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检索条件"任意字段=IEEE International Workshop on Multi-/Many-core Computing Systems"

共 974 条记录，以下是901-910 订阅

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A characterization of shared data access patterns in UPC programs

A characterization of shared data access patterns in UPC pro...

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19th international workshop on Languages and Compilers for Parallel computing, LCPC 2006

作者： Barton, Christopher Caşcaval, CǍlin Amaral, José Nelson Department of Computing Science University of Alberta Edmonton Canada IBM T.J. Watson Research Center Yorktown Heights NY 10598 United States

ISBN: (纸本)3540725202

The main attraction of Partitioned Global Address Space (PGAS) languages to programmers is the ability to distribute the data to exploit the affinity of threads within shared-memory domains. Thus, PGAS languages, such as Unified Parallel C (UPC), are a promising programming paradigm for emerging parallel machines that employ hierarchical data- and task-parallelism. For example, large systems are built as distributed-shared memory architectures, where multi-core nodes access a local, coherent address space and many such nodes are interconnected in a non-coherent address space to form a high-performance system. This paper studies the access patterns of shared data in UPC programs. By analyzing the access patterns of shared data in UPC we are able to make three major observations about the characteristics of programs written in a PGAS programming model: (i) there is strong evidence to support the development of automatic identification and automatic privatization of local shared data accesses;(ii) the ability for the programmer to specify how shared data is distributed among the executing threads can result in significant performance improvements;(iii) running UPC programs on a hybrid architecture will significantly increase the opportunities for automatic privatization of local shared data accesses. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Computer programming languages

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How to obtain fair managerial decisions in sugar cane harvest using NSGA-II

How to obtain fair managerial decisions in sugar cane harves...

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7th international Conference on Hybrid Intelligent systems, HIS 2007

作者： Pacheco, Diogo Ferreira Lucas, Tarcísio Daniel P. De Lima Neto, Fernando B. Department of Computing Systems Polytechnic School of Engineering Pernambuco State University Recife-PE Brazil

ISBN: (纸本)0769529461

The world's demand for sugar and particularly for renewable fuels such as ethanol requires an increase in production in sugar mills. The use of artificial neural networks (ANN) posed as a predictive core associated with the algorithm NSGA-II aims at helping decision makers to optimize the multi-objective harvest problem. This paper presents two approaches and the good results achieved as compared with other classical techniques. © 2007 ieee.

关键词： Sugar cane

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Experimental Evaluation of Emerging multi-core Architectures

Experimental Evaluation of Emerging Multi-core Architectures

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international Symposium on Parallel and Distributed Processing (IPDPS)

作者： Abdullah Kayi Yiyi Yao Tarek El-Ghazawi Greg Newby Department of Electrical and Computer Engineering George Washington University Washington D.C. DC USA Arctic Region Supercomputing Center Fairbanks AK USA

The trend of increasing speed and complexity in the single-core processor as stated in the Moore's law is facing practical challenges. As a result, the multi-core processor architecture has emerged as the dominant architecture for both desktop and high-performance systems. multi-core systems introduce many challenges that need to be addressed to achieve the best performance. Therefore, a new set of benchmarking techniques to study the impacts of the multi-core technologies is necessary. In this paper, multi-core specific performance metrics for cache coherency and memory bandwidth/latency/contention are investigated. This study also proposes a new benchmarking suite which includes cases extended from the high performance computing challenge (HPCC) benchmark suite. Performance results are measured on a Sun Fire T1000 server with six cores and an AMD Opteron dual core system. Experimental analysis and observations in this paper provide for a better understanding of the emerging multi-core architectures.

关键词： Measurement Computer architecture Bandwidth Delay multicore processing System performance Arctic Moore's Law High performance computing Sun

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On the Path to Enable multi-scale Biomolecular Simulations on PetaFLOPS Supercomputer with multi-core Processors

On the Path to Enable Multi-scale Biomolecular Simulations o...

