A Source-To-Source Openacc Compiler for CUDA
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PRE PROCESSOR DIRECTIVES in –C LANGUAGE. 2401 – Course
PRE PROCESSOR DIRECTIVES IN –C LANGUAGE. 2401 – Course Notes. 1 The C preprocessor is a macro processor that is used automatically by the C compiler to transform programmer defined programs before actual compilation takes place. It is called a macro processor because it allows the user to define macros, which are short abbreviations for longer constructs. This functionality allows for some very useful and practical tools to design our programs. To include header files(Header files are files with pre defined function definitions, user defined data types, declarations that can be included.) To include macro expansions. We can take random fragments of C code and abbreviate them into smaller definitions namely macros, and once they are defined and included via header files or directly onto the program itself it(the user defined definition) can be used everywhere in the program. In other words it works like a blank tile in the game scrabble, where if one player possesses a blank tile and uses it to state a particular letter for a given word he chose to play then that blank piece is used as that letter throughout the game. It is pretty similar to that rule. Special pre processing directives can be used to, include or exclude parts of the program according to various conditions. To sum up, preprocessing directives occurs before program compilation. So, it can be also be referred to as pre compiled fragments of code. Some possible actions are the inclusions of other files in the file being compiled, definitions of symbolic constants and macros and conditional compilation of program code and conditional execution of preprocessor directives. -
C and C++ Preprocessor Directives #Include #Define Macros Inline
MODULE 10 PREPROCESSOR DIRECTIVES My Training Period: hours Abilities ▪ Able to understand and use #include. ▪ Able to understand and use #define. ▪ Able to understand and use macros and inline functions. ▪ Able to understand and use the conditional compilation – #if, #endif, #ifdef, #else, #ifndef and #undef. ▪ Able to understand and use #error, #pragma, # and ## operators and #line. ▪ Able to display error messages during conditional compilation. ▪ Able to understand and use assertions. 10.1 Introduction - For C/C++ preprocessor, preprocessing occurs before a program is compiled. A complete process involved during the preprocessing, compiling and linking can be read in Module W. - Some possible actions are: ▪ Inclusion of other files in the file being compiled. ▪ Definition of symbolic constants and macros. ▪ Conditional compilation of program code or code segment. ▪ Conditional execution of preprocessor directives. - All preprocessor directives begin with #, and only white space characters may appear before a preprocessor directive on a line. 10.2 The #include Preprocessor Directive - The #include directive causes copy of a specified file to be included in place of the directive. The two forms of the #include directive are: //searches for header files and replaces this directive //with the entire contents of the header file here #include <header_file> - Or #include "header_file" e.g. #include <stdio.h> #include "myheader.h" - If the file name is enclosed in double quotes, the preprocessor searches in the same directory (local) as the source file being compiled for the file to be included, if not found then looks in the subdirectory associated with standard header files as specified using angle bracket. - This method is normally used to include user or programmer-defined header files. -
Section “Common Predefined Macros” in the C Preprocessor
The C Preprocessor For gcc version 12.0.0 (pre-release) (GCC) Richard M. Stallman, Zachary Weinberg Copyright c 1987-2021 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation. A copy of the license is included in the section entitled \GNU Free Documentation License". This manual contains no Invariant Sections. The Front-Cover Texts are (a) (see below), and the Back-Cover Texts are (b) (see below). (a) The FSF's Front-Cover Text is: A GNU Manual (b) The FSF's Back-Cover Text is: You have freedom to copy and modify this GNU Manual, like GNU software. Copies published by the Free Software Foundation raise funds for GNU development. i Table of Contents 1 Overview :::::::::::::::::::::::::::::::::::::::: 1 1.1 Character sets:::::::::::::::::::::::::::::::::::::::::::::::::: 1 1.2 Initial processing ::::::::::::::::::::::::::::::::::::::::::::::: 2 1.3 Tokenization ::::::::::::::::::::::::::::::::::::::::::::::::::: 4 1.4 The preprocessing language :::::::::::::::::::::::::::::::::::: 6 2 Header Files::::::::::::::::::::::::::::::::::::: 7 2.1 Include Syntax ::::::::::::::::::::::::::::::::::::::::::::::::: 7 2.2 Include Operation :::::::::::::::::::::::::::::::::::::::::::::: 8 2.3 Search Path :::::::::::::::::::::::::::::::::::::::::::::::::::: 9 2.4 Once-Only Headers::::::::::::::::::::::::::::::::::::::::::::: 9 2.5 Alternatives to Wrapper #ifndef :::::::::::::::::::::::::::::: -
