Stack Traces in Haskell
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
GHC Reading Guide
GHC Reading Guide - Exploring entrances and mental models to the source code - Takenobu T. Rev. 0.01.1 WIP NOTE: - This is not an official document by the ghc development team. - Please refer to the official documents in detail. - Don't forget “semantics”. It's very important. - This is written for ghc 9.0. Contents Introduction 1. Compiler - Compilation pipeline - Each pipeline stages - Intermediate language syntax - Call graph 2. Runtime system 3. Core libraries Appendix References Introduction Introduction Official resources are here GHC source repository : The GHC Commentary (for developers) : https://gitlab.haskell.org/ghc/ghc https://gitlab.haskell.org/ghc/ghc/-/wikis/commentary GHC Documentation (for users) : * master HEAD https://ghc.gitlab.haskell.org/ghc/doc/ * latest major release https://downloads.haskell.org/~ghc/latest/docs/html/ * version specified https://downloads.haskell.org/~ghc/9.0.1/docs/html/ The User's Guide Core Libraries GHC API Introduction The GHC = Compiler + Runtime System (RTS) + Core Libraries Haskell source (.hs) GHC compiler RuntimeSystem Core Libraries object (.o) (libHsRts.o) (GHC.Base, ...) Linker Executable binary including the RTS (* static link case) Introduction Each division is located in the GHC source tree GHC source repository : https://gitlab.haskell.org/ghc/ghc compiler/ ... compiler sources rts/ ... runtime system sources libraries/ ... core library sources ghc/ ... compiler main includes/ ... include files testsuite/ ... test suites nofib/ ... performance tests mk/ ... build system hadrian/ ... hadrian build system docs/ ... documents : : 1. Compiler 1. Compiler Compilation pipeline 1. compiler The GHC compiler Haskell language GHC compiler Assembly language (native or llvm) 1. compiler GHC compiler comprises pipeline stages GHC compiler Haskell language Parser Renamer Type checker Desugarer Core to Core Core to STG STG to Cmm Assembly language Cmm to Asm (native or llvm) 1. -
Dynamic Extension of Typed Functional Languages
Dynamic Extension of Typed Functional Languages Don Stewart PhD Dissertation School of Computer Science and Engineering University of New South Wales 2010 Supervisor: Assoc. Prof. Manuel M. T. Chakravarty Co-supervisor: Dr. Gabriele Keller Abstract We present a solution to the problem of dynamic extension in statically typed functional languages with type erasure. The presented solution re- tains the benefits of static checking, including type safety, aggressive op- timizations, and native code compilation of components, while allowing extensibility of programs at runtime. Our approach is based on a framework for dynamic extension in a stat- ically typed setting, combining dynamic linking, runtime type checking, first class modules and code hot swapping. We show that this framework is sufficient to allow a broad class of dynamic extension capabilities in any statically typed functional language with type erasure semantics. Uniquely, we employ the full compile-time type system to perform run- time type checking of dynamic components, and emphasize the use of na- tive code extension to ensure that the performance benefits of static typing are retained in a dynamic environment. We also develop the concept of fully dynamic software architectures, where the static core is minimal and all code is hot swappable. Benefits of the approach include hot swappable code and sophisticated application extension via embedded domain specific languages. We instantiate the concepts of the framework via a full implementation in the Haskell programming language: providing rich mechanisms for dy- namic linking, loading, hot swapping, and runtime type checking in Haskell for the first time. We demonstrate the feasibility of this architecture through a number of novel applications: an extensible text editor; a plugin-based network chat bot; a simulator for polymer chemistry; and xmonad, an ex- tensible window manager. -
What I Wish I Knew When Learning Haskell
What I Wish I Knew When Learning Haskell Stephen Diehl 2 Version This is the fifth major draft of this document since 2009. All versions of this text are freely available onmywebsite: 1. HTML Version http://dev.stephendiehl.com/hask/index.html 2. PDF Version http://dev.stephendiehl.com/hask/tutorial.pdf 3. EPUB Version http://dev.stephendiehl.com/hask/tutorial.epub 4. Kindle Version http://dev.stephendiehl.com/hask/tutorial.mobi Pull requests are always accepted for fixes and additional content. The only way this document will stayupto date and accurate through the kindness of readers like you and community patches and pull requests on Github. https://github.com/sdiehl/wiwinwlh Publish Date: March 3, 2020 Git Commit: 77482103ff953a8f189a050c4271919846a56612 Author This text is authored by Stephen Diehl. 