UPC, or Unified parallel C, is a parallel extension of ANSI C. UPC is developed around the distributed shared-memory programming model with constructs that can allow programmers to exploit memory locality, by placing ...
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UPC, or Unified parallel C, is a parallel extension of ANSI C. UPC is developed around the distributed shared-memory programming model with constructs that can allow programmers to exploit memory locality, by placing data close to the threads that manipulate them in order to minimize remote accesses. Under the UPC memory sharing model, each thread owns a private memory and has a logical association (affinity) with a partition of the shared memory. This paper discusses an early release of UPC Bench, a benchmark designed to reveal UPC compilers performance weaknesses to uncover opportunities for compiler optimizations. The experimental results from UPC Bench over the Compaq AlphaServer SC show that UPC Bench is capable of discovering such compiler performance problems. Further, it shows that if such performance pitfalls are avoided through compiler optimizations, distributed shared memory programming paradigms can result in high-performance, while the ease of programming is enjoyed.
Hydrophobicity of polymeric insulating material surface such as silicone rubber insulator (SIR) was studied by using image data analysis of the sample surface. Using PVM (parallel virtual machine) programming procedur...
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Hydrophobicity of polymeric insulating material surface such as silicone rubber insulator (SIR) was studied by using image data analysis of the sample surface. Using PVM (parallel virtual machine) programming procedure for UNIX operating system, hydrophobicity of polymer surface was evaluated from their surface images of water droplets on the sample surface. The hydrophobic surface images under the spraying of distilled water were taken by CCD camcorder. The video image was divided into each image frame and PVM program analyzed each image data, simultaneously. Image indexes such as size and shape factor, fc, of droplets can be evaluated from each hydrophobic image frame. Then, the distribution of the size and fc were evaluated. Time variation of the hydrophobic indexes during high electric field application was also evaluated, where electric field deformed the droplets.
Recently, parallel computing has been applied to many systems. Functional programming is suitable for parallel programming because of referential transparency and is applied to symbol processing systems and parallel d...
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ISBN:
(纸本)0769514146
Recently, parallel computing has been applied to many systems. Functional programming is suitable for parallel programming because of referential transparency and is applied to symbol processing systems and parallel database systems. Programs with some functional programming can be regarded as graphs and are processed in terms of reduction of the corresponding graph. The paper proposes fault tolerance of functional programming based on graph reduction. The proposed method stores the received graph as a message log and an erroneous task is recovered by using the checkpoint and the stored graph. Computer simulations reveal that the time overhead of the proposed method is small. If the checkpoint interval is 30 seconds and the number of tasks is 3, for example, the time overhead is less than 10%.
In this paper we describe an instrumentation environment for the performance analysis and visualization of parallel applications written in JOMP, an OpenMP-like interface for Java. The environment includes two complem...
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In this paper we describe an instrumentation environment for the performance analysis and visualization of parallel applications written in JOMP, an OpenMP-like interface for Java. The environment includes two complementary approaches. The first one has been designed to provide a detailed analysis of the parallel behavior at the JOMP programming model level. At this level, the user is faced with parallel, work-sharing and synchronization constructs, which are the core of JOMP. The second mechanism has been designed to support an in-depth analysis of the threaded execution inside the Java virtual machine (JVM). At this level of analysis, the user is faced with the supporting threads layer monitors and conditional variables. The paper discusses the implementation of both mechanisms and evaluates the overhead incurred by them.
Cluster computing is becoming increasingly popular among users of parallel and distributed applications. However since few clusters are solely dedicated to run individual user jobs, it is necessary to coordinate those...
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ISBN:
(纸本)0769515282
Cluster computing is becoming increasingly popular among users of parallel and distributed applications. However since few clusters are solely dedicated to run individual user jobs, it is necessary to coordinate those jobs among independently administered clusters effectively and with less user interaction. For this purpose, we have developed an infrastructure for inter-cluster job coordination using Voyager mobile agents. Once a user submits a job request, which is converted into XML, a mobile agent searches for the most available cluster establishes a job execution environment, executes the job, and reports its results back to the client. Using Voyager's dynamic aggregation feature, we also plan to make such job coordination agents to evolve themselves as to be suitable to be deployed in dynamic cluster environments. This paper presents the design principles and the latest implementation status of our infrastructure as well as advanced services using evolvable agents.
Provides a fuzzy programming expected value model for a fuzzy parallel machine scheduling problem. A fuzzy simulation-based genetic algorithm is designed to solve the proposed model. Moreover, a numerical experiment i...
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Provides a fuzzy programming expected value model for a fuzzy parallel machine scheduling problem. A fuzzy simulation-based genetic algorithm is designed to solve the proposed model. Moreover, a numerical experiment is provided to illustrate the computational efficiency of the proposed approach.
We present two generic parallel skeletons for the tabu search method-a well known meta-heuristic for approximately solving combinatorial optimization problems. The first skeleton is based on independent runs while the...
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ISBN:
(纸本)0769511538
We present two generic parallel skeletons for the tabu search method-a well known meta-heuristic for approximately solving combinatorial optimization problems. The first skeleton is based on independent runs while the second in the classical master-slave model. Our starting point is the design and implementation of a sequential skeleton that is used later as basis for the two parallel skeletons. Both skeletons provide the user with the following: a permit to obtain parallel implementations of the tabu search method for concrete combinatorial optimization problems from existing sequential implementations; there is no need for the user to know either parallel programming or communication libraries; and the parallel implementation of tabu search for a concrete problem is obtained automatically from a sequential implementation of tabu search for the problem. The skeletons, however, require from the user a sequential instantiation of the tabu search method for the problem at hand. The skeletons are implemented in C++ using MPI as the communication library and offer genericity, flexibility, component reuse, robustness and time savings. We have instantiated the two skeletons for the 0-1 multidimensional knapsack problem, among others, for which we report computational results.
An embedded flash memory module has 1.2 V read capability and a 1.5 V program/erase capability. The flash cell is 2-transistor FN-NOR in a 0.181 /spl mu/m logic process. Design techniques improve observability and red...
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ISBN:
(纸本)0780366085
An embedded flash memory module has 1.2 V read capability and a 1.5 V program/erase capability. The flash cell is 2-transistor FN-NOR in a 0.181 /spl mu/m logic process. Design techniques improve observability and reduce test time.
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