Pathscale ENZO GTC12 S0631 – Programming Heterogeneous Many-Cores Using Directives C
PathScale ENZO GTC12 S0631 – Programming Heterogeneous Many-Cores Using Directives C. Bergström | May 14th, 2012 Brief Introduction to ENZO 2 | PathScale GTC12 S0631 Tutorial | May 14th, 2012 ENZO Overview & Goals Speed transition to GPU & many-core systems • Simplify the task of migrating software written in C, C++ & Fortran • Uses OpenHMPP Standard (easy migration) • CAPS HMPP compatible Performance & HPC focused • Fully exploits NVIDIA GPU features • Generates native instructions optimized for NVIDIA GPU 3 | PathScale GTC12 S0631 Tutorial | May 14th, 2012 Project Schedule & Status 4 | PathScale GTC12 S0631 Tutorial | May 14th, 2012 Project Schedule . ENZO Production release June 2012 – OpenHMPP 2.5 C, C++ and Fortran . Next ENZO Production release October 2012 – More tools and better support for libraries – x8664 OpenHMPP task parallelism (similar to OMP3 tasks) – More optimizations (IPA / CG2 / textures) – OpenHMPP 3.0 – CUDA 4.x – Kepler 5 | PathScale GTC12 S0631 Tutorial | May 14th, 2012 Project Status . OpenHMPP 2.5 – Running CAPS C & Fortran Labs – PathScale written HMPP test suite – Customer code . New C++ compiler – Perennial C++VS and CVSA regression free – Corner case compile time issues – Corner case runtime issues . Ongoing effort – Performance tuning & benchmarking – Compiler robustness – Nightly compiler builds to address issues 6 | PathScale GTC12 S0631 Tutorial | May 14th, 2012 Performance 7 | PathScale GTC12 S0631 Tutorial | May 14th, 2012 Performance . NVIDIA Tesla 2050 - “Lab2” SGEMM – ENZO – /opt/enzo/bin/pathcc -hmpp -
GPU Directives
OPENACC® DIRECTIVES FOR ACCELERATORS NVIDIA GPUs Reaching Broader Set of Developers 1,000,000’s CAE CFD Finance Rendering Universities Data Analytics Supercomputing Centers Life Sciences 100,000’s Oil & Gas Defense Weather Research Climate Early Adopters Plasma Physics 2004 Present Time 2 3 Ways to Accelerate Applications with GPUs Applications Programming Libraries Directives Languages “Drop-in” Quickly Accelerate Maximum Acceleration Existing Applications Performance 3 Directives: Add A Few Lines of Code OpenMP OpenACC CPU CPU GPU main() { main() { double pi = 0.0; long i; double pi = 0.0; long i; #pragma acc parallel #pragma omp parallel for reduction(+:pi) for (i=0; i<N; i++) for (i=0; i<N; i++) { { double t = (double)((i+0.05)/N); double t = (double)((i+0.05)/N); pi += 4.0/(1.0+t*t); pi += 4.0/(1.0+t*t); } } printf(“pi = %f\n”, pi/N); printf(“pi = %f\n”, pi/N); } } OpenACC: Open Programming Standard for Parallel Computing “ OpenACC will enable programmers to easily develop portable applications that maximize the performance and power efficiency benefits of the hybrid CPU/GPU architecture of Titan. ” Buddy Bland Titan Project Director Easy, Fast, Portable Oak Ridge National Lab “ OpenACC is a technically impressive initiative brought together by members of the OpenMP Working Group on Accelerators, as well as many others. We look forward to releasing a version of this proposal in the next release of OpenMP. ” Michael Wong CEO, OpenMP http://www.openacc-standard.org/ Directives Board OpenACC Compiler directives to specify parallel regions -
Locality-Aware Automatic Parallelization for GPGPU with Openhmpp Directives
Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives José M. Andión, Manuel Arenaz, François Bodin, Gabriel Rodríguez and Juan Touriño 7th International Symposium on High-Level Parallel Programming and Applications (HLPP 2014) July 3-4, 2014 — Amsterdam, Netherlands Outline • Motivation: General Purpose Computation with GPUs • GPGPU with CUDA & OpenHMPP • The KIR: an IR for the Detection of Parallelism • Locality-Aware Generation of Efficient GPGPU Code • Case Studies: CONV3D & SGEMM • Performance Evaluation • Conclusions & Future Work J.M. Andión et al. Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives. HLPP 2014. Outline • Motivation: General Purpose Computation with GPUs • GPGPU with CUDA & OpenHMPP • The KIR: an IR for the Detection of Parallelism • Locality-Aware Generation of Efficient GPGPU Code • Case Studies: CONV3D & SGEMM • Performance Evaluation • Conclusions & Future Work J.M. Andión et al. Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives. HLPP 2014. 100,000 Intel Xeon 6 cores, 3.3 GHz (boost to 3.6 GHz) Intel Xeon 4 cores, 3.3 GHz (boost to 3.6 GHz) Intel Core i7 Extreme 4 cores 3.2 GHz (boost to 3.5 GHz) 24,129 Intel Core Duo Extreme 2 cores, 3.0 GHz 21,871 Intel Core 2 Extreme 2 cores, 2.9 GHz 19,484 10,000 AMD Athlon 64, 2.8 GHz 14,387 AMD Athlon, 2.6 GHz 11,865 Intel Xeon EE 3.2 GHz 7,108 Intel D850EMVR motherboard (3.06 GHz, Pentium 4 processor with Hyper-Threading Technology) 6,043 6,681 IBM Power4, 1.3 GHz 4,195 3,016 Intel VC820 motherboard, 1.0 GHz Pentium III processor 1,779 Professional Workstation XP1000, 667 MHz 21264A Digital AlphaServer 8400 6/575, 575 MHz 21264 1,267 1000 993 AlphaServer 4000 5/600, 600 MHz 21164 649 Digital Alphastation 5/500, 500 MHz 481 Digital Alphastation 5/300, 300 MHz 280 22%/year Digital Alphastation 4/266, 266 MHz 183 IBM POWERstation 100, 150 MHz 117 100 Digital 3000 AXP/500, 150 MHz 80 HP 9000/750, 66 MHz 51 IBM RS6000/540, 30 MHz 24 52%/year Performance (vs. -
