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

共 1770 条记录，以下是161-170 订阅

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On the role of deterministic fine-grain data synchronization for scientific applications: A revisit in the emerging many-core era

On the role of deterministic fine-grain data synchronization...

引用

21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Zhu, Weirong Hu, Ziang Gao, Guang R. Department of Electrical and Computer Engineering University of Delaware Newark DE 19716 United States

ISBN: (纸本)1424409101

The design of microprocessor chip for high-end computing systems is moving towards many-core architectures with 10s or 100+ processing units. An important class of the target applications for such architectures are scientific numerical computations, many of which are intrinsically deterministic - that is for a given input a fixed output (result) should be produced no matter how the program is parallelized. It is critical that the read-after-write data dependencies in such programs should be implemented correctly and efficiently via fine-grain data synchronization. In this paper, we investigate the parallelization of three representative scientific computation kernels using fine-grain data synchronization supported by an recently proposed architectural mechanism for many-core chips, called Synchronization state Buffer (SSB) [25]. Using detailed simulation on a simulator for the IBM 160-core Cyclops-64 chip architecture with the SSB extension, our experiments demonstrate significant performance advantage of using fine-grain data synchronization based parallelization schemes for scientific workloads. © 2007 IEEE.

关键词： Natural sciences computing

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SwCPD: Optimizing canonical polyadic decomposition on sunway manycore architecture 21

SwCPD: Optimizing canonical polyadic decomposition on sunway...

引用

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： Dun, Ming Li, Yunchun Yang, Hailong Li, Wei Luan, Zhongzhi Qian, Depei School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781728120584

Canonical Polyadic Decomposition (CPD) is one of the most popular methods in tensor decomposition and plays an important role in big data analysis. For sparse tensor, the major computation procedure in CPD, known as matricized tensor times Khatri-Rao product (MTTKRP), exhibits discontiguous memory access and becomes the performance bottleneck from achieving high performance on emerging processor architectures. In this paper, we propose swCPD, an efficient CPD implementation on the many-core Sunway architecture. The main idea adopted in swCPD is a hierarchical partitioning mechanism. From the computation perspective, the 64 CPEs are divided into eight groups, each group contains seven workers and one controller. From the data perspective, we partition the sparse tensor into different granularities including blocks, bands and tiles. Moreover, we develop a communication mechanism through register communication for cooperation between CPEs. We evaluate our implementation with both synthesized and real-world datasets, which achieves better performance than two cutting-edge CPD implementations. © 2019 IEEE.

关键词： Tensors

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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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Real-time depth estimation with an optimized encoder-decoder architecture on embedded devices 21

Real-time depth estimation with an optimized encoder-decoder...

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作者： Tu, Xiaohan Xu, Cheng Liu, Siping Xie, Guoqi Li, Renfa Key Laboratory for Embedded and Network Computing of Hunan Province China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China

ISBN: (纸本)9781728120584

As a strategy to obtain dense depth maps from a single image, sparse depths, or the fusion of both (RGBd), depth estimation receives much attention. Usually relying on high-performance workstations, existing depth prediction methods, are not particularly suitable for embedded devices. Moreover, the accuracy of depth estimation needs to be improved. Towards real-time and reliable depth prediction on portable embedded platforms, we propose an encoder-decoder architecture (EDA). Specifically, these are the three contributions of this work. (1) We present a light-weight encoder, which takes three modalities of data as inputs, namely, RGB images, sparse depths, or RGBd. The encoder is efficient to extract features on portable devices. (2) A novel decoder is designed to obtain accurate and high-resolution depth maps. (3) We use the existing TVM to deploy, compile, and optimize EDA on embedded platforms, for further improvements in the computational speed and power of depth estimation. In real scenarios, the optimized EDA achieves remarkable results with low latency. Through extensive experimental evaluation on two public datasets, we show that the optimized EDA outperforms the state of the arts in accuracy and computational resources. To the best of our knowledge, this is the first paper that provides an efficient encoder, learnable decoder, and end-to-end optimized encoder-decoder architecture for precise depth prediction. © 2019 IEEE.

关键词： Forecasting

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DeltaNC: Efficient File Updates for Network-Coding-Based Cloud storage Systems

DeltaNC: Efficient File Updates for Network-Coding-Based Clo...

引用

IEEE 21st Annual international symposium on Modeling, Analysis and Simulation of computer and Telecommunication (MASCOTS)

作者： Zakerinasab, Mohammad Reza Wang, Mea Univ Calgary Dept Comp Sci Calgary AB T2N 1N4 Canada

ISBN: (纸本)9780769551029

In recent years, cloud storage systems have emerged as the primary solution for online storage and information sharing. Due to efficient storage and bandwidth utilization, the use of erasure codes and network coding is proven to effectively provide fault tolerance and fast content retrieval in cloud storage systems. In a nutshell, coded blocks are distributed among storage nodes, and file retrieval is accomplished by downloading sufficient coded blocks from any group of storage nodes. However, due to high correlation between coded blocks and the original file, even a single-byte update invalidates all coded blocks in the system. In this paper, we introduce DeltaNC, a new differential update algorithm that keeps all coded blocks in a network-coding-based cloud storage system synchronized by transmitting only the changes in the file. Our experimental results, from a trace-driven simulator, show that DeltaNC significantly reduces the bandwidth and CPU usage and its performance is comparable to that offered by the Diff program, the common tool for updating files.

