wait for results Also includes a poll option checks if the operation has finished Semantics must not alter buffer while operation is pending 8

MPI Misc. MPI Types All messages are typed base types are pre-defined: int, double, real, {,unsigned{short, char, long can construct user defined types includes non-contiguous data types Processor Topologies Allows construction of Cartesian & arbitrary graphs May allow some systems to run faster What s not in MPI-1 process creation I/O one sided communication 9