Advanced Perl
Advanced Perl Boston University Information Services & Technology Course Coordinator: Timothy Kohl Last Modified: 05/12/15 Outline • more on functions • references and anonymous variables • local vs. global variables • packages • modules • objects 1 Functions Functions are defined as follows: sub f{ # do something } and invoked within a script by &f(parameter list) or f(parameter list) parameters passed to a function arrive in the array @_ sub print_sum{ my ($a,$b)=@_; my $sum; $sum=$a+$b; print "The sum is $sum\n"; } And so, in the invocation $a = $_[0] = 2 print_sum(2,3); $b = $_[1] = 3 2 The directive my indicates that the variable is lexically scoped. That is, it is defined only for the duration of the given code block between { and } which is usually the body of the function anyway. * When this is done, one is assured that the variables so defined are local to the given function. We'll discuss the difference between local and global variables later. * with some exceptions which we'll discuss To return a value from a function, you can either use an explicit return statement or simply put the value to be returned as the last line of the function. Typically though, it’s better to use the return statement. Ex: sub sum{ my ($a,$b)=@_; my $sum; $sum=$a+$b; return $sum; } $s=sum(2,3); One can also return an array or associative array from a function. 3 References and Anonymous Variables In languages like C one has the notion of a pointer to a given data type, which can be used later on to read and manipulate the contents of the variable pointed to by the pointer. -
How to Write Code That Will Survive
Programming Heterogeneous Many-cores Using Directives HMPP - OpenAcc F. Bodin, CAPS CTO Introduction • Programming many-core systems faces the following dilemma o Achieve "portable" performance • Multiple forms of parallelism cohabiting – Multiple devices (e.g. GPUs) with their own address space – Multiple threads inside a device – Vector/SIMD parallelism inside a thread • Massive parallelism – Tens of thousands of threads needed o The constraint of keeping a unique version of codes, preferably mono- language • Reduces maintenance cost • Preserves code assets • Less sensitive to fast moving hardware targets • Codes last several generations of hardware architecture • For legacy codes, directive-based approach may be an alternative o And may benefit from auto-tuning techniques CC 2012 www.caps-entreprise.com 2 Profile of a Legacy Application • Written in C/C++/Fortran • Mix of user code and while(many){ library calls ... mylib1(A,B); ... • Hotspots may or may not be myuserfunc1(B,A); parallel ... mylib2(A,B); ... • Lifetime in 10s of years myuserfunc2(B,A); ... • Cannot be fully re-written } • Migration can be risky and mandatory CC 2012 www.caps-entreprise.com 3 Overview of the Presentation • Many-core architectures o Definition and forecast o Why usual parallel programming techniques won't work per se • Directive-based programming o OpenACC sets of directives o HMPP directives o Library integration issue • Toward a portable infrastructure for auto-tuning o Current auto-tuning directives in HMPP 3.0 o CodeletFinder for offline auto-tuning o Toward a standard auto-tuning interface CC 2012 www.caps-entreprise.com 4 Many-Core Architectures Heterogeneous Many-Cores • Many general purposes cores coupled with a massively parallel accelerator (HWA) Data/stream/vector CPU and HWA linked with a parallelism to be PCIx bus exploited by HWA e.g. -
Perl
-I<directory> directories specified by –I are Perl prepended to @INC -I<oct_name> enable automatic line-end processing Ming- Hwa Wang, Ph.D. -(m|M)[- executes use <module> before COEN 388 Principles of Computer- Aided Engineering Design ]<module>[=arg{,arg}] executing your script Department of Computer Engineering -n causes Perl to assume a loop around Santa Clara University -p your script -P causes your script through the C Scripting Languages preprocessor before compilation interpreter vs. compiler -s enable switch parsing efficiency concerns -S makes Perl use the PATH environment strong typed vs. type-less variable to search for the script Perl: Practical Extraction and Report Language -T forces taint checks to be turned on so pattern matching capability you can test them -u causes Perl to dump core after Resources compiling your script Unix Perl manpages -U allow Perl to do unsafe operations Usenet newsgroups: comp.lang.perl -v print version Perl homepage: http://www.perl/com/perl/, http://www.perl.org -V print Perl configuration and @INC Download: http://www.perl.com/CPAN/ values -V:<name> print the value of the named To Run Perl Script configuration value run as command: perl –e ‘print “Hello, world!\n”;’ -w print warning for unused variable, run as scripts (with chmod +x): perl <script> using variable without setting the #!/usr/local/bin/perl –w value, undefined functions, references use strict; to undefined filehandle, write to print “Hello, world!\n”; filehandle which is read-only, using a exit 0; non-number as it were a number, or switches subroutine recurse too deep, etc. -