关键词： cloud computing storage system network coding

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A peer-to-peer infrastructure for autonomous grid monitoring

A peer-to-peer infrastructure for autonomous grid monitoring

引用

21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Baduel, Laurent Matsuoka, Satoshi Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo 152-8552 Japan

ISBN: (纸本)1424409101

Modern grids have become very complex by their size and their heterogeneity. It makes the deployment and maintenance of systems a difficult task requiring lots of efforts from administrators and programmers. Our goal is to investigate the concepts that underlie autonomic computing systems, especially for grid environment. We believe that peer-to-peer overlay networks are a valuable basis to support some of the main issues of autonomic computing in the particular case of grids. This article presents the construction of an autonomous, decentralized, scalable, and efficient grid monitoring system. The components of this application negotiate through a peer-to-peer network in order to provide autonomic behaviors and exchange data. We present a solution based on a gossip broadcast protocol upon a hierarchical, directed, and acyclic graph to rapidly diffuse information in the system while limiting the number of messages. The software architecture is detailed, and then the first results of its performance are presented and analyzed. © 2007 IEEE.

关键词： Distributed computer systems

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OBIGrid: Towards a new distributed platform for bioinformatics

OBIGrid: Towards a new distributed platform for bioinformati...

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21st IEEE symposium on Reliable Distributed Systems

作者： Konagaya, A Japan Adv Inst Sci & Technol Grad Sch Knowledge Sci Tatsunokuchi Ishikawa 9231292 Japan

ISBN: (纸本)0769516599

This paper describes the design philosophy for the Grid system being developed by Japan Committee on high-performance computing for Bioinformatics and Initiative for Parallel Bioinformatics (IPAB). Grid is one of attractive solutions to achieve distributed bioinformtics environment with high performance parallel computers, large genomic databases, computation intensive applications such as homology search and molecular simulation. However, much has been remained in Grid system design especially in the wide area network environment. OBIGrid emphasizes the virtual organization aspect of the Grid system and gives more priority on security and scalability rather than performance.

关键词： Distributed computer systems

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Superpixel Accelerator for computer Vision Applications on Arria 10 SoC 21

Superpixel Accelerator for Computer Vision Applications on A...

引用

21st IEEE international symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)

作者： Akagic, Amila Buza, Emir Turcinhodzic, Razija Haseljic, Hana Noda, Hiroyuki Amano, Hideharu Univ Sarajevo Fac Elect Engn Dept Comp Sci & Informat Sarajevo Bosnia & Herceg Keio Univ Sch Sci & Technol Dept Informat & Comp Sci Tokyo Japan

ISBN: (纸本)9781538657546

Superpixel segmentation is a very popular image segmentation technique used in various computer vision tasks. Recently, a number of superpixel algorithms have been proposed in literature. One such algorithm is considered as the-state-of-the-art in superpixel segmentation: Simple Linear Iterative Clustering or SLIC. However, its original implementation has a long execution time on high performance processors designed within the common mobile and enterprise applications, as well on high-end processors such as Intel Xeon. Overall, the execution time for single-threaded implementation is considered critical for real-time or near real-time applications. In this paper, we explore the possibility of accelerating parts of the SLIC image segmentation critical for performance, by designing the image segmentation accelerator for Intel's Arria 10 SoC. We propose a novel architecture to enable hardware acceleration by addressing the problem of hardware/software partitioning to minimize the overall program latency.

关键词： Image segmentation Clustering algorithms Image color analysis Task analysis computer vision Real-time systems Visualization

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A study of publish/subscribe systems for real-time grid monitoring

A study of publish/subscribe systems for real-time grid moni...

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21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Huang, Chenxi Hobson, Peter R. Taylor, Gareth A. Kyberd, Paul School of Engineering and Design Brunel University Uxbridge United Kingdom

ISBN: (纸本)1424409101

Monitoring and controlling a large number of geographically distributed scientific instruments is a challenging task. Some operations on these instruments require real-time (or quasi real-time) response which make it even more difficult In this paper, we describe the requirements of distributed monitoring for a possible future Electrical Power Grid based on real-time extensions to Grid computing. We examine several standards and publish/subscribe middleware candidates, some of which were specially designed and developed for Grid monitoring. We analyze their architecture and functionality, and discuss the advantages and disadvantages. We report on a series of tests to measure their real-time performance and scalability. © 2007 IEEE.

关键词： Natural sciences computing

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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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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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