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检索条件"任意字段=PDSE 2000: International Symposium on Software Engineering for Parallel and Distributed Systems"

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Data mining on the grid for the grid

Data mining on the grid for the grid

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international symposium on parallel and distributed Processing (IPDPS)

作者： Nitesh V. Chawla Douglas Thain Ryan Lichtenwalter David A. Cieslak Department of Computer Science and Engineering University of Notre Dame USA

Both users and administrators of computing grids are presented with enormous challenges in debugging and troubleshooting. Diagnosing a problem with one application on one machine is hard enough, but diagnosing problems in workloads of millions of jobs running on thousands of machines is a problem of a new order of magnitude. Suppose that a user submits one million jobs to a grid, only to discover some time later that half of them have failed, Users of large scale systems need tools that describe the overall situation, indicating what problems are commonplace versus occasional, and which are deterministic versus random. Machine learning techniques can be used to debug these kinds of problems in large scale systems. We present a comprehensive framework from data to knowledge discovery as an important step towards achieving this vision.

关键词： Data mining Grid computing Large-scale systems Optical packet switching Switching circuits Testing Computer science Data engineering Debugging Application software

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Designing coprocessors for hybrid compute systems

Designing coprocessors for hybrid compute systems

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international symposium on parallel and distributed Processing (IPDPS)

作者： Volker Hampel Peter Sobe Erik Maehle Institute of Computer Engineering University of Lübeck Germany

A hybrid compute system (HCS) combines standard CPUs and reconfigurable devices, usually FPGAs, in one system. These systems have become more attractive again, due to a closer and hence faster coupling of both computational components. From our work with several designs for the same application, we have found the communication between a CPU and a FPGA-based coprocessor to relate either to pipelining or to a bulk-wise transfer with buffered data processing. We identify conditions which determine whether the pipelined or the buffered style should be used in a design. A Reed/Solomon encoding coprocessor has been implemented for each of the communication architectures to serve as an example of how these conditions materialize and how they influence the performance.

关键词： Coprocessors Field programmable gate arrays Matrix decomposition Acceleration Data processing Image coding Application software Bandwidth Design engineering Pipeline processing

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Understanding the performance of streaming applications deployed on hybrid systems

Understanding the performance of streaming applications depl...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Joseph Lancaster Ron Cytron Roger D. Chamberlain Department of Computer Science and Engineering Washington University Saint Louis USA

Significant performance gains have been reported by exploiting the specialized characteristics of hybrid computing architectures for a number of streaming applications. While it is straightforward to physically construct these hybrid systems, application development is often quite difficult. We have built an application development environment, Auto-Pipe, that targets streaming applications deployed on hybrid architectures. Here, we describe some of the current and future characteristics of the Auto-Pipe environment that facilitate an understanding of the performance of an application that is deployed on a hybrid system.

关键词： Streaming media Field programmable gate arrays Application software Computer architecture Graphics LAN interconnection Computer science Performance gain Acceleration Memory architecture

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A Generic Construction of Identity-Based Online/Offline Signcryption

A Generic Construction of Identity-Based Online/Offline Sign...

引用

international symposium on parallel and distributed Processing with Applications, ISPA

作者： Dongdong Sun Yi Mu Willy Susilo School of Computer Science and Software Engineering University of Wollongong Wollongong NSW Australia

Signcryption has clear advantage over traditional sign-then-encrypt schemes. However, the computational overhead for signcryption is still too heavy when it is applied to resource-constraint systems. In this paper, we propose a generic construction of the identity-based online/offline signcryption, where most of computations are carried out when the associated message is still unavailable and the online part of our scheme does not require any exponent computations and therefore is very efficient. Our scheme isgeneric and identity-based, in the sense it is independent of the selection of signature and encryption algorithms. Our scheme possesses the properties of ciphertext indistinguishability (IND-gCCA2) and existentially unforgeability (UF-CMA).

