large scale parallel systems
On A New Interconnection Network for Large Scale Parallel Systems
... of large scale parallel ...for large scale parallel systems which provides better performance and efficient inter processor ...
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Auto tuning MPI Collective Operations on Large Scale Parallel Systems
... This paper has presented a novel approach to tune MPI collective algorithms. Our approach automatically chooses, at runtime, which of the available algorithms to use for a given communication operation. The runtime ...
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LARGE-SCALE SOFTWARE TESTING ENVIRONMENT USING CLOUD COMPUTING TECHNOLOGY FOR DEPENDABLE PARALLEL AND DISTRIBUTED SYSTEMS
... configuration. Parallel and distributed systems can provide the solution by the redundant resources because of multiprocessor and multiple ...in parallel independently, the behavior of the software ...
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Dynamic simulation of large-scale power systems using a parallel schur-complement-based decomposition method
... OpenMP offers some mechanisms for the assignment of loop iterations to threads through the schedule clause. Very often, the best load balancing strategy depends on the target architecture, the actual data input, and ...
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Dynamic simulation of large-scale power systems using a parallel schur-complement-based decomposition method
... To achieve this, further study on the algorithmic part (merging some parallel sections of the code to avoid syn- chronizations, parallelizing other time consuming tasks, etc.) and on the memory access patterns and ...
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hpsgprof : a new profiling tool for large scale parallel scientific codes
... We compare the overhead of our tool with both gprof and automatically in- strumented TAU. Table 6 compares the overhead of the tools, for the SStruct section of AMG2006. Both gprof and and hpsgprof show low overhead, in ...
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Large Scale Classification Based on Combination of Parallel SVM and Interpolative MDS
... these large scale data to support decision is a big problem encountered by ...from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and ...
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SCSI: Platforms & Foundations: Cyberinfrastructure
... • Traditional Supercomputers TeraGrid and DEISA for large scale parallel computing – mainly simulations – Likely to offer major GPU enhanced systems • Traditional Grids for handling dist[r] ...
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Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
... Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative decomposition tech- nique and ...
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A Parallel Approach for Matching Large-scale Ontologies
... Regarding data transmission and fault tolerance, two relevant issues in distributed systems [Dean and Ghemawat 2008], the works of Gross et al. [2010], Amin et al. [2014] and Amin et al. [2015] do not describe how ...
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Creativity in the Specification of Large-Scale Socio-Technical Systems
... RESCUE is a concurrent engineering process in which different modelling and analysis processes take place in parallel. The concurrent processes are structured into 4 streams which focus on understanding human ...
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Cloud Technologies and Data Intensive Applications
... • Traditional Supercomputers TeraGrid and DEISA for large scale parallel computing – mainly simulations – Likely to offer major GPU enhanced systems • Traditional Grids for handling dist[r] ...
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Large-scale development, characterization, and cross-amplification of EST–SSR markers in Chinese chive
... involves large-scale sequencing of whole genomes, SSR-enriched genome regions or expressed sequence tag (EST) ...technology, large numbers of EST-derived SSR markers have been developed de novo ...
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Hadoop MapReduce Scheduling Algorithms – A Survey
... Abstract - Hadoop framework has been widely used to process large-scale datasets on computing clusters. In Hadoop, MapReduce framework is a programming model which processes terrabytes of data in very less ...
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Parallel community detection based on distance dynamics for large scale network
... in large- scale networks. Thus, we divide the large-scale network into multiple small-scale sub-networks and independently use dis- tance dynamic model for each sub-network, which helps ...
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An Energy-Aware Algorithm for Large Scale Foraging Systems
... • Environment Model: The search space is an N x N grid world with several food locations, one or multiple sinks (nest), obstacles and pheromone markings. It is divided into equal squares in a Cartesian coordinate system. ...
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Software level green computing for large scale systems
... It has been observed that most of the energy efficient schedulers do not take into ac- count the network and traffic [19]. Deals with the selection of appropriate path for traf- fic, for this purpose tree routing ...
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Scaling of Critical success factors for Requirements engineering in the development of Large Scale Systems
... Normally software requirement specifications are organized according to their features. A feature is an externally accessible service of the system. The project schedules are often made depending upon these features. If ...
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Automatic Evaluation of Relation Extraction Systems on Large scale
... RE systems required each target relation to be given as input along with a set of examples (Brin, 1998; Agichtein and Gravano, 2000; Zelenko et ...too large or even unknown. Open RE systems try to ...
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The SiO outflow from IRAS 17233-3606 at high resolution
... Alternatively, Peters et al. (2014) suggest a scenario in which multiple massive protostars may be collectively contributing to the one large scale outflow observable in massive star forming regions. In ...
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