PPT-A Lock-Free Algorithm for

Concurrent Bags Håkan Sundell Anders Gidenstam Marina Papatriantafilou Philippas Tsigas Distributed Computing and Systems group Department of Computer Science and Engineering Chalmers University of Technology. Pooja Aggarwal. . Smruti. R. . Sarangi. Computer Science, IIT Delhi, India. 1. Outline. Motivation . Related Work. Parallel . Slot . Scheduler Design. Performance Results. Summary. 2. time. Thread . Erez . Petrank. – . Technion. Madanlal. . Musuvathi. - Microsoft . Bjarne. . Steensgaard. - Microsoft. Advances in Parallel Programming. Attempts to simplify. Automatic parallelization, easy models (transactional memories), new languages, platforms, tools for debugging, …. On the Interplay of Hardware Transactional Memory and Lock-free Indexing. Justin . Levandoski. Microsoft Research Redmond. Ryan Stutsman. Microsoft Research Redmond. Darko. . Makreshanski. Department of Computer Science. Digital security often begins with physical security…. 1. Legal Notice. Laws regarding lock picking vary significantly state-by-state. In most states purchase and possession of dedicated lock picking tools is legal . Maged. M. Michael. The Problem. Lock-free algorithms assume that threads can operate on any object at any time. Freeing memory could break this assumption. How can we free memory of deleted nodes in a safe and lock-free manner?. Bo Hong. Electrical and Computer Engineering Department. Drexel University. bohong@coe.drexel.edu. http://www.ece.drexel.edu/faculty/bohong. The Max-flow Problem. 2. Bo Hong. S. t. a. d. b. c. 8. 6. 4. Wilfredo. Velazquez. Outline. Basics of Concurrency. Concepts and Terminology. Advantages and Disadvantages. Amdahl’s Law. Synchronization Techniques. Concurrent Data Structures. Parallel Correctness. On the Interplay of Hardware Transactional Memory and Lock-free Indexing. Justin . Levandoski. Microsoft Research Redmond. Ryan Stutsman. Microsoft Research Redmond. Darko. . Makreshanski. Department of Computer Science. Pooja Aggarwal. . Smruti. R. . Sarangi. Computer Science, IIT Delhi, India. 1. Outline. Motivation . Related Work. Parallel . Slot . Scheduler Design. Performance Results. Summary. 2. time. Thread . r.a.r.e. .. Trevor Brown. Technion. slides at http://tbrown.pro. Why do we perform experiments?. To answer questions about . data structures. Is one data structure faster than another? Why?. We are asking about algorithmic differences,. r.a.r.e. .. Trevor Brown. Technion. slides at http://tbrown.pro. Why do we perform experiments?. To answer questions about . data structures. Is one data structure faster than another? Why?. We are asking about algorithmic differences,. Pooja. . Aggarwal . (IBM Research, . bangalore. ). Smruti. . R. . Sarangi. . (IIT Delhi). 1. Concurrent Object. Concurrent Object. Threads. Each thread executes a method on the object. method. request. Nhan Nguyen. & . Philippas. . Tsigas. ICDCS 2014. Distributed Computing and Systems. Chalmers University of Technology. Gothenburg, Sweden. Our contributions: a concurrent hash table. Nhan D. Nguyen. http://www.cse.iitk.ac.in/~mainakc/lockfree.html. Prabhakar. . Misra. and . Mainak. Chaudhuri. Indian Institute of Technology, Kanpur. Sketch. Talk in one slide. Result highlights. Related work. Lock-free data structures.