关键词： Identity-based encryption Security Cryptography Authentication Concrete Broadcasting distributed processing Application software Sun Computer science

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Investigating fault tolerant computing systems reliability

Investigating fault tolerant computing systems reliability

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international symposium on parallel and distributed Processing (IPDPS)

作者： Salvatore Distefano Engineering Faculty University of Messina Messina Italy

Nowadays, computers and networks represent the heart of a great part of modern technologies. Computing systems are widely used in many application areas, and they are desired to achieve various complex and safety-critical missions. As consequence, greater attention is lavished on performance and dependability evaluation of computing systems. This brings to the specification of precise techniques and models, that consider and evaluate aspects before (consciously or unconsciously) approximated or ignored at all. On the other hand, the increasing importance assumed by such systems is translated in terms of tighter and tighter constraints, requirements and/or policies (QoS, fault tolerance, maintenance, redundancy, etc.) according to the systems' criticism. The evaluation must therefore take into great account such dynamic behaviors, carefully identifying and quantifying dependencies among devices. In this paper we face the problem of individuating and evaluating the most common dynamic behaviors and dependencies affecting fault tolerant computing systems. We propose some models to represent such aspects in terms of reliability/availability, basing on dynamic reliability block diagrams (DRBD), a new formalism derived from RBD we developed. In this way we want to provide the guidelines for adequately evaluating fault tolerant computing system reliability/availability.

关键词： Fault tolerant systems Availability Redundancy State-space methods Reliability engineering Computer networks Heart Application software Guidelines Performance evaluation

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Design and optimization of a distributed, embedded speech recognition system

Design and optimization of a distributed, embedded speech re...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Chung-Ching Shen William Plishker Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering and Institute for Advanced Computer Studies University of Maryland College Park USA

In this paper, we present the design and implementation of a distributed sensor network application for embedded, isolated-word, real-time speech recognition. In our system design, we adopt a parameterized-dataflow-based modeling approach to model the functionalities associated with sensing and processing of acoustic data, and we implement the associated embedded software on an off-the-shelf sensor node platform that is equipped with an acoustic sensor. The topology of the sensor network deployed in this work involves a clustered network hierarchy. A customized time division multiple access protocol is developed to manage the wireless channel. We analyze the distribution of the overall computation workload across the network to improve energy efficiency. In our experiments, we demonstrate the recognition accuracy for our speech recognition system to verify its functionality and utility. We also evaluate improvements in network lifetime to demonstrate the effectiveness of our energy-aware optimization techniques.

关键词： Design optimization Speech recognition Acoustic sensors Application software Embedded software Sensor systems Network topology Time division multiple access Wireless application protocol Access protocols

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A Two-Phase Load-Balancing Framework of parallel GIS Operations

A Two-Phase Load-Balancing Framework of Parallel GIS Operati...

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IEEE international symposium on Geoscience and Remote Sensing (IGARSS)

作者： Zhong Xie Zi Ye Liang Wu Faculty of Information Engineering China University of Geoscience China Faculty of Information Engineering GIS Software Research and Application Engineering Center of the Ministry of Education China University of Geoscience China

The ever-increasing of the large geospatial datasets and the widely application of the complex geocomputation make the parallel processing of GIS an important component of high-performance computing. The paper introduces a two-phase load-balancing scheme for the parallel GIS operations in distributed environment. The paper focus on the parallel framework design and parallel strategy implement of the spatial operations in GIS. Two major aspects of the spatial data partitioning and dynamic load schedule are discussed in detail, declustering the massive data sets into two parts hierarchically: the dynamic share data and the static local data. In the experimental test, we build up the analytical cost model and evaluate the utilize rate of computational power and I/O resource, and analyze the efficiency of the proposed parallel prototype.

