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11	New Abstractions for Data Parallel Programming James C. Brodman, Basilio B. Fraguela† , Mar´ıa J. Garzar´an, and David Padua Department of Computer Science University of Illinois at Urbana-Champaign brodman2, garzar Add to Reading List Source URL: polaris.cs.uiuc.edu Language: English - Date: 2009-03-05 10:59:40 Parallel computing Fortran ILLIAC IV APL Vector processor Data parallelism Array data type Bit array Cilk General-purpose computing on graphics processing units Array data structure NESL
12	Work-First and Help-First Scheduling Policies for Async-Finish Task Parallelism Yi Guo Rajkishore Barik Raghavan Raman Vivek Sarkar Add to Reading List Source URL: www.cs.rice.edu Language: English - Date: 2009-02-20 12:50:27 Parallel computing Concurrent programming languages Cilk Work stealing OpenMP Concurrent computing X10 Threading Building Blocks Unified Parallel C Multi-core processor Thread Futures and promises
13	Automatic Verification of Determinism for Structured Parallelism Martin Vechev IBM T.J. Watson Research Center Add to Reading List Source URL: www.srl.inf.ethz.ch Language: English - Date: 2011-10-05 13:02:44 Software engineering Computing Computer programming Procedural programming languages Concurrent programming languages Object-oriented programming languages ALGOL 68 Nm Determinism Cilk D
14	1 Scalable Multimedia Content Analysis on Parallel Platforms Using Python EKATERINA GONINA, University of California, Berkeley GERALD FRIEDLAND, International Computer Science Institute and Univeristy of California, Ber Add to Reading List Source URL: www.ericbattenberg.com Language: English - Date: 2016-04-17 01:51:14 Computing Concurrent computing Parallel computing GPGPU Graphics hardware Apache Software Foundation Concurrent programming languages MapReduce Cilk OpenCL Apache Hadoop Thread
15	Efficient Data Race Detection for Async-Finish Parallelism Raghavan Raman Jisheng Zhao Vivek Sarkar Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2011-01-15 11:59:59 Parallel computing Cilk Task parallelism OpenMP X10 Programming language Ada Unified Parallel C C Computing Computer programming Software engineering
16	On-the-Fly Maintenance of Series-Parallel Relationships in Fork-Join Multithreaded Programs Michael A. Bender Jeremy T. Fineman Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-09-28 06:21:25 Computer programming Tree traversal Tree Parse tree T-tree B-tree Rope Depth-first search Cilk Graph theory Binary trees Computing
17	This is the author’s version of the work. The definitive work was published in Proceedings of the Embedded World Conference, Nuremberg, Germany, March 03-05, 2010. Comparison of Parallelization Frameworks for Shared Me Add to Reading List Source URL: www12.informatik.uni-erlangen.de Language: English - Date: 2011-02-23 07:52:50 Parallel computing Application programming interfaces Generic programming Threads Computer architecture OpenMP Multi-core processor Intel Threading Building Blocks Cilk Computing Concurrent computing Computer programming
18	INTEL® PARALLEL STUDIO XE EVALUATION GUIDE Design Parallel Performance with Less Risk and More Impact Introduction This guide helps you experiment with adding parallelism to your serial applications using the Intel® Add to Reading List Source URL: www.greymatter.com Language: English - Date: 2014-09-11 10:23:11 Profilers Application programming interfaces Parallel computing Generic programming Threads Intel Parallel Studio Intel Cilk Microsoft Visual Studio Computing Computer programming Software
19	INTEL® PARALLEL STUDIO XE EVALUATION GUIDE A Simple Path to Parallelism with Intel® Cilk™ Plus Introduction This introductory tutorial describes how to use Intel® Cilk Plus to simplify making taking advantage of v Add to Reading List Source URL: www.greymatter.com Language: English - Date: 2014-09-11 10:17:22 Parallel computing Cilk Intel Cilk Plus Intel C++ Compiler Multi-core processor SIMD C Intel Parallel Studio Vectorization Computing Concurrent computing Computer programming
20	MetaFork: A Metalanguage for Concurrency Platforms Targeting Multicores Xiaohui Chen, Marc Moreno Maza & Sushek Shekar University of Western Ontario, Canada WG14 C Standards Committee Meeting Add to Reading List Source URL: www.open-std.org Language: English - Date: 2013-10-03 10:45:49 Parallel computing Application programming interfaces Fortran OpenMP Scheduling Thread Cilk Actor model Concurrency Computing Concurrent computing Computer programming