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international Symposium on Parallel and Distributed Processing (IPDPS)

作者： Sadaf R. Alam Pratul K. Agarwal Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN USA

Biological processes occurring inside cell involve multiple scales of time and length; many popular theoretical and computational multi-scale techniques utilize biomolecular simulations based on molecular dynamics. Till recently, the computing power required for simulating the relevant scales was even beyond the reach of fastest supercomputers. The availability of petaFLOPS-scale computing power in near future holds great promise. Unfortunately, the bio-simulations software technology has not kept up with the changes in hardware. In particular, with the introduction of multi-core processing technologies in systems with tens of thousands of processing cores, it is unclear whether the existing biomolecular simulation frameworks will be able to scale and to utilize these resources effectively. While the multi-core processing systems provide higher processing capabilities, their memory and IO subsystems are posing new challenges to application and system software developers. In this preliminary study, we attempt to characterize computation, communication and memory efficiencies of bio-molecular simulations on a Cray XT3 system, which has recently been upgraded to dual-core Opteron processors. We identify that the application efficiencies using the multi-core processors reduce with the increase of the simulated system size. Further, we measure the communication overhead of using both cores in the processor simultaneously and identify that the MPI communication performance can be as low as 50% as compared to the single-core execution times. We conclude that not only the biomolecular simulations need to be aware of the underlying multi-core hardware in order to achieve maximum performance but also the system software needs to provide processor and memory placement features in the high-end systems. Our results on a stand-alone dual-core AMD system confirm that combinations of processor and memory affinity schemes can result in over 12% performance gains.

关键词： Supercomputers multicore processing Computational modeling Biological system modeling Biology computing Hardware Application software System software Biological processes Cells (biology)

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Using Formal Ontology Representation and Alignment Strategies to Enhance Resource Integration in multi Vendor Autonomic Environments

Using Formal Ontology Representation and Alignment Strategie...

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ieee workshop on Engineering of Autonomic and Autonomous systems (EASE)

作者： Karin Breitman Marcelo Perazolo Pontifίcia Universidade Católica do Rio de Janeiro Brazil IBM Corporation USA

The success of the autonomic computing vision [KephartO3] relies in its capacity of correlating heterogeneous resources such as databases, switches, routers, server systems, load balancers, Web servers and/or application servers are just a few possibilities of resources that coexist in a data center today. These resources are provided by multiple vendors, and consequently implement different manageability interfaces. This multiplicity of resources also requires an ecosystem of multiple different management applications, delivered by a number of different management application vendors. many of these vendors are now re-engineering their management infrastructure to become more autonomic and achieve the inherent value associated to a more independent management solution. Unfortunately many of the existing autonomic capabilities today are point solutions that are not easily integrated in a multi-vendor environment, nor emphasize the necessary collaboration. A true multi-vendor autonomic solution would enable the sharing and reuse of management information between heterogeneous management applications. In this paper we argue in favor of formalizing resource representations in a way that allows for automatic negotiation and integration of heterogeneous resources. We propose the use of formal ontology as a conceptual model in which to represent IT resources and present CATO, an ontology integration engine developed to provide semantic interoperability among resources in a heterogeneous environment

关键词： Ontologies Resource management Information management Computer vision Databases Switches Web server Ecosystems Collaboration Engines

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multi-dimensional dynamic loop scheduling algorithms

Multi-dimensional dynamic loop scheduling algorithms

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ieee international Conference on Cluster computing

作者： Anthony T. Chronopoulos Lionel M. Ni Satish Penmatsa Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China Department of Computer Science University of Texas San Antonio San Antonio TX USA

Distributed computing systems are a viable and less expensive alternative to parallel computers. However, a serious difficulty in concurrent programming of a distributed system is how to deal with scheduling and load balancing of such a system which may consist of heterogeneous computers. Loop scheduling schemes for parallel computers and computer clusters have been proposed in the past. All these schemes are one-dimensional because they partition only the outermost loop of a nested loop construct. In this work, we consider scheduling nested loops with many dimensions. We propose a new methodology which partitions many levels (or dimensions) of nested loops. These new schemes show superior performance over the existing schemes. We implement our new schemes on a network of computers and make performance comparisons with other existing schemes. We expect the new schemes to be particularly useful for multi-core systems because of the fine granularity of the generated tasks.

关键词： Processor scheduling Program processors Indexes Dynamic scheduling Computers Load management Topology

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Human-Centered computing: Challenges and Perspectives

Human-Centered Computing: Challenges and Perspectives

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international Conference on Data Engineering workshops

作者： Nicu Sebe Intelligent Systems Lab Amsterdam Faculty of Science University of Amsterdam Amsterdam Netherlands

computing is at one of its most exciting moments in history, playing an essential role in supporting many important human activities. The explosion in the availability of information in various media forms and through multiple sensors and devices means, on one hand, that the amount of data we can collect will continue to increase dramatically, and, on the other hand, that we need to develop new paradigms to search, organize, and integrate such information to support all human activities. Human centered computing (HCC) is an emerging field that aims at bridging the existing gaps between the various disciplines involved with the design and implementation of computing systems that support people's activities. HCC aims at tightly integrating human sciences (e.g. social and cognitive) and computer science (e.g. human-computer interaction (HO), signal processing, machine learning, and ubiquitous computing) for the design of computing systems with a human focus from beginning to end. This focus should consider the personal, social, and cultural contexts in which such systems are deployed. Beyond being a meeting place for existing disciplines, HCC also aims at radically changing computing with new methodologies to design and build systems that support and enrich people's lives. In this presentation, we discuss the existing challenges in HCC and describe what we consider to be the three main areas of interest: media production, analysis, and interaction. In addition, we identify the core characteristics of HCC, describe example *** propose a research agenda for HCC.

