PPT-Enabling Speculative Parallelization

via Merge Semantics in STMs Kaushik Ravichandran kaushikrgatechedu Santosh Pande santoshccgatechedu College of Computing Georgia Institute of Technology Introduction Connected Components Problem and Speculative Parallelization. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. Speculative Lock Elision: Enabling Highly Concurrent Multithreaded ExecutionRavi Rajwar and James R. GoodmanUniversity of Wisconsin-Madison{rajwar, goodman}@cs.wisc.eduSerializationofthreadsduetocriti 1 2 speculative execution. In order to fully exploit the potential of value speculation, however, a highly accurate value predictor and efficient architectural support for value speculative execution Purple Door Guide 2 The basics Speculative applications involve sending a CV and covering letter to an employer to enquire about possible vacancies in the sector you are interested in. They are a g 12/01/2009. . Air France, Sophia . Antipolis. . . Solutions. and Services for . Accelerating. . your. Applications. . ProActive Parallel Suite . . Speed-up . applications by distributing them over a set of resources . Benjamin Wester. Peter Chen and Jason . Flinn. University of Michigan. Speculative Execution. Sequential dependent tasks. Predict results of Task A. to break dependence. Execute Task B in parallel. Isolate all effects. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. on Single-chip Shared-memory Multicores. Masab. Ahmad, . Kartik. . Lakhsminrarsimhan. , Omer Khan. University of Connecticut. Agenda. Motivation. Characterization Methodology. Characterization Results. Landon Cox. April . 5, . 2017. Making disk accesses tolerable. Basic idea. Remove disk accesses from critical path. Transform disk latencies into memory latencies. Requires predicting the future. Caching. Konstantinos Theodorakos. January 2015. Modern Processor Design. “Free lunch is over”. Lower Power consumption is favored on multi-core/processor architectures. CBD Parallelization . intention. Why Parallelize CBD models?. ECE 751, Fall 2015. Peng . Liu. 1. Overview. What? JavaScript . Engine optimization. How? Light-weight . software speculation mechanism. 2. [1] Heine. , David, et al. Software and hardware for exploiting speculative parallelism with a multiprocessor. Computer Systems Laboratory, Stanford University, 1997. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. GEF Expanded Constituency Workshop. 30 . October . to 1 . November . 2012. Arusha, Tanzania. GEF . Funding for . Enabling Activities. 1. st. Generation of GEF . EA. 2. nd. Generation of GEF . EA. ~$68M.