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检索条件"主题词=Parallel programming"

共 6684 条记录，以下是661-670 订阅

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Introducing Tetra: An Educational parallel programming System

Introducing Tetra: An Educational Parallel Programming Syste...

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IEEE International Symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Ian Finlayson Jerome Mueller Shehan Rajapakse Daniel Easterling The University of Mary Washington Fredericksburg Virginia USA University of Mary Washington Fredericksburg VA US

ISBN: (纸本)9781467376853

Despite the fact that we are firmly in the multicore era, the use of parallel programming is not as widespread as it could be - in the software industry or in education. There have been many calls to incorporate more parallel programming content into undergraduate computer science education. One obstacle to doing this is that the programming languages most commonly used for parallel programming are detailed, low-level languages such as C, C++, Fortran (with OpenMP or MPI), OpenCL and CUDA. These languages allow programmers to write very efficient code, but that is not so important for those whose goal is to learn the concepts of parallel computing. This paper introduces a parallel programming language called Tetra which provides parallel programming features as first class language features, and also provides garbage collection and is designed to be as simple as possible. Tetra also includes an integrated development environment which is specifically geared for debugging parallel programs and visualizing program execution across multiple threads.

关键词： parallel programming parallel processing Computer languages Debugging Libraries Instruction sets

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Characterizing and Improving the Performance of Many-Core Task-Based parallel programming Runtimes

Characterizing and Improving the Performance of Many-Core Ta...

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IEEE International Symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Jaume Bosch Xubin Tan Carlos Álvarez Daniel Jiménez-González Xavier Martorell Eduard Ayguadé Barcelona Supercomputing Center (BSC) Universitat Politècnica de Catalunya

parallel task-based programming models like OpenMP support the declaration of task data dependences. This information is used to delay the task execution until the task data is available. The dependences between tasks are calculated at runtime using shared graphs that are updated concurrently by all threads. However, only one thread can modify the task graph at a time to ensure correctness; others need to wait before doing their modifications. This waiting limits the application's parallelism and becomes critical in many-core systems. This paper characterizes this behavior, analyzing how it hinders performance and presenting an alternative organization suitable for the runtimes of task-based programming models. This organization allows managing the runtime structures asynchronously or synchronously, adapting the runtime to reduce the waste of computation resources and increase theperformance. Results show that the new runtime structure outperforms the peak speedup of the original runtime model whencontention is huge and achieves similar or better performance results for real applications.

关键词： Runtime Message systems Organizations parallel processing parallel programming Computational modeling

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A Virtualized Self-Adaptive parallel programming Framework for Heterogeneous High Productivity Computers

A Virtualized Self-Adaptive Parallel Programming Framework f...

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International Symposium on parallel and Distributed Processing with Applications, ISPA

作者： Hua Cheng Zuoning Chen Ninghui Sun Fenbin Qi Chaoqun Dong Laiwang Cheng Chinese Academy and Sciences Beijing China National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy and Sciences Beijing China Jiangnan Institute of Computing Technology Wuxi Jiangsu CN

This paper proposed a virtualized self-adaptive heterogeneous high productivity computers parallel programming framework (VAPPF), which is composed of virtualization-based runtime system (VRTS) and virtualized adaptive parallel programming model (VAPPM). Virtualization-based runtime system is composed of node-level virtual machine monitor (NVMM) and system-level virtual infrastructure (SVI). VAPPM program model is not only compatible with conventional data parallel, but also support task parallel. Moreover, with the concept of domains and virtualized process locale, virtualization-based runtime system can map between computation and processors according to system-level resources view and performance model. By conceal the hardware details through both runtime system level and programming model level by virtualization, the framework provides programmers a middle-level view independent of hardware details. Programmers can do their programming and debugging works on this middle-level view, and then, the runtime system map it into specific hardware environment. By this way, programming can be relatively separated from specific hardware architectures, this model realized an efficient work division between programmers and systems, and can help to improve the systempsilas programmability, scalability, portability, robustness, performance, and productivity.