1. Web: www.stephendiehl.com 2. Twitter: https://twitter.com/smdiehl 3. Github: https://github.com/sdiehl Special thanks to Erik Aker for copyediting assistance. Copyright © 20092020 Stephen Diehl This code included in the text is dedicated to the public domain. You can copy, modify, distribute and perform thecode, even for commercial purposes, all without asking permission. You may distribute this text in its full form freely, but may not reauthor or sublicense this work. Any reproductions of major portions of the text must include attribution. The software is provided ”as is”, without warranty of any kind, express or implied, including But not limitedtothe warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authorsor copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, Arising from, out of or in connection with the software or the use or other dealings in the software. -
The Glasgow Haskell Compiler User's Guide, Version 4.08
The Glasgow Haskell Compiler User's Guide, Version 4.08 The GHC Team The Glasgow Haskell Compiler User's Guide, Version 4.08 by The GHC Team Table of Contents The Glasgow Haskell Compiler License ........................................................................................... 9 1. Introduction to GHC ....................................................................................................................10 1.1. The (batch) compilation system components.....................................................................10 1.2. What really happens when I “compile” a Haskell program? .............................................11 1.3. Meta-information: Web sites, mailing lists, etc. ................................................................11 1.4. GHC version numbering policy .........................................................................................12 1.5. Release notes for version 4.08 (July 2000) ........................................................................13 1.5.1. User-visible compiler changes...............................................................................13 1.5.2. User-visible library changes ..................................................................................14 1.5.3. Internal changes.....................................................................................................14 2. Installing from binary distributions............................................................................................16 2.1. Installing on Unix-a-likes...................................................................................................16 -
The Glorious Glasgow Haskell Compilation System User's Guide
The Glorious Glasgow Haskell Compilation System User’s Guide, Version 7.8.2 i The Glorious Glasgow Haskell Compilation System User’s Guide, Version 7.8.2 The Glorious Glasgow Haskell Compilation System User’s Guide, Version 7.8.2 ii COLLABORATORS TITLE : The Glorious Glasgow Haskell Compilation System User’s Guide, Version 7.8.2 ACTION NAME DATE SIGNATURE WRITTEN BY The GHC Team April 11, 2014 REVISION HISTORY NUMBER DATE DESCRIPTION NAME The Glorious Glasgow Haskell Compilation System User’s Guide, Version 7.8.2 iii Contents 1 Introduction to GHC 1 1.1 Obtaining GHC . .1 1.2 Meta-information: Web sites, mailing lists, etc. .1 1.3 Reporting bugs in GHC . .2 1.4 GHC version numbering policy . .2 1.5 Release notes for version 7.8.1 . .3 1.5.1 Highlights . .3 1.5.2 Full details . .5 1.5.2.1 Language . .5 1.5.2.2 Compiler . .5 1.5.2.3 GHCi . .6 1.5.2.4 Template Haskell . .6 1.5.2.5 Runtime system . .6 1.5.2.6 Build system . .6 1.5.3 Libraries . .6 1.5.3.1 array . .6 1.5.3.2 base . .7 1.5.3.3 bin-package-db . .7 1.5.3.4 binary . .7 1.5.3.5 bytestring . .7 1.5.3.6 Cabal . .8 1.5.3.7 containers . .8 1.5.3.8 deepseq . .8 1.5.3.9 directory . .8 1.5.3.10 filepath . .8 1.5.3.11 ghc-prim . .8 1.5.3.12 haskell98 . -
Freebsd Foundation February 2018 Update
FreeBSD Foundation February 2018 Update Upcoming Events Message from the Executive Director Dear FreeBSD Community Member, AsiaBSDCon 2018 Welcome to our February Newsletter! In this newsletter you’ll read about FreeBSD Developers Summit conferences we participated in to promote and teach about FreeBSD, March 8-9, 2018 software development projects we are working on, why we need Tokyo, Japan funding, upcoming events, a release engineering update, and more. AsiaBSDCon 2018 Enjoy! March 8-11, 2018 Tokyo, Japan Deb SCALE 16x March 8-11, 2018 Pasadena, CA February 2018 Development Projects FOSSASIA 2018 March 22-25, 2018 Update: The Modern FreeBSD Tool Chain: Singapore, Singapore LLVM's LLD Linker As with other BSD distributions, FreeBSD has a base system that FreeBSD Journal is developed, tested and released by a single team. Included in the base system is the tool chain, the set of programs used to build, debug and test software. FreeBSD has relied on the GNU tool chain suite for most of its history. This includes the GNU Compiler Collection (GCC) compiler, and GNU binutils which include the GNU "bfd" linker. These tools served the FreeBSD project well from 1993 until 2007, when the GNU project migrated to releasing its software under the General Public License, version 3 (GPLv3). A number of FreeBSD developers and users objected to new restrictions included in GPLv3, and the GNU tool chain became increasingly outdated. The January/February issue of the FreeBSD Journal is now available. Don't miss articles on The FreeBSD project migrated to Clang/LLVM for the compiler in Tracing ifconfig Commands, Storage FreeBSD 10, and most of GNU binutils were replaced with the ELF Tool Multipathing, and more. -
