'Data race' diaporamas de présentation

Dynamic Data-Race Detection in Lock-Based Multi-Threaded Programs

Dynamic Data-Race Detection in Lock-Based Multi-Threaded Programs. Prepared by Eli Pozniansky under Supervision of Prof. Assaf Schuster. Table of Contents. What is a Data-Race? Why Data-Races are Undesired? How Data-Races Can be Prevented? Can Data-Races be Easily Detected?

1.23k views • 103 slides

Valor: Efficient, Software-Only Region Conflict Exceptions

Valor: Efficient, Software-Only Region Conflict Exceptions. Swarnendu Biswas , Minjia Zhang, and Michael D. Bond Ohio State University Brandon Lucia Carnegie Mellon University OOPSLA 2015. A Simple C++ Program. X* x = NULL; bool done= false ;. Thread T1. Thread T2.

1.19k views • 90 slides

Chang-Seo Park and Koushik Sen University of California Berkeley

Efficient Data Race Detection for Distributed Memory Parallel Programs CS267 Spring 2012 (3/8) O riginally presented at Supercomputing 2011 (Seattle, WA). Chang-Seo Park and Koushik Sen University of California Berkeley Paul Hargove and Costin Iancu Lawrence Berkeley Laboratory.

709 views • 60 slides

Ownership Types for Safe Region-Based Memory Management in Real-Time Java

720 views • 60 slides

Efficient On-the-Fly Data Race Detection in Multithreaded C++ Programs

Efficient On-the-Fly Data Race Detection in Multithreaded C++ Programs. Eli Pozniansky & Assaf Schuster. What is a Data Race?. Two concurrent accesses to a shared location, at least one of them for writing. Indicative of a bug. Thread 1 Thread 2 X++ T=Y Z=2 T=X.

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542 views • 45 slides

Concern-specific annotations for finding bugs in Java-like programs

Concern-specific annotations for finding bugs in Java-like programs. Lieven Desmet, Bart Jacobs, Frank Piessens, Jan Smans and Dries Vanoverberghe K.U. Leuven, Belgium Wolfram Schulte Microsoft Research, Redmond. Type systems are great!. lightweight sufficiently expressive decidable

516 views • 40 slides

Software Architecture

447 views • 33 slides

Man Cao Minjia Zhang Michael D. Bond

Drinking from Both Glasses : Adaptively Combining Pessimistic and Optimistic Synchronization for Efficient Parallel Runtime Support. Man Cao Minjia Zhang Michael D. Bond. Dynamic Analyses for Parallel Programs.

381 views • 32 slides

Survey on Trace Analyzers

Survey on Trace Analyzers. Hong, Shin. Contents. Introduction TemporalROVER JavaPathExplorer Further study. Introduction (1/4). The importance of Software is getting increased. ? Quality assurance of software is very important. Software is becoming more complex.

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Demand-Driven Software Race Detection using Hardware Performance Counters

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Multi-threaded Active Objects

403 views • 26 slides

Iterative Context Bounding for Systematic Testing of Multithreaded Programs

Iterative Context Bounding for Systematic Testing of Multithreaded Programs. Madan Musuvathi Shaz Qadeer Microsoft Research. Testing multithreaded programs is HARD. Specific thread interleavings expose subtle errors Testing often misses these errors

322 views • 23 slides

Precise Dynamic Data-Race Detection At The Right Abstraction Level

349 views • 21 slides

Hybrid Dynamic Data Race Detection

Hybrid Dynamic Data Race Detection. Robert O'Callahan and Jong-Deok Choi 2011.11.23 OSLab Meng Ying. Contents. 1. 3. 2. 8. 5. 6. 7. 4. Introduction. Lockset-Based Race Detection. H a ppens-Before Race Detection. Relationship Between Happens-Before

453 views • 20 slides

Static Data Race detection for Concurrent Programs with Asynchronous Calls Presenter:

Static Data Race detection for Concurrent Programs with Asynchronous Calls Presenter: M. Amin Alipour Software Design Laboratory http://asd.cs.mtu.edu malipour@mtu.edu. Outline. Introduction Problem Statement Main Contribution Solution Experimental Results. Introduction. Data Race:

313 views • 18 slides

Automatically Classifying Benign and Harmful Data Races Using Replay Analysis

Automatically Classifying Benign and Harmful Data Races Using Replay Analysis. S. Narayanasamyyz, Z. Wangy, J. Tiganiy, A. Edwardsy, and B. Calderyz Microsoft, University of California, San Diego. Guy Martin, OS Lab, GNU09. Agenda. Introduction Prior Work iDNA

312 views • 17 slides

Concurrent Predicates: A Debugging Technique for Every Parallel Programmer

243 views • 16 slides

Model Checking of a lock-free stack

Model Checking of a lock-free stack. Wael Yehia York University March 31, 2010. Main Components of the Stack. The stack was simply a top pointer Each thread has a ThreadInfo object that uniquely identifies the thread Two arrays, for collision and (lock-free) synchronization purposes

206 views • 10 slides

Visualization of Reachability Graphs: Some Ideas by Amin Alipour Software Design Lab

Visualization of Reachability Graphs: Some Ideas by Amin Alipour Software Design Lab malipour@mtu.edu. Outline. What is a Reachability Graph (RG)? Some Characteristics of RG Points of interests. What is RG. Program State: a unique valuation to variables and program counter

225 views • 10 slides