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Linda ErLang Unified Parallel C (UPC) Charm++ OpenCL CilkLinda • a model of coordination and communication among several parallel processes operating upon objects stored in and retrieved from shared, virtual, associative memory • developed by David Gelernter and Nicholas Carriero at Yale University • implemented as a “coordination language”Linda • Tuple • Tuple space • Linda model requires four operations that individual workers perform on the tuples and the tuplespace • In • Rd • out • evalErLang • a general-purpose concurrent, garbage-collected programming language and runtime system • first version was developed by Joe Armstrong in 1986 • a proprietary language within Ericsson • released as open source in 1998 • In 2006, native symmetric multiprocessing support was added to the runtime system and virtual machineErLang • designed by Ericsson to support distributed, fault-tolerant, soft-real-time, non-stop applications • Erlang provides language-level features • all concurrency is explicit in Erlang, processes communicate using message passing instead of shared variables, which removes the need for locksUnified Parallel C • an extension of the C programming language designed for high-performance computing on large-scale parallel machines • The programmer is presented with a single shared, partitioned address spaceUnified Parallel C • The programmer is presented • a single shared • partitioned address space • variables may be directly read and written by any processor • each variable is physically associated with a single processorCharm++ • a parallel object-oriented programming language based on C++ and developed in the Parallel Programming Laboratory at the University of Illinois • Programs written in Charm++ • decomposed into a number of cooperating message-driven objects called chares • designed with the goal of • enhancing programmer productivity • good performance on a wide variety of underlying hardware platformsOpenCL • a framework for writing programs that execute across heterogeneous platforms • OpenCL includes • a language (based on C99) for writing kernels • APIs that are used to define and then control the platforms • was initially developed by Apple Inc • refined into an initial proposal in collaboration with technical teams at AMD, IBM, Intel, and Nvidia • an open standard maintained by the non-profit technology consortium Khronos Groupsummary • Shared memory programming tools • OpenMP • POSIX Threads • Distributed memory programming tools • MPI • Parallel Programming Languages • Linda • Erlang • Unified parallel C • Charm++ • OpenCLrefrences • • • • • • •

X3H5 Parallel Extensions for Programming Language C

Jul 24, 2014 330 likes | 753 Views Parallel programming languages. Hossein Bastan Isfahan University of Technology. outline. Parallel programming tools Shared memory programming tools OpenMP POSIX Threads Distributed memory programming tools MPI Parallel P rogramming L anguages Linda Erlang Unified parallel C Download Presentation Parallel programming languages An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher. Presentation Transcript Parallel programming languages HosseinBastan Isfahan University of Technologyoutline • Parallel programming tools • Shared memory programming tools • OpenMP • POSIX Threads • Distributed memory programming tools • MPI • Parallel Programming Languages • Linda • Erlang • Unified parallel C • Charm++ • OpenCLShared memory programming OpenMP POSIX ThreadShared memory modelOpenMP • an API • C, C++, and Fortran • OpenMP is • managed by the nonprofit technology consortium OpenMP Architecture Review Board ( OpenMP ARB) • AMD, IBM, Intel, Cray, HP, Fujitsu, Nvidia, NEC, Microsoft, Texas Instruments, Oracle Corporation, and more • OpenMP uses a portable, scalable model • simple and flexible interface • standard desktop computer to the supercomputerOpenMPOpenMPPOSIX Threads • POSIX standard for threads • The standard, POSIX.1c, Threads extensions (IEEE Std 1003.1c-1995) • an API for creating and manipulating threads. • Pthreads defines a set of C programming language types, functions and constants • implemented with a pthread.h • There are around 100 Pthreads procedures, all prefixed "pthread_" Distributed memory programming Message Passing Interface (MPI)Message Passing Interface • a standardized API typically used for parallel and/or distributed computing • researchers from academia and industry • MPI's goals • high performance • Scalability • portability • MPI standard is comprised of 2 documents • MPI-1 published in 1994 • MPI-2 published in 1996Message Passing Interface • MPI imlementation • MPICH • MPICH-G2 • OpenMPI • MPI.net , Pure MPI.net • MPJ Express • MatlabMPI, MPITB • MPI for PythonParallel Programming