Benchmarking the Stack Trace Analysis Tool for Bluegene/L
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Juelich Shared Electronic Resources John von Neumann Institute for Computing Benchmarking the Stack Trace Analysis Tool for BlueGene/L Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz published in Parallel Computing: Architectures, Algorithms and Applications , C. Bischof, M. B¨ucker, P. Gibbon, G.R. Joubert, T. Lippert, B. Mohr, F. Peters (Eds.), John von Neumann Institute for Computing, J¨ulich, NIC Series, Vol. 38, ISBN 978-3-9810843-4-4, pp. 621-628, 2007. Reprinted in: Advances in Parallel Computing, Volume 15, ISSN 0927-5452, ISBN 978-1-58603-796-3 (IOS Press), 2008. c 2007 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above. http://www.fz-juelich.de/nic-series/volume38 Benchmarking the Stack Trace Analysis Tool for BlueGene/L Gregory L. Lee1, Dong H. Ahn1, Dorian C. Arnold2, Bronis R. de Supinski1, Barton P. Miller2, and Martin Schulz1 1 Computation Directorate Lawrence Livermore National Laboratory, Livermore, California, U.S.A. E-mail: {lee218, ahn1, bronis, schulzm}@llnl.gov 2 Computer Sciences Department University of Wisconsin, Madison, Wisconsin, U.S.A. E-mail: {darnold, bart}@cs.wisc.edu We present STATBench, an emulator of a scalable, lightweight, and effective tool to help debug extreme-scale parallel applications, the Stack Trace Analysis Tool (STAT). -
Hassling with the IDE - for Haskell
Hassling with the IDE - for Haskell This guide is for students that are new to the Haskell language and are in need for a proper Integrated Development Environment (IDE) to work on the projects of the course. This guide is intended for Windows users. It may work similarly on Linux and iOS. For more information, see: - https://www.haskell.org/platform/mac.html for iOS - https://www.haskell.org/downloads/linux/ for Linux For any errors, please contact me at [email protected]. Changelog 04/09/2019 Initial version 24/08/2020 Updated contents for the year 2020 / 2021, thanks to Bernadet for pointing it out 1. Installing Visual Studio Code Visual Studio Code (VSC) is a lightweight, but rather extensive, code editor. We’ll talk about its features throughout this guide. You can download VSC at: https://code.visualstudio.com/download Once installed, take note of the sidebar on the left. From top to bottom, it contains: - Explorer (Ctrl + Shift + E) - Search (Ctrl + Shift + F) - Source control (Ctrl + Shift + G) - Debug (Ctrl + Shift + D) - Extensions (Ctrl + Shift + X) The bold options are important to remember. They will be mentioned throughout this document. 2. Installing GHC (and stack / cabal) on Windows Download the Glasgow Haskell Compiler (GHC). This compiler is used throughout this course and any other course that uses Haskell. You can find its download instructions at: https://www.haskell.org/platform/windows.html The download link recommends you to use Chocolatey. Chocolatey is an open source project that provides developers and admins alike a better way to manage Windows software. -
Installing Haskell
Installing Haskell 0.1 Learning programming Throughout this course you’ll be learning to program in Haskell. One way of learning a programming language is to start with formal syntax and semantics (although very few programming languages have formal semantics). This is very different from how most people learn languages, be it natural or computer languages. A child learns the meaning of words and sentences not by analyzing their structure and looking up the definitions in Wikipedia. In fact, a child’s understanding of language is very similar to how we work in category theory. We derive the meaning of objects from the network of interactions with other objects. This is easy in mathematics, where we can say that an object is defined by the totality of its interactions with possibly infinite set of other objects (we’ll see that when we talk about the Yoneda lemma). In real life we don’t have the time to explore the infinity, so we can only approximate this process. We do this by living on credit. This is how we are going to learn Haskell. We’ll be using things, from day one, without fully understanding their meaning, thus constantly incurring a conceptual debt. Some of this debt will be paid later. Some of it will stay with us forever. The alternative would be to first learn about cartesian closed categories and domain theory, formally define simply typed lambda calculus, build its categorical model, and only then wave our hands a bit and claim that at its core Haskell approximates this model. -
