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检索条件"任意字段=8th International Conference on Partitioned Global Address Space Programming Models, PGAS 2014"

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

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8th international conference on partitioned global address space programming models, pgas 2014

ISBN: (纸本)9781450332477

the proceedings contain 25 papers. the topics discussed include: early evaluation of scalable fabric interface for pgas programming models;OpenCoarrays: open-source transport layers supporting coarray Fortran compilers;HPX - a task based programming model in a global address space;designing scalable out-of-core sorting with hybrid MPI+pgas programming models;evaluation of pgas communication paradigms with geometric multigrid;experiences at scale with pgas versions of a hydrodynamics application;extending the OpenSHMEM memory model to support user-defined spaces;affine loop optimization based on modulo unrolling in chapel;optimization of a general model checking framework for various memory consistency models;and analysis of energy and performance of code transformations for pgas-based data access patterns.

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Evaluation of pgas communication paradigms with geometric multigrid 14

Evaluation of PGAS communication paradigms with geometric mu...

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8th international conference on partitioned global address space programming models, pgas 2014

作者： Shan, Hongzhang Kamil, Amir Williams, Samuel Zheng, Yili Yelick, Katherine Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States

ISBN: (纸本)9781450332477

partitioned global address space (pgas) languages and one-sided communication enable application developers to select the communication paradigm that balances the performance needs of applications with the productivity desires of programmers. In this paper, we evaluate three different one-sided communication paradigms in the context of geometric multigrid using the miniGMG benchmark. Although miniGMG's static, regular,and predictable communication does not exploit the ultimate potential of pgas models, multigrid solvers appear in many contemporary applications and represent one of the most important communication patterns. We use UPC++, a pgas extension of C++, as the vehicle for our evaluation, though our work is applicable to any of the existing pgas languages and models. We compare performance with the highly tuned MPI baseline, and the results indicate that the most promising approach towards achieving performance and ease of programming is to use high-level abstractions, such as the multidimensional arrays provided by UPC++, that hide data aggregation and messaging in the runtime library. (c) 2014 Association for Computing Machinery. Copyright 2014 ACM 978-1-4503-3247-7/14/10$15.00.

关键词： C++ (programming language)

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Designing scalable out-of-core sorting with hybrid MPI+pgas programming models 14

Designing scalable out-of-core sorting with hybrid MPI+PGAS ...

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8th international conference on partitioned global address space programming models, pgas 2014

作者： Jose, Jithin Potluri, Sreeram Subramoni, Hari Lu, Xiaoyi Hamidouche, Khaled Schulz, Karl Sundar, Hari Panda, Dhabaleswar K. Ohio State University United States Intel Corporation Portugal University of Utah United States

ISBN: (纸本)9781450332477

While Hadoop holds the current Sort Benchmark record, previous research has shown that MPI-based solutions can deliver similar performance. However, most existing MPI-based designs rely on two-sided communication semantics. the emerging partitioned global address space (pgas) programming model presents a flexible way to express parallelism for data-intensive applications. However, not all portions of the data analytics applications are amenable to conversion using pgas models. In this study, we propose a novel design of the out-of-core, k-way parallel sort algorithm that takes advantage of the features of both MPI and OpenSHMEM pgas models. To the best of our knowledge, this is the first design of any data intensive computing application using Hybrid MPI + pgas models. Our experimental evaluation indicates that our proposed framework outperforms existing MPI-based design by up to 45% at 8,192 processes. It also achieves 7X improvement over Hadoop-based sort using the same amount of resources at 1,024 cores. Copyright © 2014 ACM 978-1-4503-3247-7/14/10... $15.00.

关键词： Benchmarking

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Early evaluation of Scalable fabric interface for pgas programming models 14

Early evaluation of Scalable fabric interface for PGAS progr...

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8th international conference on partitioned global address space programming models, pgas 2014

作者： Luo, Miao Seager, Kayla Murthy, Karthik S. Archer, Charles J. Sur, Sayantan Hefty, Sean Intel Corporation Portugal Rice University United States

ISBN: (纸本)9781450332477

Inter-processor communication is a critical factor for performance at scale. In order to achieve good performance, communication overheads should be minimized. the fabric interface library plays a major role in determining the communication overheads. this is very important for the partitioned global address space (pgas) programming models, as these models have been designed for very low-overhead remote memory access. the OpenFabrics Alliance has recently initiated an effort to revamp fabric communication interface to better suit parallel programming models. the new open-source interface is being called Scalable Fabric Interface (SFI). the chief distinguishing feature being that the new interfaces are being co-designed along with the applications that use them, such as pgas communication libraries. In this paper we present an early evaluation of the mapping of pgas libraries by implementing prototypes of the popular GASNet library and OpenSHMEM over SFI. Our analysis indicates overheads of mapping to SFI are significantly lower than to the current OpenFabrics Verbs communication interface. We can reduce the number of instructions in mapping GASNet to SFI by 82%, Berkeley UPC over GASNet to SFI by 80%, and OpenSHMEM to SFI by 95% as compared to similar mappings to OpenFabrics Verbs interface. Copyright © 2014 ACM 978-1-4503-3247-7/14/10...$15.00.

