Parallel Architectures
Parallel Architectures and Interconnection
... of parallel architectures as well as in parallel ...of parallel architectures, network topologies describe the interconnections among multiple processors and memory ...
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J. R. Allwright. School of Computer and Information Science, Syracuse University. Northeast Parallel Architectures Center, Syracuse University,
... on Parallel Computation through NSF co-operative agreement ...Northeast Parallel Architectures Center (NPAC) at Syracuse University, which is funded primarily by the National Science Foundation ...
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Parallel architectures for image analysis
... scale parallel architectures that do not fit well into Flynn's organisation several stand out; these are Purdue Universities partitionable SIMD/MIMD machine (PASM) and the Hughes Aircraft and the University ...
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Kalman Filter Tracking on Parallel Architectures
... Abstract. Power density constraints are limiting the performance improvements of mod- ern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. In ...
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Towards scalable adaptive mesh refinement on future parallel architectures
... highly parallel runs, it is important to note that a key driver for the development of CleverLeaf is to provide a framework in which to evaluate the SAMRAI ...
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Automatic Parallelization for Parallel Architectures Using Smith Waterman Algorithm
... diagonal parallel block based sequencing could not only reduce the overall computational cost but also the complexity incurred in exploring entire sequential query ...
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Optimizing performance of parallel architectures through processor configuration and data distribution
... data parallel languages intended to free the user of responsibility of managing communication primitives, ...various parallel machines and dierences in compilers, a program optimized for one machine may not ...
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Energy-aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures
... erogeneous architectures that combine high-performance and low-power servers in order to achieve better overall energy proportionality and energy efficiency ...
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Three Dimensional Simulation of Time-Dependent Scramjet Isolator/Combustor Flowfields Implemented on Parallel Architectures
... the reactive shear layer has also propagated upstream in the near wall region as shown by. the temperature at the z[r] ...
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Strategies for producing fast finite element solutions of the incompressible Navier Stokes equations on massively parallel architectures
... A modified finite element method ThePart 1: Navier-Stokes for solving the time-dependent incompressible equations.. methods [53] Fletcher.[r] ...
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High performance graph analysis on parallel architectures
... for parallel graph algorithms can lead on better performance in comparison to classical sequential graph algorithms? In the course of responding the research questions of our thesis, in each chapter we make ...
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Evaluating the performance of legacy applications on emerging parallel architectures
... The peak FLOP/s rate quoted by hardware manufacturers represents an archi- tecture’s theoretical maximum arithmetic throughput. It is becoming increas- ingly difficult for real-world applications to achieve this level of ...
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Application driven evaluation of network on chip architectures for parallel signal processing
... Abstract. Today’s signal processing applications exhibit steadily increasing throughput requirements which can be achieved by parallel architectures. However, efficient com- munication is mandatory to fully ...
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Performance analysis of massively parallel embedded hardware architectures for retinal image processing
... such architectures, not because of the algorithmic complexity, but due to the large number of memory accesses required and that are not present in focal-plane ...
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Scalable Parallel Computing on Clouds : Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments
... Conclusions • Highly available, scalable decentralized iterative MapReduce architecture on eventual consistent services • More natural Iterative programming model extensions to MapReduce[r] ...
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Efficient Approximate Big Data Clustering: Distributed and Parallel Algorithms in the Spectrum of IoT Architectures
... Modern computing platforms support concurrent execution, synchronization, and communication of many workers (e.g. threads, CPUs, etc), sharing the available resources of the system, for instance memory. Leveraging ...
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Families of communication architectures for data centers and parallel processing derived by switching network dilation
... We focus on indirect networks consisting of a separate switch network and a rule for connecting the switches to processing nodes. We use the switch-network architectures depicted in Figure 1 as the bases for our ...
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SCALABLE PARALLEL COMPUTING ON CLOUDS: EFFICIENT AND SCALABLE ARCHITECTURES TO PERFORM PLEASINGLY PARALLEL, MAPREDUCE AND ITERATIVE DATA INTENSIVE COMPUTATIONS ON CLOUD ENVIRONMENTS
... Cloud infrastructure services provide users with scalable, highly‐available alternatives to their traditional counterparts, but without the burden of managing them. While the use of high latency, eventually consistent ...
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Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)
... The IEEE 754 standard defines a handful of basic arithmetic operations like add, subtract, multiply, divide and square root. The results of these operations are guaranteed to be the same for all implementations of the ...
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SCSP3133: High Performance Data Processing / SCSR3233: Hig. Performance & Parallel Computing. Module 2: Parallel Computers Architectures
... Ismail Fauzi Isnin SCSP3133: High Performance Data Processing Direct topology 5 switch nodes 5 processor nodes Direct topology 16 switch nodes 16 processor nodes indirect topology 9 swit[r] ...
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