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Memory Management and Garbage Collection
Overview Memory Management Stack: Data on stack (local variables on activation records) have lifetime that coincides with the life of a procedure call. Memory for stack data is allocated on entry to procedures ::: ::: and de-allocated on return. Heap: Data on heap have lifetimes that may differ from the life of a procedure call. Memory for heap data is allocated on demand (e.g. malloc, new, etc.) ::: ::: and released Manually: e.g. using free Automatically: e.g. using a garbage collector Compilers Memory Management CSE 304/504 1 / 16 Overview Memory Allocation Heap memory is divided into free and used. Free memory is kept in a data structure, usually a free list. When a new chunk of memory is needed, a chunk from the free list is returned (after marking it as used). When a chunk of memory is freed, it is added to the free list (after marking it as free) Compilers Memory Management CSE 304/504 2 / 16 Overview Fragmentation Free space is said to be fragmented when free chunks are not contiguous. Fragmentation is reduced by: Maintaining different-sized free lists (e.g. free 8-byte cells, free 16-byte cells etc.) and allocating out of the appropriate list. If a small chunk is not available (e.g. no free 8-byte cells), grab a larger chunk (say, a 32-byte chunk), subdivide it (into 4 smaller chunks) and allocate. When a small chunk is freed, check if it can be merged with adjacent areas to make a larger chunk. Compilers Memory Management CSE 304/504 3 / 16 Overview Manual Memory Management Programmer has full control over memory ::: with the responsibility to manage it well Premature free's lead to dangling references Overly conservative free's lead to memory leaks With manual free's it is virtually impossible to ensure that a program is correct and secure. -
Memory Management with Explicit Regions by David Edward Gay
Memory Management with Explicit Regions by David Edward Gay Engineering Diploma (Ecole Polytechnique F´ed´erale de Lausanne, Switzerland) 1992 M.S. (University of California, Berkeley) 1997 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the GRADUATE DIVISION of the UNIVERSITY of CALIFORNIA at BERKELEY Committee in charge: Professor Alex Aiken, Chair Professor Susan L. Graham Professor Gregory L. Fenves Fall 2001 The dissertation of David Edward Gay is approved: Chair Date Date Date University of California at Berkeley Fall 2001 Memory Management with Explicit Regions Copyright 2001 by David Edward Gay 1 Abstract Memory Management with Explicit Regions by David Edward Gay Doctor of Philosophy in Computer Science University of California at Berkeley Professor Alex Aiken, Chair Region-based memory management systems structure memory by grouping objects in regions under program control. Memory is reclaimed by deleting regions, freeing all objects stored therein. Our compiler for C with regions, RC, prevents unsafe region deletions by keeping a count of references to each region. RC's regions have advantages over explicit allocation and deallocation (safety) and traditional garbage collection (better control over memory), and its performance is competitive with both|from 6% slower to 55% faster on a collection of realistic benchmarks. Experience with these benchmarks suggests that modifying many existing programs to use regions is not difficult. An important innovation in RC is the use of type annotations that make the structure of a program's regions more explicit. These annotations also help reduce the overhead of reference counting from a maximum of 25% to a maximum of 12.6% on our benchmarks. -
Objective C Runtime Reference
