PPT-Performance Evaluation of Lock-free Data Structures on GPUs http://www.cse.iitk.ac.in/~mainakc/lockfree.html

httpwwwcseiitkacinmainakclockfreehtml Prabhakar Misra and Mainak Chaudhuri Indian Institute of Technology Kanpur Sketch Talk in one slide Result highlights Related work Lockfree data structures. Michael Abstract Lockfree objects offer significant performance and reliability advantages over conventional lockbased objects However the lack of an efficient portable lockfree method for the reclamation of the memory occupied by dynamic nodes remo Maged is a leading authority in lockfree algorithms and has found incredibly ingenious solutions to hard problems 3 Well be presenting one such exciting solution in the article youre now reading having An drei ful64257ll the modest role of kibitzinc Rao CSE 326 CSE 326 Lecture 7 More on Search Trees Todays Topics Lazy Operations Run Time Analysis of Binary Search Tree Operations Balanced Search Trees AVL Trees and Rotations Covered in Chapter 4 of the text R 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 . IME 20051164 Junghee Pyeon. IME 20051206 Wootaek Hwang. IME. . 20051214 Joonhyung Ahn. CONTENTS. Company & Product Overview. Company Overview. Product Overview. Business Analysis. Correspondingauthor.Tel.:+91512-2597561;fax:+91512-2598482.E-mailaddresses:tksen@iitk.ac.in,mpetks@nus.edu.sg(T.K.Sengupta),sde@iitk.ac.in(S.De). JournalofComputationalPhysics192(2003)677 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. Maurice . Herlihy. Computer Science . Dept. Brown University. 2. Not important:. The details.. Important. Irrevocable change. 3. How to think about Synchronization. Poor synchronization . ruins everything. TheresultsofthepreliminaryversionofthisarticleappearedinESA2006andSODA2008yDept.ofComp.Sc.andEngg.,IITKanpur,India.Email:sbaswana@cse.iitk.ac.in.ThisworkwassupportedbyaYoungFacultyChairAwardfromResea Wilfredo. Velazquez. Outline. Basics of Concurrency. Concepts and Terminology. Advantages and Disadvantages. Amdahl’s Law. Synchronization Techniques. Concurrent Data Structures. Parallel Correctness. Supercomputing. The Next wave of HPC. Presented by Shel Waggener. HP Materials from Marc Hamilton. June. , . 2011. © Copyright 2011 Hewlett-Packard Development Company, L.P.    . GPUs – changing the Economics of Supercomputing. 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,. Graphs and Graph Traversals. Kate Deibel. Summer 2012. July 25, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Last Time. We introduced the idea of graphs and their associated terminology. Key terms included:. Winter 2017. 1. Presentations on Monday. 2:30-4:20pm, Monday 3/13. No . more than 5 slides (including title slide. ). Time limit to be announced. Both partners should speak. Slides are due BY NOON (12pm) on Mon 3/13 to catalyst.