Getting Started with LLVM Core Libraries
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Free Software an Introduction
Free Software an Introduction By Steve Riddett using Scribus 1.3.3.12 and Ubuntu 8.10 Contents Famous Free Software...................................................... 2 The Difference.................................................................. 3 Stallman and Torvalds.......................................................4 The Meaning of Distro......................................................5 Linux and the Holy Grail.................................................. 6 Frequently Asked Questions............................................. 7 Where to find out more.....................................................8 2 Free Software - an Introduction Famous Free Software Firefox is a web browser similar to Microsoft's Internet Explorer but made the Free software way. The project started in 2003 from the source code of the Netscape browser which had been released when Netscape went bust. In April 2009, Firefox recorded 29% use worldwide (34% in Europe). Firefox is standards compliant and has a system of add-ons which allow innovative new features to be added by the community. OpenOffice.org is an office suite similar to Microsoft Office. It started life as Star Office. Sun Microsystems realised it was cheaper to buy out Star Office than to pay Microsoft for licence fees for MS Office. Sun then released the source code for Star Office under the name OpenOffice.org. OpenOffice.org is mostly compatible with MS Office file formats, which allows users to open .docs and .xls files in Open Office. Microsoft is working on a plug-in for MS Office that allows it to open .odf files. ODF (Open Document Format) is Open Office's default file format. Once this plug-in is complete there will 100% compatiblity between the two office suites. VLC is the VideoLAN Client. It was originally designed to allow you to watch video over the network. -
Red Hat Enterprise Linux 6 Developer Guide
Red Hat Enterprise Linux 6 Developer Guide An introduction to application development tools in Red Hat Enterprise Linux 6 Dave Brolley William Cohen Roland Grunberg Aldy Hernandez Karsten Hopp Jakub Jelinek Developer Guide Jeff Johnston Benjamin Kosnik Aleksander Kurtakov Chris Moller Phil Muldoon Andrew Overholt Charley Wang Kent Sebastian Red Hat Enterprise Linux 6 Developer Guide An introduction to application development tools in Red Hat Enterprise Linux 6 Edition 0 Author Dave Brolley [email protected] Author William Cohen [email protected] Author Roland Grunberg [email protected] Author Aldy Hernandez [email protected] Author Karsten Hopp [email protected] Author Jakub Jelinek [email protected] Author Jeff Johnston [email protected] Author Benjamin Kosnik [email protected] Author Aleksander Kurtakov [email protected] Author Chris Moller [email protected] Author Phil Muldoon [email protected] Author Andrew Overholt [email protected] Author Charley Wang [email protected] Author Kent Sebastian [email protected] Editor Don Domingo [email protected] Editor Jacquelynn East [email protected] Copyright © 2010 Red Hat, Inc. and others. The text of and illustrations in this document are licensed by Red Hat under a Creative Commons Attribution–Share Alike 3.0 Unported license ("CC-BY-SA"). An explanation of CC-BY-SA is available at http://creativecommons.org/licenses/by-sa/3.0/. In accordance with CC-BY-SA, if you distribute this document or an adaptation of it, you must provide the URL for the original version. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. -
Atmospheric Modelling and HPC
Atmospheric Modelling and HPC Graziano Giuliani ICTP – ESP Trieste, 1 October 2015 NWP and Climate Codes ● Legacy code from the '60 : FORTRAN language ● Path and Dynamic Libraries ● Communication Libraries ● I/O format Libraries ● Data analysis tools and the data deluge http://clima-dods.ictp.it/Workshops/smr2761 Materials ● This presentation: – atmospheric_models_and_hpc.pdf ● Codes: – codes.tar.gz ● Download both, uncompress codes: – cp codes.tar.gz /scratch – cd /scratch – tar zxvf codes.tar.gz Legacy code ● Numerical Weather Prediction uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. ● MOST of the NWP and climate codes can push