Parallel nondeterministic programming as a language extension to C

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Synonyms Definition Intel® Threading Building Blocks (Intel® TBB) is a \(\textrm{ C} + +\) library for shared-memory parallel programming. Discussion Introduction Intel® Threading Building Blocks (Intel® TBB) is an open-source \(\textrm{ C}\)++ library for parallel programming of multi-core processors. It is notable as a commercially supported library for parallel programming targeting mainstream developers. It has won two “Jolt Productivity Awards.” The library has evolved since its initial release in 2006. This entry describes Intel® TBB version 3.0 released in 2010. The library supports both high-level and low-level specifications of parallel control flow. At the high level are parallel “algorithms,” similar in spirit to ISO C++’s algorithm> library. These range from simple parallel control structures such as parallel iteration to more complex subjects such as parallel sorting. The algorithms may be nested. At a slightly lower level the programmer can specify tasks,... BibliographyAcar U, Blelloch G, Blumofe R (2000) The data locality of work-stealing. In: Proceedings of 12th annual ACM symposium on parallel algorithms and architectures, SPAA ’00. Bar Harbor, Maine. ACM, New York, pp 1–12 Google Scholar Berger E, McKinley K, Blumofe R, Wilson, P (2000) Hoard: a scalable memory allocator for multithreaded applications. In: Proceedings of 9th international conference on architectural support for Programming Languages and Operating Systems, ASPLOS 2000. Cambridge, Massachusetts. ACM, New York, pp 117–128 Google Scholar Frigo M, Leiserson C, Randall K (1998) The implementation of the cilk-5 multithreaded language. In: Proceedings of the ACM SIGPLAN ‘98 conference on programming language design and implementation, PLDI ’98.

C= Parallel C/C Programming Language Extension - CNET

Description Set the voltage (CC, CR, CP mode) or current (CV mode) specification. Syntax SPECification:H SPECification:L SPECification:C Parameter For valid value range refer to respective specification. Page 123 Language Dictionary Return Parameter 0 | 1 Return Example 0 (PERCENT) 7-27... Page 124: Status Sub-System High Power DC Electronic Load 63200 Series Operation & Programming Manual 7.2.12 STATus Sub-system STATus :QUEStionable :CONDition :ENABle [:EVENt] :NTRansition :PTRansition STATus:QUEStionable:CONDition Description Real-time ("live") recording for Questionable data Query Syntax STATus:QUEStionable:CONDition? Return Parameter Query Example STAT:QUES:COND? Return the channel status. Page 125 Language Dictionary STAT:QUES:NTR 4 Set OP(over power bit 2) to 1-to-0. Query Syntax STATus:QUEStionable:PTRansition? STATus:QUEStionable:NTRansition? Return Parameter Query Example STAT:QUES:PTR? Return the setting on the QUEStionable Ptransition/Ntransition. Return Example 7-29... Page 126: Voltage Sub-System High Power DC Electronic Load 63200 Series Operation & Programming Manual 7.2.13 VOLTage Sub-system VOLTage :CURRent :MODE VOLTage Description Set A or B Static in CV mode for load. Syntax VOLTage Parameter 0 | B, 1 | A... Page 127 Language Dictionary Return Parameter 0 | 1 Query Example VOLT:MODE? Return Example 0 (SLOW) 7-31... Page 128: System Sub-System High Power DC Electronic Load 63200 Series Operation & Programming Manual 7.2.14 SYSTem Sub-system SYSTem :WAVE :PARallel :DATA :DISPlay :MODE :SLAVe :CHANnel :MODEl SYSTem:WAVE Description Set the waveform source. Syntax SYSTem:WAVE Parameter 0 | INTERNAL, 1 | EXTERNAL... Page 129 Language Dictionary SYSTem:PARallel:SLAVe:CHANnel Description Set parallel mode for slave channel. Syntax SYSTem:PARallel:SLAVe:CHANnel Parameter Example SYST:PAR:SLAV:CHAN 1 Query Syntax SYSTem:PARallel:SLAVe:CHANnel? Return Parameter Query Example SYST:PAR:SLAV:CHAN? Return Example SYSTem:PARallel:SLAVe:MODEl Description Set parallel for slave model. Syntax SYSTem:PARallel:SLAVe:MODEl Parameter (For Model63201~63210) 0 | NONE... Page 131: Status Reporting Status Reporting Introduction This chapter covers the status data structure of Chroma 63200 series electronic load as shown in Figure 8-1 (on the next page). The standard registers, such as the Event Status register group, the Output Queue, the Status Byte and Service Request Enable registers perform standard GPIB functions and are defined in IEEE-488.2 Standard Digital Interface for... Page 132: Questionable Status High Power DC Electronic Load 63200 Series Operation & Programming Manual QUESTIONABLE STATUS CONDITION PTR/NTR EVENT ENABLE N.U. 5-15 SERVICE REQUEST GENERATION

C= Parallel C/C Programming Language Extension - Sketch

About this bookExpert guidance for those programming today's dual-core processors PCsAs PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization. Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010 Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning Explores vectorization, SIMD instructions, and additional parallel libraries Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.Frequently asked questionsSimply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.Yes, you can access Professional Parallel Programming with C# by Gastón C. Hillar in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in C. We have over one million books available in our catalogue for you to explore.Information {}"> Chapter 1 Task-Based Programming What's in this Chapter? Working with shared-memory multicore Understanding the differences between shared-memory multicore and distributed-memory systems Working with parallel programming and multicore programming in shared-memory architectures Understanding hardware threads and software threads Understanding Amdahl's Law Considering Gustafson's Law Working with lightweight concurrency models Creating successful. Download C= Parallel C/C Programming Language Extension - Covers typical parallel programming paradigms C= Parallel C/C Programming Language Extension DOWNLOAD NOW 1,893 downloads so far