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检索条件"任意字段=IEEE International Symposium on Computer Architecture and High Performance Computing"

共 16707 条记录，以下是271-280 订阅

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FSCHOL: An OpenCL-based HPC Framework for Accelerating Sparse Cholesky Factorization on FPGAs 33

FSCHOL: An OpenCL-based HPC Framework for Accelerating Spars...

引用

33rd ieee international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Tavakoli, Erfan Bank Riera, Michael Quraishi, Masudul Hassan Ren, Fengbo Arizona State Univ Tempe AZ 85281 USA

ISBN: (纸本)9781665443012

The proposed FSCHOL framework consists of an FPGA kernel implementing a throughput-optimized hardware architecture for accelerating the supernodal multifrontal algorithm for sparse Cholesky factorization and a host program implementing a novel scheduling algorithm for finding the optimal execution order of supernodes computations for an elimination tree on the FPGA to eliminate the need for offchip memory access for storing intermediate results. Moreover, the proposed scheduling algorithm minimizes on-chip memory requirements for buffering intermediate results by resolving the dependency of parent nodes in an elimination tree through temporal parallelism. Experiment results for factorizing a set of sparse matrices in various sizes from SuiteSparse Matrix Collection show that the proposed FSCHOL implemented on an Intel Stratix 10 GX FPGA development board achieves on average 5.5x and 9.7x higher performance and 10.3x and 24.7x lower energy consumption than implementations of CHOLMOD on an Intel Xeon E5-2637 CPU and an NVIDIA V100 GPU, respectively.

关键词： Cholesky factorization sparse matrix decomposition FPGA OpenCL high-performance computing reconfigurable computing

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Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency 25

Pliant: Leveraging Approximation to Improve Datacenter Resou...

引用

25th ieee international symposium on high performance computer architecture (HPCA)

作者： Kulkarni, Neeraj Qi, Feng Delimitrou, Christina Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9781728114446

Cloud multi-tenancy is typically constrained to a single interactive service colocated with one or more batch, low-priority services, whose performance can be sacrificed when deemed necessary. Approximate computing applications offer the opportunity to enable tighter colocation among multiple applications whose performance is important. We present Pliant, a lightweight cloud runtime that leverages the ability of approximate computing applications to tolerate some loss in their output quality to boost the utilization of shared servers. During periods of high resource contention, Pliant employs incremental and interference-aware approximation to reduce contention in shared resources, and prevent QoS violations for co-scheduled interactive, latency-critical services. We evaluate Pliant across different interactive and approximate computing applications, and show that it preserves QoS for all co-scheduled workloads, while incurring a 2.1% loss in output quality, on average.

关键词： Quality of service Approximate computing Runtime Cloud computing Interference Optimization Synchronization

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A metascheduler for the Grid 11

A metascheduler for the Grid

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11th ieee international symposium on high performance Distributed computing (HPDC-11)

作者： Vadhiyar, SS Dongarra, JJ Univ Tennessee Comp Sci Dept Knoxville TN 37996 USA

ISBN: (纸本)0769516866

With the advent of Grid computing, scheduling strategies for distributed heterogeneous systems have either become irrelevant or have to be extended significantly to support Grid dynamics. In this paper, we describe a metascheduling architecture for a Grid system that takes into account both the application and system level considerations. Results are presented to demonstrate the usefulness of the metascheduler.

关键词： computer architecture computer science Contracts Distributed computing Dynamic scheduling Grid computing Libraries Lifting equipment Mars Processor scheduling

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Improving the performance of Fog computing through the use of Data Locality 30

Improving the Performance of Fog Computing through the use o...

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30th international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Steffenel, Luiz Angelo Univ Reims CReSTIC Lab CASH Team Reims France

ISBN: (纸本)9781538677698

Fog computing extends the Cloud computing paradigm to the edge of the network, developing a decentralized infrastructure in which services are distributed to locations that best meet the needs of the applications such as low communication latency, data caching or confidentiality. P2P-based platforms are good candidates to host Fog computing, but they usually lack important elements such as controlling where the data is stored and who will handle the computing tasks. As a consequence, controlling where the data is stored becomes as important as controlling who handle it. In this paper we propose different techniques to reinforce data-locality for P2P-based middlewares, and study how these techniques can be implemented. Experimental results demonstrate the interest of data locality on the data access performances.

关键词： fog computing P2P overlay data locality scheduling distributed hash table

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Customizable Heterogeneous Acceleration for Tomorrow's high-performance computing 17

Customizable Heterogeneous Acceleration for Tomorrow's High-...

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2015 ieee 17th international Conference on high performance computing and Communications (HPCC)

作者： Cilardo, Alessandro Flich, Jose Gagliardi, Mirko Gavila, Rafael T. Univ Naples Federico II DIETI Naples Italy Univ Politecn Valencia GAP Valencia Spain

ISBN: (纸本)9781479989379

high-performance computing as we know it today is experiencing unprecedented changes, encompassing all levels from technology to use cases. This paper explores the adoption of customizable, deeply heterogeneous manycore systems for future QoS-sensitive and power-efficient high-performance computing. At the heart of the proposed architecture is a NoC-based manycore system embracing medium-end CPUs, GPU-like processors, and reconfigurable hardware regions. The paper discusses the high-level design principles inspiring this innovative architecture as well as the key role that heterogeneous acceleration, ranging from multicore processors and GPUs down to FPGAs, might play for tomorrow's high-performance computing.