Python Guide Documentation 0.0.1
Python Guide Documentation 0.0.1 Kenneth Reitz 2015 09 13 Contents 1 Getting Started 3 1.1 Picking an Interpreter..........................................3 1.2 Installing Python on Mac OS X.....................................5 1.3 Installing Python on Windows......................................6 1.4 Installing Python on Linux........................................7 2 Writing Great Code 9 2.1 Structuring Your Project.........................................9 2.2 Code Style................................................ 15 2.3 Reading Great Code........................................... 24 2.4 Documentation.............................................. 24 2.5 Testing Your Code............................................ 26 2.6 Common Gotchas............................................ 30 2.7 Choosing a License............................................ 33 3 Scenario Guide 35 3.1 Network Applications.......................................... 35 3.2 Web Applications............................................ 36 3.3 HTML Scraping............................................. 41 3.4 Command Line Applications....................................... 42 3.5 GUI Applications............................................. 43 3.6 Databases................................................. 45 3.7 Networking................................................ 45 3.8 Systems Administration......................................... 46 3.9 Continuous Integration.......................................... 49 3.10 Speed.................................................. -
C Programming Tutorial
C Programming Tutorial C PROGRAMMING TUTORIAL Simply Easy Learning by tutorialspoint.com tutorialspoint.com i COPYRIGHT & DISCLAIMER NOTICE All the content and graphics on this tutorial are the property of tutorialspoint.com. Any content from tutorialspoint.com or this tutorial may not be redistributed or reproduced in any way, shape, or form without the written permission of tutorialspoint.com. Failure to do so is a violation of copyright laws. This tutorial may contain inaccuracies or errors and tutorialspoint provides no guarantee regarding the accuracy of the site or its contents including this tutorial. If you discover that the tutorialspoint.com site or this tutorial content contains some errors, please contact us at [email protected] ii Table of Contents C Language Overview .............................................................. 1 Facts about C ............................................................................................... 1 Why to use C ? ............................................................................................. 2 C Programs .................................................................................................. 2 C Environment Setup ............................................................... 3 Text Editor ................................................................................................... 3 The C Compiler ............................................................................................ 3 Installation on Unix/Linux ............................................................................ -
CAPS Openacc Compiler
CAPS OpenACC Compiler HMPP Workbench 3.2 IDDN.FR.001.490007.000.S.P.2008.000.10600 This information is the property of CAPS entreprise and cannot be used, reproduced or transmitted without authorization. Headquarters – France CAPS – USA CAPS – CHINA Immeuble CAP Nord 4701 Patrick Drive Bldg 12 Suite E2, 30/F 4A Allée Marie Berhaut Santa Clara JuneYao International Plaza 35000 Rennes CA 95054 789, Zhaojiabang Road, France Shanghai 200032 Tel.: +33 (0)2 22 51 16 00 Tel.: +1 408 550 2887 x70 Tel.: +86 21 3363 0057 Fax: +33 (0)2 23 20 16 43 Fax: +86 21 3363 0067 [email protected] [email protected] [email protected] N° d’agrément formation : 53 35 08397 35 Visit our website: http://www.caps-entreprise.com CAPS OpenACC Compiler SUMMARY 1. Introduction 5 1.1. Revisions history .................................................................................................................................... 5 1.2. Introduction ............................................................................................................................................ 6 1.3. What is HMPP Workbench? What is the CAPS OpenACC Compiler? ................................................. 6 1.4. Execution Model .................................................................................................................................... 8 1.5. Memory Model ....................................................................................................................................... 8 2. OpenACC Directives 9 2.1. kernels