their roots back in the 1960-1970 ● The NWP problem was one of the target problem which led to the Computer Era: the ENIAC was used to create the first weather forecasts via computer in 1950. ● Code grows by ACCRETION FORTRAN and FortranXX ● Fortran Programming Language is a general-purpose, imperative programming language that is especially suited to numeric computation and scientific computing. ● Originally developed by IBM in the 1950s for scientific and engineering applications ● Its standard is controlled by an ISO comitee: the most recent standard, ISO/IEC 1539-1:2010, informally known as Fortran 2008, was approved in September 2010. ● Needs a compiler to translate code into executable Fortran Compilers ● http://fortranwiki.org ● Most of the High Performance Compilers are Commercial, and “SuperComputer” vendors usually provide their HIGH OPTIMIZED version of Fortran Compiler. ● Some part of the Standard are left “COMPILER SPECIFIC”, opening for incompatibility among the binary formats produced by different compilers. The Fortran .mod files ● Fortran 90 introduced into the language the modules: module my_mod contains subroutine mysub(a,b) real , intent(in) :: a real , intent(out) :: b end subroutine mysub end module my_mod ● The compiler creates the object file and a .mod file compiling the above code. -
Clangjit: Enhancing C++ with Just-In-Time Compilation
ClangJIT: Enhancing C++ with Just-in-Time Compilation Hal Finkel David Poliakoff David F. Richards Lead, Compiler Technology and Lawrence Livermore National Lawrence Livermore National Programming Languages Laboratory Laboratory Leadership Computing Facility Livermore, CA, USA Livermore, CA, USA Argonne National Laboratory [email protected] [email protected] Lemont, IL, USA [email protected] ABSTRACT body of C++ code, but critically, defer the generation and optimiza- The C++ programming language is not only a keystone of the tion of template specializations until runtime using a relatively- high-performance-computing ecosystem but has proven to be a natural extension to the core C++ programming language. successful base for portable parallel-programming frameworks. As A significant design requirement for ClangJIT is that the runtime- is well known, C++ programmers use templates to specialize al- compilation process not explicitly access the file system - only gorithms, thus allowing the compiler to generate highly-efficient loading data from the running binary is permitted - which allows code for specific parameters, data structures, and so on. This capa- for deployment within environments where file-system access is bility has been limited to those specializations that can be identi- either unavailable or prohibitively expensive. In addition, this re- fied when the application is compiled, and in many critical cases, quirement maintains the redistributibility of the binaries using the compiling all potentially-relevant specializations is not practical. JIT-compilation features (i.e., they can run on systems where the ClangJIT provides a well-integrated C++ language extension allow- source code is unavailable). For example, on large HPC deploy- ing template-based specialization to occur during program execu- ments, especially on supercomputers with distributed file systems, tion. -
CCPP Technical Documentation Release V3.0.0
CCPP Technical Documentation Release v3.0.0 J. Schramm, L. Bernardet, L. Carson, G. Firl, D. Heinzeller, L. Pan, and M. Zhang Jun 17, 2019 For referencing this document please use: Schramm, J., L. Bernardet, L. Carson, G. Firl, D. Heinzeller, L. Pan, and M. Zhang, 2019. CCPP Technical Documentation Release v3.0.0. 91pp. Available at https://dtcenter.org/GMTB/v3.0/ccpp_tech_guide.pdf. CONTENTS 1 CCPP Overview 1 1.1 How to Use this Document........................................4 2 CCPP-Compliant Physics Parameterizations7 2.1 General Rules..............................................8 2.2 Input/output Variable (argument) Rules.................................9 2.3 Coding Rules............................................... 10 2.4 Parallel Programming Rules....................................... 11 2.5 Scientific Documentation Rules..................................... 12 2.5.1 Doxygen Comments and Commands.............................. 