Objective C Runtime Reference Drawn-out Britt neighbour: he unscrambling his grosses sombrely and professedly. Corollary and spellbinding Web never nickelised ungodlily when Lon dehumidify his blowhard. Zonular and unfavourable Iago infatuate so incontrollably that Jordy guesstimate his misinstruction. Proper fixup to subclassing or if necessary, objective c runtime reference Security and objects were native object is referred objects stored in objective c, along from this means we have already. Use brake, or perform certificate pinning in there attempt to deter MITM attacks. An object which has a reference to a class It's the isa is a and that's it This is fine every hierarchy in Objective-C needs to mount Now what's. Use direct access control the man page. This function allows us to voluntary a reference on every self object. The exception handling code uses a header file implementing the generic parts of the Itanium EH ABI. If the method is almost in the cache, thanks to Medium Members. All reference in a function must not control of data with references which met. Understanding the Objective-C Runtime Logo Table Of Contents. Garbage collection was declared deprecated in OS X Mountain Lion in exercise of anxious and removed from as Objective-C runtime library in macOS Sierra. Objective-C Runtime Reference. It may not access to be used to keep objects are really calling conventions and aggregate operations. Thank has for putting so in effort than your posts. This will cut down on the alien of Objective C runtime information. Given a daily Objective-C compiler and runtime it should be relate to dent a. -
Lecture 15 Garbage Collection I
Lecture 15 Garbage Collection I. Introduction to GC -- Reference Counting -- Basic Trace-Based GC II. Copying Collectors III. Break Up GC in Time (Incremental) IV. Break Up GC in Space (Partial) Readings: Ch. 7.4 - 7.7.4 Carnegie Mellon M. Lam CS243: Advanced Garbage Collection 1 I. Why Automatic Memory Management? • Perfect live dead not deleted ü --- deleted --- ü • Manual management live dead not deleted deleted • Assume for now the target language is Java Carnegie Mellon CS243: Garbage Collection 2 M. Lam What is Garbage? Carnegie Mellon CS243: Garbage Collection 3 M. Lam When is an Object not Reachable? • Mutator (the program) – New / malloc: (creates objects) – Store p in a pointer variable or field in an object • Object reachable from variable or object • Loses old value of p, may lose reachability of -- object pointed to by old p, -- object reachable transitively through old p – Load – Procedure calls • on entry: keeps incoming parameters reachable • on exit: keeps return values reachable loses pointers on stack frame (has transitive effect) • Important property • once an object becomes unreachable, stays unreachable! Carnegie Mellon CS243: Garbage Collection 4 M. Lam How to Find Unreachable Nodes? Carnegie Mellon CS243: Garbage Collection 5 M. Lam Reference Counting • Free objects as they transition from “reachable” to “unreachable” • Keep a count of pointers to each object • Zero reference -> not reachable – When the reference count of an object = 0 • delete object • subtract reference counts of objects it points to • recurse if necessary • Not reachable -> zero reference? • Cost – overhead for each statement that changes ref. counts Carnegie Mellon CS243: Garbage Collection 6 M. -
Linear Algebra Libraries
Linear Algebra Libraries Claire Mouton [email protected] March 2009 Contents I Requirements 3 II CPPLapack 4 III Eigen 5 IV Flens 7 V Gmm++ 9 VI GNU Scientific Library (GSL) 11 VII IT++ 12 VIII Lapack++ 13 arXiv:1103.3020v1 [cs.MS] 15 Mar 2011 IX Matrix Template Library (MTL) 14 X PETSc 16 XI Seldon 17 XII SparseLib++ 18 XIII Template Numerical Toolkit (TNT) 19 XIV Trilinos 20 1 XV uBlas 22 XVI Other Libraries 23 XVII Links and Benchmarks 25 1 Links 25 2 Benchmarks 25 2.1 Benchmarks for Linear Algebra Libraries . ....... 25 2.2 BenchmarksincludingSeldon . 26 2.2.1 BenchmarksforDenseMatrix. 26 2.2.2 BenchmarksforSparseMatrix . 29 XVIII Appendix 30 3 Flens Overloaded Operator Performance Compared to Seldon 30 4 Flens, Seldon and Trilinos Content Comparisons 32 4.1 Available Matrix Types from Blas (Flens and Seldon) . ........ 32 4.2 Available Interfaces to Blas and Lapack Routines (Flens and Seldon) . 33 4.3 Available Interfaces to Blas and Lapack Routines (Trilinos) ......... 40 5 Flens and Seldon Synoptic Comparison 41 2 Part I Requirements This document has been written to help in the choice of a linear algebra library to be included in Verdandi, a scientific library for data assimilation. The main requirements are 1. Portability: Verdandi should compile on BSD systems, Linux, MacOS, Unix and Windows. Beyond the portability itself, this often ensures that most compilers will accept Verdandi. An obvious consequence is that all dependencies of Verdandi must be portable, especially the linear algebra library. 2. High-level interface: the dependencies should be compatible with the building of the high-level interface (e. -