关键词： field programmable gate arrays graphics processing units multiprocessing systems network-on-chip parallel processing power aware computing quality of service FPGA GPU-like processors NoC-based many-core system QoS-sensitive computing customizable heterogeneous acceleration heterogeneous acceleration heterogeneous manycore systems high-level design principles high-performance computing innovative architecture medium-end CPU multicore processors power-efficient high-performance computing reconfigurable hardware regions Acceleration computer architecture Field programmable gate arrays Hardware Program processors Quality of service Registers Field programmable gate arrays high performance computing Quality of service power aware computing Program processors Multiprocessing systems network-on-chip computer architecture Registers acceleration PARALLEL PROCESSING (computerS) Multi-core processors computer hardware Graphics Processing Unit

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Optimizing Green Energy Consumption of Fog computing architectures 32

Optimizing Green Energy Consumption of Fog Computing Archite...

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32nd ieee international symposium on computer architecture and high-performance computing (SBAC-PAD) / 11th Workshop on Applications for Multi-Core architectures (WAMCA)

作者： Gougeon, Adrien Camus, Benjamin Orgerie, Anne-Cecile Univ Rennes INRIA CNRS IRISAENS Rennes Rennes France

ISBN: (纸本)9781728199245

The Cloud already represents an important part of the global energy consumption, and this consumption keeps increasing. Many solutions have been investigated to increase its energy efficiency and to reduce its environmental impact. However, with the introduction of new requirements, notably in terms of latency, an architecture complementary to the Cloud is emerging: the Fog. The Fog computing paradigm represents a distributed architecture closer to the end-user. Its necessity and feasibility keep being demonstrated in recent works. However, its impact on energy consumption is often neglected and the integration of renewable energy has not been considered yet. The goal of this work is to exhibit an energy-efficient Fog architecture considering the integration of renewable energy. We explore three resource allocation algorithms and three consolidation policies. Our simulation results, based on real traces, show that the intrinsic low computing capability of the nodes in a Fog context makes it harder to exploit renewable energy. In addition, the share of the consumption from the communication network between the computing resources increases in this context, and the communication devices are even harder to power through renewable sources.

关键词： Fog computing Job scheduling Renewable energy

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A Cloud-Based Batch Processing System for Loosely-Coupled Applications 33

A Cloud-Based Batch Processing System for Loosely-Coupled Ap...

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33rd ieee international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Smaneoto, Raoni Matos Pereira, Thiago Emmanuel Brasileiro, Francisco Vilar Univ Fed Campina Grande Dept Comp & Syst Campina Grande Paraiba Brazil

ISBN: (纸本)9781665417303

With the increased amount of data available for processing, and the increased need of processing this data, loosely-coupled batch applications have become very popular. Many batch applications require a high level of processing capacity, which leads us to the need of high performance computing infrastructures. This approach has been used for a long time, mainly for scientific purposes, and focused on the conventional environments for HPC, namely local clusters and supercomputers. The high-speed networks present in these systems are paramount for the execution of tightly-coupled scientific applications, but are wasted when executing loosely-coupled applications. Cloud infrastructures, on the other hand, provide a more appropriate infrastructure to support such loosely-coupled applications. Unfortunately, the user experience in cloud systems is completely different from that of conventional batch systems, mainly because the infrastructure needs to be deployed and subsequently released, to achieve the desired gains. In this paper we propose the architecture of a batch processing system that takes advantage of common features of cloud infrastructures to minimize cost and waiting time, while providing a user experience that is similar to conventional HPC systems.

关键词： Batch cloud computing high performance computing user experience

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Infrastructure, requirements and applications for e-Science 14

Infrastructure, requirements and applications for e-Science

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14th symposium on computer architecture and high performance computing

作者： Perrott, R Queens Univ Belfast Sch Comp Sci Belfast Antrim North Ireland

Recent developments in the international arena has meant the technology is now mature enough to bring together those required for the implementation of a grid computing facility. This paper examines the requirements a... 详细信息

ISBN: (纸本)0769517722

关键词： grid computing distributed and parallel computing eScience

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Fast LH

Fast LH

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25th international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Chabkinian, Juan Schwarz, Thomas Univ Catolica Uruguay Montevideo Uruguay

ISBN: (纸本)9781479929276

Linear Hashing is a widely used and efficient version of extensible hashing. A distributed version of Linear Hashing is LH* that stores key-indexed records on up to hundreds of thousands of sites in a distributed system. LH* implements the dictionary data structure efficiently since it does not use a central component for the key-based operations of insertion, deletion, actualization, and retrieval and for the scan operation. LH* allows a client or a server to commit an addressing error by sending a request to the wrong server. In this case, the server forwards to the correct server directly or in one more forward operation. We discuss here methods to avoid the double forward, which is rare but might breach quality of service guarantees. We compare our methods with LH* P2P that pushes information about changes in the file structure to clients, whether they are active or not.

关键词： Scalable Distributed Data Structure Linear Hashing LH Cloud computing

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Flexible high-performance access to distributed storage resources 9

Flexible high-performance access to distributed storage reso...

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9th ieee international symposium on high performance Distributed computing

作者： Patten, CJ Hawick, KA Univ Adelaide Dept Comp Sci Distributed & High Performance Comp Grp Adelaide SA 5005 Australia

ISBN: (纸本)0769507840

We describe a software architecture for storage services in computational grid environments. Based upon a lightweight message-passing paradigm, the architecture enables the provision and composition of active, distributed storage services. These services can then cooperatively provide access to distributed storage in a manner potentially optimized for dataset and resource environments. We report on the design and implementation of a distributed file system and a dataset-specific satellite imagery service using the architecture. We discuss data movement and storage issues and implications for future work with the architecture.

关键词： computer architecture Distributed computing File servers File systems Grid computing Memory Network servers Peer to peer computing Prefetching Satellites

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