关键词： Mapping

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Multi-threaded openSHMEM: A bad idea? 14

Multi-threaded openSHMEM: A bad idea?

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8th international conference on partitioned global address space programming models, pgas 2014

作者： Jost, Gabriele Hanebutte, Ulf R. Dinan, James Intel Corporation 3600 Juliette Lane Santa ClaraCA95054 United States Intel Corporation 705 5th Ave S SeattleWA98104 United States Intel Corporation 75 Reed Road HudsonMA1749 United States

ISBN: (纸本)9781450332477

the purpose of this document is to stimulate discussions on support for multi-threaded execution in OpenSHMEM. Why is there a need for any thread support at all for an API that follows a shared global address space paradigm? In our ongoing work, we investigate opportunities and challenges introduced through multi-threading, namely implementation challenges and opportunities and required - as well desirable - extensions to the API. Copyright 2014 ACM 978-1-4503-3247-7/14/10 $15.00.

关键词： hybrid programming OpenSHMEM threading

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Hybrid-view programming of Nuclear Fusion Simulation Code in the pgas Parallel programming Language XcalableMP 20

Hybrid-view Programming of Nuclear Fusion Simulation Code in...

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20th IEEE international conference on Parallel and Distributed Systems (ICPADS)

作者： Tsugane, Keisuke Nuga, Hideo Boku, Taisuke Murai, Hitoshi Sato, Mitsuhisa Tang, William Wang, Bei Univ Tsukuba Grad Sch Syst & Informat Engn Tsukuba Ibaraki 305 Japan Univ Tsukuba Ctr Computat Sci Tsukuba Ibaraki 305 Japan Japan Atom Energy Agcy Naka Ibaraki Japan RIKEN Adv Inst Computat Sci Wako Saitama Japan Princeton Univ Prince Plasma Phys Lab Princeton NJ 08544 USA Princeton Univ Princeton Inst Computat Sci & Engn Princeton NJ 08544 USA

ISBN: (纸本)9781479976157

Recently, the partitioned global address space (pgas) parallel programming model has emerged as a usable distributed memory programming model. XcalableMP (XMP) is a pgas parallel programming language that extends base languages such as C and Fortran with directives in OpenMP-like style. XMP supports a global-view model that allows programmers to define global data and to map them to a set of processors, which execute the distributed global data as a single thread. In XMP, the concept of a coarray is also employed for local-view programming. In this study, we port Gyrokinetic Toroidal Code - Princeton (GTC-P), which is a three-dimensional PIC code developed at Princeton University to study the microturbulence phenomenon in magnetically confined fusion plasmas, to XMP as an example of hybrid memory model coding with the global-view and local-view programming models. In local-view programming, the coarray notation is simple and intuitive compared with Message Passing Interface (MPI) programming while the performance is comparable to that of the MPI version. thus, because the global-view programming model is suitable for expressing the data parallelism for a field of grid space data, we implement a hybrid-view version using a global-view programming model to compute the field and a local-view programming model to compute the movement of particles. the performance is degraded by 5-25% compared with the original MPI version, but the hybrid-view version facilitates more natural data expression for static grid space data (in global-view model) and dynamic particle data (in local-view model), and it also increases the readability of the code for higher productivity.

关键词： GTC-P partitioned global address space PIC code Nuclear Fusion Simulation XcalableMP

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HPX - A task based programming model in a global address space 14

HPX - A task based programming model in a global address spa...

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8th international conference on partitioned global address space programming models, pgas 2014

作者： Kaiser, Hartmut Serio, Adrian Heller, thomas Fey, Dietmar Adelstein-Lelbach, Bryce Center for Computation and Technology Louisiana State University Louisiana United States Computer Science 3 Computer Architectures Friedrich-Alexander-University Erlangen Germany

ISBN: (纸本)9781450332477

the significant increase in complexity of Exascale platforms due to energy-constrained, billion-way parallelism, with major changes to processor and memory architecture, requires new energy-efficient and resilient programming techniques that are portable across multiple future generations of machines. We believe that guaranteeing adequate scalability, programmability, performance portability, resilience, and energy efficiency requires a fundamentally new approach, combined with a transition path for existing scientific applications, to fully explore the rewards of todays and tomorrows systems. We present HPX - a parallel runtime system which extends the C++11/14 standard to facilitate distributed operations, enable fine-grained constraint based parallelism, and support runtime adaptive resource management. this provides a widely accepted API enabling programmability, composability and performance portability of user applications. By employing a global address space, we seamlessly augment the standard to apply to a distributed case. We present HPX's architecture, design decisions, and results selected from a diverse set of application runs showing superior performance, scalability, and efficiency over conventional practice. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Memory architecture

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Contexts: A mechanism for high throughput communication in OpenSHMEM 14

Contexts: A mechanism for high throughput communication in O...