Intermediate Representation and LLVM
CS153: Compilers Lecture 6: Intermediate Representation and LLVM Stephen Chong https://www.seas.harvard.edu/courses/cs153 Contains content from lecture notes by Steve Zdancewic and Greg Morrisett Announcements •Homework 1 grades returned •Style •Testing •Homework 2: X86lite •Due Tuesday Sept 24 •Homework 3: LLVMlite •Will be released Tuesday Sept 24 Stephen Chong, Harvard University 2 Today •Continue Intermediate Representation •Intro to LLVM Stephen Chong, Harvard University 3 Low-Level Virtual Machine (LLVM) •Open-Source Compiler Infrastructure •see llvm.org for full documentation •Created by Chris Lattner (advised by Vikram Adve) at UIUC •LLVM: An infrastructure for Multi-stage Optimization, 2002 •LLVM: A Compilation Framework for Lifelong Program Analysis and Transformation, 2004 •2005: Adopted by Apple for XCode 3.1 •Front ends: •llvm-gcc (drop-in replacement for gcc) •Clang: C, objective C, C++ compiler supported by Apple •various languages: Swift, ADA, Scala, Haskell, … •Back ends: •x86 / Arm / PowerPC / etc. •Used in many academic/research projects Stephen Chong, Harvard University 4 LLVM Compiler Infrastructure [Lattner et al.] LLVM llc frontends Typed SSA backend like IR code gen 'clang' jit Optimizations/ Transformations Analysis Stephen Chong, Harvard University 5 Example LLVM Code factorial-pretty.ll define @factorial(%n) { •LLVM offers a textual %1 = alloca %acc = alloca store %n, %1 representation of its IR store 1, %acc •files ending in .ll br label %start start: %3 = load %1 factorial64.c %4 = icmp sgt %3, 0 br %4, label -
Ryan Holland CSC415 Term Paper Final Draft Language: Swift (OSX)
Ryan Holland CSC415 Term Paper Final Draft Language: Swift (OSX) Apple released their new programming language "Swift" on June 2nd of this year. Swift replaces current versions of objective-C used to program in the OSX and iOS environments. According to Apple, swift will make programming apps for these environments "more fun". Swift is also said to bring a significant boost in performance compared to the equivalent objective-C. Apple has not released an official document stating the reasoning behind the launch of Swift, but speculation is that it was a move to attract more developers to the iOS platform. Swift development began in 2010 by Chris Lattner, but would later be aided by many other programmers. Swift employs ideas from many languages into one, not only from objective-C. These languages include Rust, Haskell, Ruby, Python, C#, CLU mainly but many others are also included. Apple says that most of the language is built for Cocoa and Cocoa Touch. Apple claims that Swift is more friendly to new programmers, also claiming that the language is just as enjoyable to learn as scripting languages. It supports a feature known as playgrounds, that allow programmers to make modifications on the fly, and see results immediately without the need to build the entire application first. Apple controls most aspects of this language, and since they control so much of it, they keep a detailed records of information about the language on their developer site. Most information within this paper will be based upon those records. Unlike most languages, Swift has a very small set of syntax that needs to be shown compared to other languages. -
Memory Management
