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检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

共 1767 条记录，以下是151-160 订阅

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Shelf schedules for independent moldable tasks to minimize the energy consumption 33

Shelf schedules for independent moldable tasks to minimize t...

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

作者： Benoit, Anne Canon, Louis-Claude Elghazi, Redouane Heam, Pierre-Cyrille ENS Lyon LIP Lyon France Univ Bourgogne Franche Comte FEMTO ST Inst CNRS Besancon France

ISBN: (纸本)9781665443012

Scheduling independent tasks on a parallel platform is a widely-studied problem, in particular when the goal is to minimize the total execution time, or makespan (P parallel to C-max problem in Graham's notations). Also, many applications do not consist of sequential tasks, but rather parallel moldable tasks that can decide their degree of parallelism at execution (i.e., on how many processors they are executed). Furthermore, since the energy consumption of data centers is a growing concern, both from an environmental and economical point of view, minimizing the energy consumption of a schedule is a main challenge to be addressed. One can then decide, for each task, on how many processors it is executed, and at which speed the processors are operated, with the goal to minimize the total energy consumption. We further focus on co-schedules, where tasks are partitioned into shelves, and we prove that the problem of minimizing the energy consumption remains NP-complete when static energy is consumed during the whole duration of the application. We are however able to provide an optimal algorithm for the schedule within one shelf, i.e., for a set of tasks that start at the same time. Several approximation results are derived, and simulations are performed to show the performance of the proposed algorithms.

关键词： Energy consumption Schedules Program processors Costs high performance computing Parallel processing Approximation algorithms

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An efficient practical concurrent wait-free unbounded graph 21

An efficient practical concurrent wait-free unbounded graph

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21st IEEE international Conference on high performance computing and Communications, 17th IEEE international Conference on Smart City and 5th IEEE international Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Peri, Sathya Reddy, Chandra Kiran Sa, Muktikanta Department of Computer Science and Engineering Indian Institute of Technology Hyderabad India

ISBN: (纸本)9781728120584

In this paper, we propose an efficient concurrent wait-free algorithm to construct an unbounded directed graph for shared memory architecture. To the best of our knowledge that this is the first wait-free algorithm for an unbounded directed graph where insertion and deletion of vertices and/or edges can happen concurrently. To achieve wait-freedom in a dynamic setting, threads help each other to perform the desired tasks using operator descriptors by other threads. We also prove that all graph operations are wait-free and linearizable. We implemented our algorithms in C++ and tested its performance through several micro-benchmarks. Our experimental results show an average of 9x improvement over the global lock-based implementation. © 2019 IEEE.

关键词： Directed graphs

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WiDGET: Wisconsin Decoupled Grid Execution Tiles 10

WiDGET: Wisconsin Decoupled Grid Execution Tiles

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37th international symposium on computer architecture

作者： Watanabe, Yasuko Davis, John D. Wood, David A. Univ Wisconsin Dept Comp Sci Madison WI 53706 USA

ISBN: (纸本)9781450300520

The recent paradigm shift to multi-core systems results in high system throughput within a specified power budget. However, future systems still require good single thread performance no longer the predominant design priority to mitigate sequential bottlenecks and/or to guarantee service-level agreements. Unfortunately, near saturation in voltage scaling necessitates a long-term alternative to dynamic voltage and frequency scaling. We propose an energy-proportional computing infrastructure, called WiDGET, that decouples thread context management from a sea of simple execution units (EUs). WiDGET's decoupled design provides flexibility to alter resource allocation for a particular power-performance target while turning off unallocated resources. In other words, WiDGET enables dynamic customization of different combinations of small and/or powerful cores on a single chip, consuming power in proportion to the delivered performance. Over all SPEC CPU2006 benchmarks, WiDGET provides average per-thread performance that is 26% better than a Xeon-like processor while using 8% less power. WiDGET can also scale down to a level comparable to an Atom-like processor, turning off resources to reduce average power by 58%. WiDGET achieves high power efficiency (BIPS3/W), exceeding Xeon-like and Atom-like processors by up to 2x and 21x, respectively.

关键词： Power proportional computing power efficiency hardware performance instruction steering

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A cost-effective, high bandwidth server I/O network architecture for cluster systems

A cost-effective, high bandwidth server I/O network architec...

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21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Chen, Hsing-Bung Grider, Gary Fields, Parks Los Alamos National Labs. Los Alamos NM 87545 United States

ISBN: (纸本)1424409101

In this paper we present a cost-effective, high bandwidth server I/O network architecture, named PaScal (Parallel and Scalable). We use the PaScal server I/O network to support data-intensive scientific applications running on very large-scale Linux clusters. PaScal server I/O network architecture provides (1) bi-level data transfer network by combining high speed interconnects for computing Inter-Process Communication (IPC) requirements and low-cost Gigabit Ethernet interconnect for global IP based storage/file access, (2) bandwidth on demand I/O network architecture without re-wiring and reconfiguring the system, (3) Multi-path routing scheme, (4) reliability improvement through reducing large number of network components in server I/O network, and (5) global storage/file systems support in heterogeneous multi-cluster and Grids environments. We have compared the PaScal server I/O network architecture with the Federated server I/O network architecture (FESIO). Concurrent MPI-I/O performance testing results and deployment cost comparison demonstrate that the PaScal server I/O network architecture can outperform the FESIO network architecture in many categories: cost-effectiveness, scalability, and manageability and ease of large-scale I/O network. ©2007 IEEE.

关键词： Network architecture

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An offloading strategy based on cloud and edge computing for industrial internet 21

An offloading strategy based on cloud and edge computing for...