关键词： Geographic Information systems parallel processing Data engineering Load management Geology Processor scheduling Dynamic scheduling Costs Prototypes Application software

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Supporting a visualization application on a self-adapting grid middleware

Supporting a visualization application on a self-adapting gr...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Liang Chen HanWei Shen Gagan Agrawal Department of Computer Science and Engineering Ohio State Uinversity Columbus OH USA

This paper describes how we have used a self-adapting middleware to implement a distributed and adaptive volume rendering application. The middleware we have used is GATES (grid-based adaptive execution on streams), which allows processing of streaming data in a distributed environment. A challenge in supporting such an application on streaming data is to balance the visualization quality and the speed of processing, which can be automatically done by the GATES middleware. We describe how we divide the application into a number of processing stages, and what adaptation parameters we use. Our experimental studies have focused on evaluating the self-adaptation enabled by the middleware, and measuring the overhead associated with the use of middleware.

关键词： Middleware Data visualization Application software Rendering (computer graphics) Iterative algorithms Computer science Large-scale systems Surgical instruments Surgery Image quality

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SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks

SNAP, Small-world Network Analysis and Partitioning: An open...

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international symposium on parallel and distributed Processing (IPDPS)

作者： David A. Bader Kamesh Madduri College of Computing Georgia Institute of Technology USA

We present SNAP (small-world network analysis and partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the capability of SNAP, we discuss the design, implementation, and performance of three novel parallel community detection algorithms that optimize modularity, a popular measure for clustering quality in social network analysis. In order to achieve scalable parallel performance, we exploit typical network characteristics of small-world networks, such as the low graph diameter, sparse connectivity, and skewed degree distribution. We conduct an extensive experimental study on real-world graph instances and demonstrate that our parallel schemes, coupled with aggressive algorithm engineering for small-world networks, give significant running time improvements over existing modularity-based clustering heuristics, with little or no loss in clustering quality. For instance, our divisive clustering approach based on approximate edge betweenness centrality is more than two orders of magnitude faster than a competing greedy approach, for a variety of large graph instances on the Sun Fire T2000 multicore system. SNAP also contains parallel implementations of fundamental graph-theoretic kernels and topological analysis metrics (e.g., breadth-first search, connected components, vertex and edge centrality) that are optimized for small- world networks. The SNAP framework is extensible; the graph kernels are modular, portable across shared memory multicore and symmetric multiprocessor systems, and simplify the design of high-level domain-specific applications.

关键词： Open source software Large-scale systems Algorithm design and analysis Multicore processing Kernel Detection algorithms Design optimization Social network services Performance analysis Clustering algorithms

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Programming models for petascale to exascale

Programming models for petascale to exascale

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international symposium on parallel and distributed Processing (IPDPS)

作者： Katherine Yelick Electrical Engineering and Computer Sciences Department UC Berkeley National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory USA

Multiple petascale systems will soon be available to the computational science community and will represent a variety of architectural models. These high-end systems, like all computing platforms, will have an increasing reliance on software-managed on-chip parallelism. These architectural trends bring into question the message-passing programming model that has dominated high-end programming for the past decade. In this talk I will describe some of the technology challenges that will drive the design of future systems and their implications for software tools, algorithm design, and application programming. In particular, I will show a need to consider models other than message passing as we move towards massive on-chip parallelism. I will talk about a class of partitioned global address space (PGAS) languages, which are an alternative to both message passing models like MPI and shared memory models like OpenMP. PGAS languages offer the possibility of a programming model that will work well across a wide range of shared memory, distributed memory, and hybrid platforms. Some of these languages, including UPC, CAF and Titanium, are based on a static model of parallelism, which gives programmers direct control over the underlying processor resources. The restricted nature of the static parallelism model in these languages has advantages in terms of implementation simplicity, analyzability, and performance transparency, but some applications demand a more dynamic execution model, similar to that of Charm++ or the recently developed HPCS languages (X10, Chapel, and Fortress). I will describe some of our experience working with both static and dynamically managed applications and some of the research challenges that I believe will be critical in developing viable programming techniques for future systems.

关键词： parallel processing Petascale computing Algorithm design and analysis Message passing Electronics packaging Concurrent computing System-on-a-chip software tools Partitioning algorithms software algorithms

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