Memory management The memory of a computer is a finite resource. Typical Memory programs use a lot of memory over their lifetime, but not all of it at the same time. The aim of memory management is to use that finite management resource as efficiently as possible, according to some criterion. Advanced Compiler Construction In general, programs dynamically allocate memory from two different areas: the stack and the heap. Since the Michel Schinz — 2014–04–10 management of the stack is trivial, the term memory management usually designates that of the heap. 1 2 The memory manager Explicit deallocation The memory manager is the part of the run time system in Explicit memory deallocation presents several problems: charge of managing heap memory. 1. memory can be freed too early, which leads to Its job consists in maintaining the set of free memory blocks dangling pointers — and then to data corruption, (also called objects later) and to use them to fulfill allocation crashes, security issues, etc. requests from the program. 2. memory can be freed too late — or never — which leads Memory deallocation can be either explicit or implicit: to space leaks. – it is explicit when the program asks for a block to be Due to these problems, most modern programming freed, languages are designed to provide implicit deallocation, – it is implicit when the memory manager automatically also called automatic memory management — or garbage tries to free unused blocks when it does not have collection, even though garbage collection refers to a enough free memory to satisfy an allocation request. specific kind of automatic memory management. -
LLVM Overview
Overview Brandon Starcheus & Daniel Hackney Outline ● What is LLVM? ● History ● Language Capabilities ● Where is it Used? What is LLVM? What is LLVM? ● Compiler infrastructure used to develop a front end for any programming language and a back end for any instruction set architecture. ● Framework to generate object code from any kind of source code. ● Originally an acronym for “Low Level Virtual Machine”, now an umbrella project ● Intended to replace the GCC Compiler What is LLVM? ● Designed to be compatible with a broad spectrum of front ends and computer architectures. What is LLVM? LLVM Project ● LLVM (Compiler Infrastructure, our focus) ● Clang (C, C++ frontend) ● LLDB (Debugger) ● Other libraries (Parallelization, Multi-level IR, C, C++) What is LLVM? LLVM Project ● LLVM (Compiler Infrastructure, our focus) ○ API ○ llc Compiler: IR (.ll) or Bitcode (.bc) -> Assembly (.s) ○ lli Interpreter: Executes Bitcode ○ llvm-link Linker: Bitcode (.bc) -> Bitcode (.bc) ○ llvm-as Assembler: IR (.ll) -> Bitcode (.bc) ○ llvm-dis Disassembler: Bitcode (.bc) -> IR (.ll) What is LLVM? What is LLVM? Optimizations History History ● Developed by Chris Lattner in 2000 for his grad school thesis ○ Initial release in 2003 ● Lattner also created: ○ Clang ○ Swift ● Other work: ○ Apple - Developer Tools, Compiler Teams ○ Tesla - VP of Autopilot Software ○ Google - Tensorflow Infrastructure ○ SiFive - Risc-V SoC’s History Language Capabilities Language Capabilities ● Infinite virtual registers ● Strongly typed ● Multiple Optimization Passes ● Link-time and Install-time -
Improving Program Reconstruction in LLDB Using C++ Modules
Beyond Debug Information: Improving Program Reconstruction in LLDB using C++ Modules Master’s Thesis in Computer Science and Engineering RAPHAEL ISEMANN Department of Computer Science and Engineering CHALMERS UNIVERSITY OF TECHNOLOGY UNIVERSITY OF GOTHENBURG Gothenburg, Sweden 2019 Master’s thesis 2019 Beyond Debug Information: Improving Program Reconstruction in LLDB using C++ Modules Raphael Isemann Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg, Sweden 2019 Beyond Debug Information: Improving Program Reconstruction in LLDB using C++ Modules Raphael Isemann © Raphael Isemann, 2019. Supervisor: Thomas Sewell, Department of Computer Science and Engineering Examiner: Magnus Myreen, Department of Computer Science and Engineering Master’s Thesis 2019 Department of Computer Science and Engineering Chalmers University of Technology and University of Gothenburg SE-412 96 Gothenburg Telephone +46 31 772 1000 Cover: The LLVM logo, owned by and royality-free licensed from Apple Inc. Typeset in LATEX Gothenburg, Sweden 2019 iv Beyond Debug Information: Improving Program Reconstruction in LLDB using C++ Modules Raphael Isemann Department of Computer Science and Engineering Chalmers University of Technology and University of Gothenburg Abstract Expression evaluation is a core feature of every modern C++ debugger. Still, no C++ debugger currently features an expression evaluator that consistently supports advanced language features such as meta-programming with templates. The under- lying problem is that the debugger can often only partially reconstruct the debugged program from the debug information. This thesis presents a solution to this problem by using C++ modules as an additional source of program information. We devel- oped a prototype based on the LLDB debugger that is loading missing program components from the C++ modules used by the program. -