关键词： Human computer interaction Pervasive computing History Explosions Computer science Signal processing Machine learning Ubiquitous computing Signal design Cultural differences

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multi-threading elliptic curve cryptosystems

Multi-threading elliptic curve cryptosystems

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ieee international Conference on Telecommunications and Malaysia Communications (ICT-MICC)

作者： Uma S. Kanniah Azman Samsudin School of Computer Sciences Universiti Sains Islam Malaysia Penang Malaysia

Elliptic Curve Cryptosystems (ECC) is being widely used in cryptographic systems due to its unique security features. In many cases, ECC had also been crafted onto specialized processor for performance reason. However, building a specialized ECC processor is not only time consuming but also costly. Therefore, from the cost-effectiveness point of view, the software approach of ECC in a multiprocessing environment is indeed more attractive, especially with the recent development in multi-core processors. The main objective of this research is therefore to implement identified parallel mathematical algorithms in multi-threading environment to support the development of ECC in software. Two parallel mathematical algorithms, Karatsuba and Montgomery, are incorporated and tested for point multiplication in Elliptic Curve (EC) algorithm to achieve high performance in execution for on-the-shelf multi-core architecture processors.

关键词： Elliptic curve cryptography Elliptic curves Public key cryptography Communication system security Computer architecture Smart cards Hardware Galois fields Equations Telecommunication computing

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Interconnect-Centric computing

Interconnect-Centric Computing

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ieee Symposium on High-Performance Computer Architecture

作者： William J. Dally Bell Professor and Chairman of Computer Science University of Stanford USA

Summary form only given. As we enter the many-core era, the interconnection networks of a computer system, rather than the processor or memory modules, will dominate its performance. Several recent developments in interconnection network architecture including global adaptive routing, high-radix routers, and technology-matched topologies offer large improvements in the performance and efficiency of this critical component. The implementation of a portion of several interconnection networks on multi-core chips also raises new opportunities and challenges for network design. This talk explores the role of interconnection networks in modern computer systems, recent developments in network architecture and design, and the challenges of on-chip interconnection networks. Examples will be drawn from several systems including the Cray BlackWidow

关键词： multiprocessor interconnection networks Computer architecture Computer networks Routing Concurrent computing Computer science Commercialization Network topology System-on-a-chip Network-on-a-chip

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Handling Datasets in a multi-Relational Environment: Cluster Dispersion vs Cluster Purity

Handling Datasets in a Multi-Relational Environment: Cluster...

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ieee international workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Rayner Alfred Dimitar Kazakov SEIT Universiti Malaysia Sabah Kota Kinabalu Sabah Malaysia York University York UK

Clustering multiple-instances in a multi-relational environment requires data transformations (e.g. data aggregation) from datasets stored in multiple tables into a single table. Unfortunately, most relational databases are limited to a few basic methods of aggregation (e.g. max, min, sum, count, ave) to aggregate continuous and categorical values. Therefore, data transformation is limited only to aggregation of continuous and categorical values. In this paper, to get the best number of clusters, we propose a genetic semi-supervised clustering technique as a means of aggregating data stored in multiple tables. This algorithm is suitable for classification of datasets with a high degree of one-to-many associations, in which a single record has multiple instances that are associated with it. The clustering algorithm can be used in two ways. One is the unsupervised clustering, where the user may control the result of clustering by optimizing the value of cluster dispersion. The other is a semi-supervised clustering, where the user uses an unsupervised clustering method optimized with a genetic algorithm incorporating a measure of classification accuracy used in decision tree algorithm, the GINI index. In this paper, we examine both methods to dynamically cluster multiple instances, as a means of aggregating them, and illustrate the effectiveness of the semi-supervised genetic algorithm-based clustering technique.

关键词： Relational databases Clustering algorithms Supervised learning Genetic algorithms Decision trees Conferences Data acquisition Aggregates Clustering methods Optimization methods

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