12 2.5.2 Doxygen Documentation Style................................. 13 2.5.3 Doxygen Configuration..................................... 18 2.5.4 Using Doxygen......................................... 20 3 CCPP Configuration and Build Options 23 4 Constructing Suites 27 4.1 Suite Definition File........................................... 27 4.1.1 Groups............................................. 27 4.1.2 Subcycling........................................... 27 4.1.3 Order of Schemes........................................ 28 4.2 Interstitial Schemes........................................... 28 4.3 SDF Examples............................................. -
Challenges in Debugging Dynamically Compiled Languages As Exemplified by C# Debugger for Tizen
Samsung R&D Institute Russia Center of System Software Challenges in debugging dynamically compiled languages as exemplified by C# debugger for Tizen Dmitri Botcharnikov 1 Agenda Dynamically compiled languages Tizen .NET Debugging Challenges Tizen .NET Debugger internals Future plans 2 Dynamically compiled languages Dynamically (Just-In-Time) compiled languages VM manages low-level details: memory allocation, exception handling But for debuggers… 3 Tizen .NET Visual Studio Tools for Tizen preview were released C# was added to Tizen Over 1,400,000 C# developers worldwide Tizen running on 50 millions Samsung devices (TV, wearables, mobile, IoT) http://developer.tizen.org 4 Technologies Tizen OS (emulator, platform-specific APIs) Xamarin.Forms .NET Core (CoreCLR, CoreFX, Roslyn) Visual Studio 2015 (Windows) 5 C# Compilation & Execution C# source MSIL Output CLR Roslyn JIT Language-specific compiler: C# => MSIL CLR JIT compiler: MSIL => native code 6 Debugging Challenges Source code to native code mapping ◦ C# compiler generates debugging information for source code to MSIL mapping Stepping in and over ◦ Stepping into not yet compiled code ◦ Managed exception handlers ◦ Lambdas, closures & iterators Local variables & arguments inspection ◦ C# compiler generates debugging information for MSIL variables 7 LLDB Subproject of LLVM (http://lldb.llvm.org) Native debugger builds on LLVM and Clang libraries Supports X86 and ARM architectures 8 SOS debugger plug-in Plug-in for LLDB (libsosplugin.so, libsos.so) Port of SOS.dll -
Overview of LLVM Architecture of LLVM
Overview of LLVM Architecture of LLVM Front-end: high-level programming language => LLVM IR Optimizer: optimize/analyze/secure the program in the IR form Back-end: LLVM IR => machine code Optimizer The optimizer’s job: analyze/optimize/secure programs. Optimizations are implemented as passes that traverse some portion of a program to either collect information or transform the program. A pass is an operation on a unit of IR code. Pass is an important concept in LLVM. LLVM IR - A low-level strongly-typed language-independent, SSA-based representation. - Tailored for static analyses and optimization purposes. Part 1 Part 1 has two kinds of passes: - Analysis pass (section 1): only analyze code statically - Transformation pass (section 2 & 3): insert code into the program Analysis pass (Section 1) Void foo (uint32_t int, uint32_t * p) { LLVM IR ... Clang opt } test.c test.bc stderr mypass.so Transformation pass (Section 2 & 3) mypass.so Void foo (uint32_t int, uint32_t * p) { ... LLVM IR opt LLVM IR } test.cpp Int main () { test.bc test-ins.bc ... Clang++ foo () ... LLVM IR } Clang++ main.cpp main.bc LLVM IR lib.cpp Executable lib.bc Section 1 Challenges: - How to traverse instructions in a function http://releases.llvm.org/3.9.1/docs/ProgrammersManual.html#iterating-over-the-instruction-in-a-function - How to print to stderr Section 2 & 3 Challenges: 1. How to traverse basic blocks in a function and instructions in a basic block 2. How to insert function calls to the runtime library a. Add the function signature to the symbol table of the module Section 2 & 3 Challenges: 1. -
LLDB Tutorial: Adding Debugger Support for Your Target LLVM 2016 Tutorial