Warrior1: a Performance Sanitizer for C++ Arxiv:2010.09583V1 [Cs.SE]
Warrior1: A Performance Sanitizer for C++ Nadav Rotem, Lee Howes, David Goldblatt Facebook, Inc. October 20, 2020 1 Abstract buffer, copies the data and deletes the old buffer. As the vector grows the buffer size expands in a geometric se- This paper presents Warrior1, a tool that detects perfor- quence. Constructing a vector of 10 elements in a loop mance anti-patterns in C++ libraries. Many programs results in 5 calls to ’malloc’ and 4 calls to ’free’. These are slowed down by many small inefficiencies. Large- operations are relatively expensive. Moreover, the 4 dif- scale C++ applications are large, complex, and devel- ferent buffers pollute the cache and make the program run oped by large groups of engineers over a long period of slower. time, which makes the task of identifying inefficiencies One way to optimize the performance of this code is to difficult. Warrior1 was designed to detect the numerous call the ’reserve’ method of vector. This method will small performance issues that are the result of inefficient grow the underlying storage of the vector just once and use of C++ libraries. The tool detects performance anti- allow non-allocating growth of the vector up to the speci- patterns such as map double-lookup, vector reallocation, fied size. The vector growth reallocation is a well known short lived objects, and lambda object capture by value. problem, and there are many other patterns of inefficiency, Warrior1 is implemented as an instrumented C++ stan- some of which are described in section 3.4. dard library and an off-line diagnostics tool. -
Secrets of the Glasgow Haskell Compiler Inliner
Secrets of the Glasgow Haskell Compiler inliner Simon Marlow Simon Peyton Jones Microsoft Research Ltd, Cambridge Microsoft Research Ltd, Cambridge [email protected] [email protected] Septemb er 1, 1999 A ma jor issue for any compiler, esp ecially for one that Abstract inlines heavily,is name capture. Our initial brute-force solution involved inconvenient plumbing, and wehave Higher-order languages, such as Haskell, encourage the pro- now evolved a simple and e ective alternative Sec- grammer to build abstractions by comp osing functions. A tion 3. go o d compiler must inline many of these calls to recover an eciently executable program. At rst wewere very conservative ab out inlining recur- sive de nitions; that is, we did not inline them at all. In principle, inlining is dead simple: just replace the call But we found that this strategy o ccasionally b ehaved of a function by an instance of its b o dy. But any compiler- very badly. After a series of failed hacks we develop ed writer will tell you that inlining is a black art, full of delicate a simple, obviously-correct algorithm that do es the job compromises that work together to give go o d p erformance b eautifully Section 4. without unnecessary co de bloat. Because the compiler do es so much inlining, it is im- The purp ose of this pap er is, therefore, to articulate the p ortant to get as much as p ossible done in each pass key lessons we learned from a full-scale \pro duction" inliner, over the program. -
Does the Fault Reside in a Stack Trace? Assisting Crash Localization by Predicting Crashing Fault Residence
The Journal of Systems and Software 148 (2019) 88–104 Contents lists available at ScienceDirect The Journal of Systems and Software journal homepage: www.elsevier.com/locate/jss Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence ∗ Yongfeng Gu a, Jifeng Xuan a, , Hongyu Zhang b, Lanxin Zhang a, Qingna Fan c, Xiaoyuan Xie a, Tieyun Qian a a School of Computer Science, Wuhan University, Wuhan 430072, China b School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan NSW2308, Australia c Ruanmou Edu, Wuhan 430079, China a r t i c l e i n f o a b s t r a c t Article history: Given a stack trace reported at the time of software crash, crash localization aims to pinpoint the root Received 27 February 2018 cause of the crash. Crash localization is known as a time-consuming and labor-intensive task. Without Revised 7 October 2018 tool support, developers have to spend tedious manual effort examining a large amount of source code Accepted 6 November 2018 based on their experience. In this paper, we propose an automatic approach, namely CraTer, which pre- Available online 6 November 2018 dicts whether a crashing fault resides in stack traces or not (referred to as predicting crashing fault res- Keywords: idence ). We extract 89 features from stack traces and source code to train a predictive model based on Crash localization known crashes. We then use the model to predict the residence of newly-submitted crashes. CraTer can Stack trace reduce the search space for crashing faults and help prioritize crash localization efforts.