关键词： parallel programming Productivity Concurrent computing Hardware programming profession Resource virtualization Virtual machine monitors Debugging Runtime environment Scalability

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CHAOS-MCAPI: An Optimized Mechanism to Support Multicore parallel programming

CHAOS-MCAPI: An Optimized Mechanism to Support Multicore Par...

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International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)

作者： Antonio D. Hidee Ideguchi Célio Estevan Morón Marcio Merino Fernandes Universidade Federal de Sao Carlos Sao Carlos SP BR Universidade Federal de São Carlos Sao Carlos SP Brazil

This paper presents CHAOS-MCAPI (Communication Header and Operating Support-Multicore Communication API), an IPC mechanism targeting parallel programming based on message passing on multicore platforms. The proposed mechanism is built on top of the D-Bus protocol for message transmission, which allows a higher abstraction level and control when compared to lower-level mechanisms such as UNIX Pipes. Optimizations adopted by the implementation of CHAOS-MCAPI resulted in significant performance gains in relation to the original D-Bus implementation, which should be further improved by the adoption of KDBus, a 'zero-copy' mechanism recently made available natively in the Linux Kernel. That should make CHAOS-MCAPI a viable alternative for the design and implementation of parallel programs targeting multicore platforms, both in terms of scalability and programmer's productivity.

关键词： Multicore processing Chaotic communication Message passing Protocols Program processors parallel programming

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Fault-tolerant parallel programming with atomic actions

Fault-tolerant parallel programming with atomic actions

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Proceedings of IEEE Workshop on Fault-Tolerant parallel and Distributed Systems

作者： J. Maier Institute of Parallel and Distributed High-Performance Systems (IPVR) University of Stuttgart Stuttgart Germany

The Pact (parallel actions) parallel programming environment provides an easy-to-use parallel execution and synchronization model based on task parallelization. To give the programmer an abstraction for global data (even on distributed memory machines) the Pact runtime system uses virtual shared memory. Execution's efficiency is improved with data-dependent dynamic load balancing and latency-masking by multithreaded servers. Fault tolerance in Pact is based on atomic actions and is guaranteed by the runtime system in a fully user-transparent way. This article describes the Pact runtime system's design together with its logging and recovery algorithms for an implementation on a massively parallel distributed memory computer.

关键词： Fault tolerance parallel programming Checkpointing programming profession Concurrent computing Distributed computing Fault tolerant systems Algorithm design and analysis Application software Libraries

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Integrating synchronous and asynchronous paradigms: the Fork95 parallel programming language

Integrating synchronous and asynchronous paradigms: the Fork...

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programming Models for Massively parallel Computers

作者： C.W. Kessler H. Seidl Fachbereich IV Inf. Trier Univ. Germany Universitat Trier Trier Rheinland-Pfalz DE

The SB-PRAM is a lock-step-synchronous, massively parallel multiprocessor currently being built at Saarbrucken University, with up to 4096 RISC-style processing elements and with a (from the programmer's view) physically shared memory of up to SGByte with uniform memory access time. Fork95 is a redesign of the PRAM language FORK, based on ANSI C, with additional constructs to create parallel processes, hierarchically dividing processor groups into subgroups, managing shared and private address subspaces. Fork95 makes the assembly-level synchronicity of the underlying hardware available to the programmer at the language level. Nevertheless, it provides comfortable facilities for locally asynchronous computation where desired by the programmer. We show that Fork95 offers full expressibility for the implementation of practically relevant parallel algorithms. We do this by examining all known parallel programming paradigms used for the parallel solution of real-world problems, such as strictly synchronous execution, asynchronous processes, pipelining and systolic algorithms, parallel divide and conquer, parallel prefix computation, data parallelism, etc., and show how these parallel programming paradigms are supported by the Fork95 language and run time system.

关键词： parallel programming parallel processing Libraries Phase change random access memory Synchronization Hardware programming profession Computer aided instruction Concurrent computing Time sharing computer systems

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parallel Java: A Unified API for Shared Memory and Cluster parallel programming in 100% Java

Parallel Java: A Unified API for Shared Memory and Cluster P...

