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检索条件"任意字段=1st International Workshop on Extreme Scale Programming Models and Middleware, ESPM2 2015"

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Proceedings of espm2 2015: 1st international workshop on extreme scale programming models and middleware - Held in conjunction with SC 2015: The international Conference for High Performance Computing, Networking, storage and Analysis

Proceedings of ESPM2 2015: 1st International Workshop on Ext...

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1st international workshop on extreme scale programming models and middleware, espm2 2015

ISBN: (纸本)9781450339964

The proceedings contain 7 papers. The topics discussed include: PPL: an abstract runtime system for hybrid parallel programming;ACPdl: data-structure and global memory allocator library over a thin PGAS-layer;fault tolerance features of a new multi-SPMD programming/execution environment;higher-level parallelization for local and distributed asynchronous task-based programming;the scalable petascale data-driven approach for the Cholesky factorization with multiple GPUs;hyper-Q-aware intranode MPI collectives on the GPU;and task characterization-driven scheduling of multiple applications in a task-based runtime.

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Fault tolerance features of a new multi-SPMD programming/execution environment 1

Fault tolerance features of a new multi-SPMD programming/exe...

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1st international workshop on extreme scale programming models and middleware, espm2 2015

作者： Tsuji, Miwako Petiton, Serge Sato, Mitsuhisa RIKEN Advanced Institute for Computational Science University of Tsukuba Japan University Lille 1 Sciences and Technologies CNRS/LIFL CNRS/Maison de la Simulation France

ISBN: (纸本)9781450339964

Supercomputers in the exascale era would consist of a huge number of nodes arranged in a multi-level hierarchy. There are many important challenges to exploit such systems such as scalability, programmability, reliability and energy effi- ciency. In the previous work, we had focused on the scalability and programmability. We had proposed FP2C (Framework for Post-Petascale Computing), which is a development and execution environment based on workow and PGAS (Partitioned Global Address Space) programming models for parallel programming. In this paper, we focus on the reliability. We extend FP2C by adding a fault detection capability to the middleware of FP2C and by incorporating fault resilience scheduling policy into the workow scheduler. Using the extended FP2C, fault tolerance can be achieved without modifying applications. © 2015 ACM.

关键词： Fault tolerance

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PPL: An abstract runtime system for hybrid parallel programming 1

PPL: An abstract runtime system for hybrid parallel programm...

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1st international workshop on extreme scale programming models and middleware, espm2 2015

作者： Brooks, Alex Dang, Hoang-Vu Dryden, Nikoli Snir, Marc Department of Computer Science University of Illinois Urbana-ChampaignIL United States Mathematics and Computer Science Division Argonne National Laboratory IL United States

ISBN: (纸本)9781450339964

Hardware trends indicate that supercomputers will see fast growing intra-node parallelism. Future programming models will need to carefully manage the interaction between inter- and intra-node parallelism to cope with this evolution. There exist many programming models which expose both levels of parallelism. However, they do not scale well as per-node thread counts rise and there is limited interoperability between threading and communication, leading to unnecessary software overheads and an increased amount of unnecessary communication. To address this, it is necessary to understand the limitations of current models and develop new approaches. We propose a new runtime system design, PPL, which abstracts important high-level concepts of a typical parallel system for distributed-memory machines. By modularizing these elements, layers can be tested to better understand the needs of future programming models. We present details of the design and development implementation of PPL in C++11 and evaluate the performance of several di erent module implementations through micro-benchmarks and three applications: Barnes-Hut, Monte Carlo particle tracking, and a sparse-triangular solver. © 2015 ACM.

关键词： Supercomputers

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Higher-level parallelization for local and distributed asynchronous task-based programming 1

Higher-level parallelization for local and distributed async...

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1st international workshop on extreme scale programming models and middleware, espm2 2015

作者： Kaiser, Hartmut Heller, Thomas Bourgeois, Daniel Fey, Dietmar Center for Computation and Technology Louisiana State University LA United States Computer Science 3 Computer Architectures Friedrich-Alexander-University Erlangen Germany STELLAR Group United States

ISBN: (纸本)9781450339964

One of the biggest challenges on the way to exascale computing is programmability in the context of performance portability. The efficient utilization of the prospective architectures of exascale supercomputers will be challenging in many ways, very much because of a massive increase of on-node parallelism, and an increase of complexity of memory hierarchies. Parallel programming models need to be able to formulate algorithms that allow exploiting these architectural peculiarities. The recent revival of interest in the industry and wider community for the C++ language has spurred a remarkable amount of standardization proposals and technical specifications. Among those efforts is the development of seamlessly integrating various types of parallelism, such as iterative parallel execution, task-based parallelism, asynchronous execution flows, continuation style computation, and explicit fork-join control flow of independent and non-homogeneous code paths. Those proposals are the foundation of a powerful high-level abstraction that allows C++ codes to deal with an ever increasing architectural complexity in recent hardware developments. In this paper, we present the results of developing those higher level parallelization facilities in HPX, a general purpose C++ runtime system for applications of any scale. The developed higher-level parallelization APIs have been designed to overcome the limitations of today's prevalently used programming models in C++ codes. HPX exposes a uniform higher-level API which gives the application programmer syntactic and semantic equivalence of various types of on-node and off-node parallelism, all of which are well integrated into the C++ type system. We show that these higher level facilities which are fully aligned with modern C++ programming concepts, are easily extensible, fully generic, and enable highly efficient parallelization on par with or better than existing equivalent applications based on OpenMP and/or MPI. © 2015 ACM.

关键词： Supercomputers

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ACPdl: Data-structure and global memory allocator library over a thin PGAS-layer 1

ACPdl: Data-structure and global memory allocator library ov...

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1st international workshop on extreme scale programming models and middleware, espm2 2015

作者： Ajima, Yuichiro Nose, Takafumi Saga, Kazushige Shida, Naoyuki Sumimoto, Shinji Fujitsu Limited JST CREST 4-1-1 Kamikodanaka Nakahara-ku Kawasaki211-8588 Japan Fujitsu Limited JST CREST 140 Miyamoto Numazu-shi Shizuoka410-0396 Japan

ISBN: (纸本)9781450339964

HPC systems comprise an increasing number of processor cores towards the exascale computing era. As the number of parallel processes on a system increases, the number of point-to-point connections for each process increases and the memory usage of connections becomes an issue. A new communication library called Advanced Communication Primitives (ACP) is being developed to address the issue by providing communication functions with the Partitioned Global Address Space (PGAS) model that is potentially connection-less. The ACP library is designed to underlie domain-specific languages or parallel language runtimes. The ACP basic layer (ACPbl) comprises a minimum set of functions to abstract interconnect devices and to provide an address translation mechanism. As far as using ACPbl, global address can be granted only to local memory. In this paper, a new set of functions called the ACP data library (ACPdl) including global memory allocator and data-structure library is introduced to improve the productivity of the ACP library. The global memory allocator allocates a memory region of a remote process and assigns global address to it without involving the remote process. The data-structure library uses the global memory allocator internally and provides functions to create, read, update and delete distributed data-structures. Evaluation results of global memory allocator and associative-array data-structure functions show that overhead between the main and communication threads may become a bottleneck when an implementation of ACPbl uses a low latency HPC-dedicated interconnect device. © 2015 ACM.

关键词： Data structures

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