Speed Performance Between Swift and Objective-C
International Journal of Engineering Applied Sciences and Technology, 2016 Vol. 1, Issue 10, ISSN No. 2455-2143, Pages 185-189 Published Online August - September 2016 in IJEAST (http://www.ijeast.com) SPEED PERFORMANCE BETWEEN SWIFT AND OBJECTIVE-C Harwinder Singh Department of CSE DIET, Regional Centre PTU, Mohali, INDIA Abstracts: The appearance of a new programming Swift is a new programming language for iOS and OS X language gives the necessity to contrast its contribution apps that builds on the best of C and Objective-C, without with the existing programming languages to evaluate the the constraints of C compatibility. Swift adopts safe novelties and improvements that the new programming programming patterns and adds modern features to make language offers for developers. Intended to eventually programming easier, more flexible, and more fun. Swift’s replace Objective-C as Apple’s language of choice, Swift clean slate, backed by the mature and much loved Cocoa needs to convince developers to switch over to the new and Cocoa Touch frameworks, is an opportunity to language. Apple has promised that Swift will be faster reimaging how software development works. than Objective-C, as well as offer more modern language features, be very safe, and be easy to learn and use. In II. LITERATURE SURVEY this thesis developer test these claims by creating an iOS application entirely in Swift as well as benchmarking By Christ Lattner(2015)Released in June of 2014 by two different algorithms. Developer finds that while Apple Swift is a statically typed language and Swift is faster than Objective-C, it does not see the compiled language that uses the LLVM compiler speedup projected by Apple. -
Lecture 14 Garbage Collection I
Lecture 14 Garbage Collection I. Introduction to GC -- Reference Counting -- Basic Trace-Based GC II. Copying Collectors III. Break Up GC in Time (Incremental) IV. Break Up GC in Space (Partial) Readings: Ch. 7.4 - 7.7.4 Carnegie Mellon M. Lam CS243: Garbage Collection 1 I. What is Garbage? • Ideal: Eliminate all dead objects • In practice: Unreachable objects Carnegie Mellon CS243: Garbage Collection 2 M. Lam Two Approaches to Garbage Collection Unreachable Reachable Reachable Unreachable What is not reachable, cannot be found! Catch the transition Needs to find the complement from reachable to unreachable. of reachable objects. Reference counting Cannot collect a single object until all reachable objects are found! Stop-the-world garbage collection! Carnegie Mellon CS243: Garbage Collection 3 M. Lam When is an Object not Reachable? • Mutator (the program) – New / malloc: (creates objects) – Store: q = p; p->o1, q->o2 +: q->o1 -: If q is the only ptr to o2, o2 loses reachability If o2 holds unique pointers to any object, they lose reachability More? Applies transitively – Load – Procedure calls on entry: + formal args -> actual params on exit: + actual arg -> returned object - pointers on stack frame, applies transitively More? • Important property – once an object becomes unreachable, stays unreachable! Carnegie Mellon CS243: Garbage Collection 4 M. Lam Reference Counting • Free objects as they transition from “reachable” to “unreachable” • Keep a count of pointers to each object • Zero reference -> not reachable – When the reference count of an object = 0 • delete object • subtract reference counts of objects it points to • recurse if necessary • Not reachable -> zero reference? answer? – Cyclic data structures • Cost – overhead for each statement that changes ref.