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International Symposium on parallel and Distributed Processing (IPDPS)

作者： Alan Kaminsky Department of Computer Science Rochester Institute of Technology Rochester NY USA

parallel Java is a parallel programming API whose goals are (1) to support both shared memory (thread-based) parallel programming and cluster (message-based) parallel programming in a single unified API, allowing one to write parallel programs combining both paradigms; (2) to provide the same capabilities as OpenMP and MPI in an object oriented, 100% Java API; and (3) to be easily deployed and run in a heterogeneous computing environment of single-core CPUs, multi-core CPUs, and clusters thereof. This paper describes parallel Java's features and architecture; compares and contrasts parallel Java to other Java-based parallel middleware libraries; and reports performance measurements of parallel Java programs.

关键词： Java parallel programming Libraries Message passing Concurrent computing Middleware parallel processing Computer architecture Measurement Scientific computing

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Beyond vector processing: parallel programming on the CRAY APP

Beyond vector processing: parallel programming on the CRAY A...

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IEEE Compcon

作者： D. Miles Cray Research Superservers Inc. Beaverton OR USA

The CRAY APP is a highly parallel network compute server designed to accelerate Fortran and C programs in a UNIX environment. It can run complete programs in a simple shared memory environment, including support for UNIX system calls. A very efficient HiPPI interface makes the CRAY APP cluster-capable and well-suited to interact with other programs running on a network in a client/server mode. Several novel features of the CRAY APP system design and programming environment allow for simple porting and incremental tuning of existing applications. These include a highly efficient microkernel operating system, low overhead library-based parallel support software, and a simple refinement to existing vectorization techniques called data vectorization.< >

关键词： parallel programming Application software Bandwidth programming profession programming environments Space technology Arithmetic Computer networks Concurrent computing Network servers

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An approach to locality-conscious load balancing and transparent memory hierarchy management with a global-address-space parallel programming model 06

An approach to locality-conscious load balancing and transpa...

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International Symposium on parallel and Distributed Processing (IPDPS)

作者： S. Krishnamoorthy U. Catalyurek J. Nieplocha P. Sadayappan Department of Computer Science and Engineering Ohio State Uinversity USA Department of Biomedical Informatics Ohio State Uinversity USA Pacific Northwest National Laboratory Ohio State Uinversity USA

ISBN: (纸本)9781424400546

The development of efficient parallel out-of-core applications is often tedious, because of the need to explicitly manage the movement of data between files and data structures of the parallel program. Several large-scale applications require multiple passes of processing over data too large to fit in memory, where significant concurrency exists within each pass. This paper describes a global-address-space framework for the convenient specification and efficient execution of parallel out-of-core applications operating on block-sparse data. The programming model provides a global view of block-sparse matrices and a mechanism for the expression of parallel tasks that operate on block-sparse data. The tasks are automatically partitioned into phases that operate on memory-resident data, and mapped onto processors to optimize load balance and data locality. Experimental results are presented that demonstrate the utility of the approach

关键词： Load management Memory management parallel programming Tensile stress Concurrent computing Distributed computing Engineering management Physics computing Quantum computing Computer science

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Variable grain architectures for MPP computation and structured parallel programming

Variable grain architectures for MPP computation and structu...

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Working Conference on Massively parallel programming Models

作者： M. Vanneschi Department of Computer Science University of Pisa Italy

The paper discusses the relationships between hierarchically composite MPP architectures and the software technology derived from the structured parallel programming methodology, in particular the architectural support to successive modular refinements of parallel applications, and the architectural support to the parallel programming paradigms and their combinations. The structured parallel programming methodology referred here is an application of the Skeletons model. The considered hierarchically composite architectures are MPP machine models for PetaFlops computing, composed of proper combinations of current architectural models of different granularities, where the Processors-In-Memory model is adopted at the finest granularity level. The methodologies are discussed with reference to the current PQE2000 Project on MPP general purpose systems.

关键词： Computer architecture Concurrent computing parallel programming Application software Costs Software performance Software tools Stability Workstations Computer science

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