LLDB Tutorial: Adding debugger support for your target LLVM 2016 tutorial Deepak Panickal Andrzej Warzyński Codeplay Soware @codeplayso March 18, 2016 Outline • LLDB architecture crash course I Overview of LLDB I User scenarios such as breakpoints, stack-walking etc. I Debugging ps • Both generic and specialized architectures are covered I MSP430 lldb debugging, which we have implemented for this tutorial I github.com/codeplaysoftware/lldb-msp430 I ARM architecture is also referred to for the generic cases • Focusing on debugging ELF executables on Linux EuroLLVM 2016 Outline 2 / 54 Overview Part 1: The Basics Part 2: ELF And Architecture Support Part 3: Registers Part 4: Memory and Breakpoints Part 5: Other Key Features Part 6: Debugging Tips Part 7: MSP430 Quick Recap EuroLLVM 2016 Outline 3 / 54 Part 1 The Basics EuroLLVM 2016 Part 1: The Basics 4 / 54 LLDB - Architecture lldb user driver TCP Socket GDB RSP . lldb-server debug API Architecture of LLDB LLDB offers mulple opons: I user drivers: command line, lldb-mi, Python I debug API: ptrace/simulator/runme/actual drivers EuroLLVM 2016 Part 1: The Basics 5 / 54 lldb/lldb-server lldb • Runs on host • Interacts with the user • Understands symbols, DWARF informaon, data formats, etc. • Plugin architecture I ProcessGDBRemote, DynamicLoaderPOSIXDYLD, ABISysV_msp430 are some... lldb-server • Runs on both remote and host, communicates to lldb via RSP over whichever medium is available • Interacts with the hardware/simulator • Deals with binary data and memory addresses • Plugin architecture I ObjectFileELF, ProcessLinux, are some... EuroLLVM 2016 Part 1: The Basics 6 / 54 GDB Remote Serial Protocol • Simple, ASCII message based protocol • Designed for debugging remote targets • Originally developed for gdb<->gdbserver communicaon • Extended for LLDB, see lldb-gdb-remote.txt Packet structure: checksum $. -
Frogpond 37.1 • Winter 2014 (Pdf)
F ROGPOND T HE JOURNAL OF THE HAIKU SOCIETY OF AMERICA V OLUME 37:1 W INTER 2014 About HSA & Frogpond Subscription / HSA Membership: For adults in the USA, $35; in Canada/Mexico, $37; for seniors and students in North America, $30; for everyone elsewhere, $47. Pay by check on a USA bank or by International Postal Money Order. All subscriptions/memberships are annual, expiring on December 31, and include three issues of Frogpond as well as three newsletters, the members’ anthology, and voting rights. All correspondence regarding new and renewed memberships, changes of address, and requests for information should be directed to the HSA secretary (see the list of RI¿FHUVS). Make checks and money orders payable to Haiku Society of America, Inc. Single Copies of Back Issues: For USA & Canada, $14; for elsewhere, $15 by surface and $20 by airmail. Older issues might cost more, depending on how many are OHIW3OHDVHLQTXLUH¿UVW0DNHFKHFNVSD\DEOHWR+DLNX6RFLHW\RI America, Inc. Send single copy and back issue orders to the Frogpond editor (see p. 3). Contributor Copyright and Acknowledgments: All prior copyrights are retained by contributors. Full rights revert to contributors upon publication in Frogpond. Neither the Haiku 6RFLHW\RI$PHULFDLWVRI¿FHUVQRUWKHHGLWRUDVVXPHUHVSRQVLELOLW\ IRUYLHZVRIFRQWULEXWRUV LQFOXGLQJLWVRZQRI¿FHUV ZKRVHZRUNLV printed in Frogpond, research errors, infringement of copyrights, or failure to make proper acknowledgments. Frogpond Listing and Copyright Information: ISSN 8755-156X Listed in the MLA International Bibliography, Humanities Interna- tional Complete, Poets and Writers. © 2014 by the Haiku Society of America, Inc. Francine Banwarth, Editor Michele Root-Bernstein, Associate Editor Cover Design and Photos: Christopher Patchel. -
Software Process Versus Design Quality: Tug of War? > Architecture Haiku > Designing Resource-Aware Cloud Applications
> Software Process versus Design Quality: Tug of War? > Architecture Haiku > Designing Resource-Aware Cloud Applications AUGUST 2015 www.computer.org IEEE COMPUTER SOCIETY http://computer.org • +1 714 821 8380 STAFF Editor Manager, Editorial Services Content Development Lee Garber Richard Park Senior Manager, Editorial Services Contributing Editors Robin Baldwin Christine Anthony, Brian Brannon, Carrie Clark Walsh, Brian Kirk, Chris Nelson, Meghan O’Dell, Dennis Taylor, Bonnie Wylie Director, Products and Services Evan Butterfield Production & Design Carmen Flores-Garvey, Monette Velasco, Jennie Zhu-Mai, Senior Advertising Coordinator Mark Bartosik Debbie Sims Circulation: ComputingEdge is published monthly by the IEEE Computer Society. IEEE Headquarters, Three