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作者： Yang, Lei Dai, Zhennan Li, Kenli College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728120584

With the proliferation in the number of devices involved in Industrial Internet, it is becoming more and more difficult to meet simultaneously the requirements of industrial applications in terms of latency and economy only using traditional cloud computing paradigm. Edge computing paradigm can make up for this problem to a certain extent with constrained resources. In this paper, an integrated architecture is proposed, which can allow industrial devices to offload tasks to cloud or edge servers. Subsequently, an offloading strategy called ASO is also proposed based on this integrated architecture. The strategy, aiming at minimizing the energy consumption generated by industrial devices and cloud computing costs under the deadline constraints of industrial applications, consists of three sub-algorithms. First, a subdeadline is assigned to each task using a directed acyclic graph of the industrial application through subdeadline allocation algorithm. Then, tasks are topologically sorted to ensure the order of execution through topology sorting algorithm. Finally, a computing server is assigned to each task through task offloading algorithm. Experimental results demonstrate that compared with several baseline and heuristic algorithms, the proposed strategy can effectively reduce the energy consumption of industrial devices and cloud computing costs. © 2019 IEEE.

关键词： Multiobjective optimization

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Towards large-scale sparse matrix-vector multiplication on the SW26010 manycore architecture 21

Towards large-scale sparse matrix-vector multiplication on t...

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作者： Chen, Yuedan Xiao, Guoqing Wu, Fan Tang, Zhuo College of Computer Science and Electronic Engineering Hunan University Changsha Hunan410082 China National Supercomputing Center in Changsha Changsha Hunan410082 China David R. Cheriton School of Computer Science University of Waterloo WaterlooONN2L 3G1 Canada

ISBN: (纸本)9781728120584

Sparse matrix-vector multiplication (SpMV) is one of the important subroutines in numerical linear algebra widely used in plenty of large-scale applications. This paper focuses on scaling and optimizing SpMV for large-scale applications based on the memory structure and computing architecture of SW26010 CPU of the Sunway TaihuLight supercomputer. We propose the large-scale SpMV on the Sunway TaihuLight that includes two parts, i.e., the parallel partial (Compressed Sparse Row) CSR-based SpMV part and the parallel accumulation part. We respectively propose the adaptive partitioning methods and parallelization designs for the two parts of the large-scale SpMV based on the SW26010 architecture. The experimental results prove that the large-scale SpMV achieves high efficiency and good scalability on the Sunway TaihuLight. © 2019 IEEE.

关键词： Supercomputers

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Using reversible computation techniques in a parallel optimistic simulation of a multi-processor computing system 07

Using reversible computation techniques in a parallel optimi...

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21st international Workshop on Principles of Advanced and Distributed Simulation (PADS 2007)

作者： Naborskyy, Andriy Fujimoto, Richard M. Georgia Inst Technol Coll Comp Atlanta GA 30332 USA

ISBN: (纸本)9780769528984

A study is presented in applying optimistic parallel discrete event simulation techniques using reverse execution to perform instruction-level simulations of distributed memory multi-processor systems. A static program analysis approach is described to optimize pre-processed simulated applications in order to remove certain overheads associated with forward event execution and to enable reversible execution. Reverse execution of floating point operations are also considered. Preliminary performance measurements are presented indicating this approach offers promise in speeding up parallel multi-processor simulations.

关键词： Concurrent computing Computational modeling Discrete event simulation computer aided instruction Analytical models Distributed computing performance analysis Multiprocessing systems high level languages computer simulation

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21st international symposium on Fault-Tolerant computing

21st International Symposium on Fault-Tolerant Computing

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21st international symposium on Fault-Tolerant computing

ISBN: (纸本)0818621508

This conference proceedings contains 60 papers. The following topics are dealt with: failures in real systems;test generation;system architecture;signature analysis;fault analysis and self checking;hypercube architectures;system diagnosis;software techniques;multiprocessor systems;control flow monitoring;distributed systems;error control and coding;experimental software validation;reconfiguration strategies;and real-time systems.

关键词： computer Systems, Digital

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The stratus architecture

The Stratus architecture

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21st international symposium on Fault-Tolerant computing

作者： Webber, steve Beirne, John Stratus Computer Inc

ISBN: (纸本)0818621508

An overview is given of the architecture of the stratus fault-tolerant computer systems, which were the first to use hardware alone to provide fault tolerance in the commercial marketplace. The power subsystem, system boards, and off-board I/O interface buses are examined in some detail. Recovery scenarios and the stratus service approach are described.

关键词： computer Systems, Digital

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Predicting the effect on performance of container-managed persistence in a distributed enterprise application

Predicting the effect on performance of container-managed pe...

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21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Bacigalupo, David A. Xue, James W. J. Hammond, Simon D. Jarvis, stephen A. Dillenberger, Donna N. Nudd, Graham R. High Performance Systems Group Department of Computer Science University of Warwick Coventry CV4 7AL United Kingdom IBM T.J. Watson Research Centre Yorktown Heights NY 10598 United States

ISBN: (纸本)1424409101

Container-managed persistence is an essential technology as it dramatically simplifies the implementation of enterprise data access. However it can also impose a significant overhead on the performance of the application at runtime. This paper presents a layered queuing performance model for predicting the effect of adding or removing container-managed persistence to a distributed enterprise application, in terms of response time and throughput performance metrics. Predictions can then be made for new server architectures - that is, server architectures for which only a small number of measurements have been made (e.g. to determine request processing speed). An experimental analysis of the model is conducted on a popular enterprise computing architecture based on IBM Websphere, using Enterprise Java Bean-based container-managed persistence as the middleware functionality. The results provide strong experimental evidence for the effectiveness of the model in terms of the accuracy of predictions, the speed with which predictions can be made and the low overhead at which the model can be rapidly parameterised. © 2007 IEEE.

关键词： Distributed computer systems

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