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8th international conference on partitioned global address space programming models, pgas 2014

作者： Dinan, James Flajslik, Mario Intel Corporation Portugal

ISBN: (纸本)9781450332477

this paper introduces a proposed extension to the OpenSHMEM parallel programming model, called communication contexts. Contexts introduce a new construct that allows a programmer to generate independent streams of communication operations. In hybrid executions where multiple threads execute within an Open-SHMEM process, contexts eliminate interference between threads, and enable the OpenSHMEM library to map operations generated by threads to private communication resource sets. By providing thread isolation, contexts eliminate synchronization overheads and enable each thread to drive a similar set of resources and achieve performance comparable to an OpenSHMEM process. In conventional, single-threaded execution, contexts provide greater control over ordering of operations and can improve communication and computation overlap. A detailed description of the contexts interface and its implementation for the Portals 4 network programming interface is described. the implementation is evaluated using Mandelbrot set and integer sorting (IS) benchmarks. Contexts provide a 25% performance improvement for Mandelbrot by eliminating thread interference and enabling pipelining, and a 35% improvement was achieved for IS by enabling more effective communication/computation overlap.

关键词： Parallel programming

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Scaling Scientific Applications on Clusters of Hybrid Multicore/GPU Nodes 11

Scaling Scientific Applications on Clusters of Hybrid Multic...

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8th ACM international conference on Computing Frontiers (CF)

作者： Wang, Lingyuan Huang, Miaoqing Narayana, Vikram K. El-Ghazawi, Tarek George Washington Univ ECE Dept Washington DC 20052 USA Univ Arkansas CSCE Dept Fayetteville AR 72701 USA

ISBN: (纸本)9781450306980

Rapid advances in the performance and programmability of graphics accelerators have made GPU computing a compelling solution for a wide variety of application domains. However, the increased complexity as a result of architectural heterogeneity and imbalances in hardware resources poses significant programming challenges in harnessing the performance advantages of GPU accelerated parallel systems. Moreover, the speedup derived from GPU often gets offset by longer communication latencies and inefficient task scheduling. To achieve the best possible performance, a suitable parallel programming model is therefore essential. In this paper, we explore a new hybrid parallel programming model that incorporates GPU acceleration with the partitioned global address space (pgas) programming paradigm. As we demonstrate, by combining Unified Parallel C (UPC) and CUDA as a case study, this hybrid model offers programmers with both enhanced programmability and powerful heterogeneous execution. Two application benchmarks, namely NAS Parallel Benchmark (NPB) FT and MG, are used to show the effectiveness of our proposed hybrid approach. Experimental results indicate that both implementations achieve significantly better performance due to optimization opportunities offered by the hybrid model, such as the funneled execution mode and fine-grained overlapping of communication and computation.

关键词： GPU Multicore UPC Hybrid Parallel programming

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Designing scalable Graph500 benchmark with hybrid MPI+OpenSHMEM programming models

Designing scalable Graph500 benchmark with hybrid MPI+OpenSH...

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28th international Supercomputing conference on Supercomputing, ISC 2013

作者： Jose, Jithin Potluri, Sreeram Tomko, Karen Panda, Dhabaleswar K. Department of Computer Science and Engineering Ohio State University United States Ohio Supercomputer Center Columbus OH United States

ISBN: (纸本)9783642387494

MPI has been the de-facto programming model for scientific parallel applications. However, it is hard to extract the maximum performance for irregular data-driven applications using MPI. the partitioned global address space (pgas) programming models present an alternative approach to improve programmability. the lower overhead in one-sided communication and the global view of data in pgas models have the potential to increase the performance at scale. In this study, we take up 'Concurrent Search' kernel of Graph500 - a highly data driven irregular benchmark - and redesign it using both MPI and OpenSHMEM constructs. We also implement load balancing in Graph500. Our performance evaluations using MVAPICH2-X (Unified MPI+pgas Communication Runtime over InfiniBand) indicate a 59% reduction in execution time for the hybrid design, compared to the best performing MPI based design at 8,192 cores. © 2013 Springer-Verlag.

关键词： Benchmarking

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