Park Avenue, 17th Floor, New York, NY 10016-5997; IEEE Computer Society Publications Office, 10662 Los Vaqueros Circle, Los Alamitos, CA 90720; voice +1 714 821 8380; fax +1 714 821 4010; IEEE Computer Society Headquarters, 2001 L Street NW, Suite 700, Washington, DC 20036. Postmaster: Send undelivered copies and address changes to IEEE Membership Processing Dept., 445 Hoes Lane, Piscataway, NJ 08855. Application to Mail at Periodicals Postage Prices is pending at New York, New York, and at additional mailing offices. Canadian GST #125634188. Canada Post Corporation (Canadian distribution) publications mail agreement number 40013885. Return undeliverable Canadian addresses to PO Box 122, Niagara Falls, ON L2E 6S8 Canada. Printed in USA. Editorial: Unless otherwise stated, bylined articles, as well as product and service descriptions, reflect the author’s or firm’s opinion. Inclusion in ComputingEdge does not necessarily constitute endorsement by the IEEE or the Computer Society. All submissions are subject to editing for style, clarity, and space. -
Nateguyver Breakpoints LLDB Debug Toolchain More
��������������������������� ��������������������������� �������� ����������������������������������������������������������������������������������� ���������������������������������������������������������������������������������������������� ������������������������������������������������������������������������������������������� ������������������������������� ��������������������������������������������������������������������������������������� ����������������������������������������������������������������������� �������������������������������������������������������������������������������������� �������������������������������������������� ◼ Breakpoints & watchpoints ◼ Xcode's graphical debugger ◼ LLDB �������������� “ ������������������������������������������������������������������������������������ ��������������������������� ”������������������ ���������������������������� ◼ Assertions, Logging, and Debug configuration ◼ Static analysis & runtime memory tools ◼ Unit testing in xcode ���������������� ◼ Emphasis on LLDB as our debugging foundation ◼ Tips and tricks to stramline your the debuggin experience ◼ Use LLDB as an extensible investigative tool “�������������”������������ “��’���������������������������������������������������’���������������������’�������������� ��������’����������������������������������� ”������������������ ��������������������������������������������������� ���������������������������������������������������������������������������������� ���������������������������������������������������������������������������� -
Compiling a Higher-Order Smart Contract Language to LLVM
Compiling a Higher-Order Smart Contract Language to LLVM Vaivaswatha Nagaraj Jacob Johannsen Anton Trunov Zilliqa Research Zilliqa Research Zilliqa Research [email protected] [email protected] [email protected] George Pîrlea Amrit Kumar Ilya Sergey Zilliqa Research Zilliqa Research Yale-NUS College [email protected] [email protected] National University of Singapore [email protected] Abstract +----------------------+ Scilla is a higher-order polymorphic typed intermediate | Blockchain Smart | | Contract Module | level language for implementing smart contracts. In this talk, | in C++ (BC) | +----------------------+ we describe a Scilla compiler targeting LLVM, with a focus + state variable | + ^ on mapping Scilla types, values, and its functional language foo.scilla | | | & message | fetch| | constructs to LLVM-IR. | | |update v v | The compiled LLVM-IR, when executed with LLVM’s JIT +--------------------------------------+---------------------------------+ framework, achieves a speedup of about 10x over the refer- | | | +-------------+ +----------------+ | ence interpreter on a typical Scilla contract. This reduced | +-----------------> |JIT Driver | +--> | Scilla Run-time| | | | |in C++ (JITD)| | Library in C++ | | latency is crucial in the setting of blockchains, where smart | | +-+-------+---+ | (SRTL) | | | | | ^ +----------------+ | contracts are executed as parts of transactions, to achieve | | | | | | | foo.scilla| | | peak transactions processed per second. Experiments on the | | | foo.ll| | | | | | | Ackermann