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Techniques for parallel computation with threads

Weaving Parallel Threads

Weaving Parallel Threads

... One of the central arguments in our work is that static analysis alone is insufficient at finding both the implicit parallelism and determining whether the introduced parallelism is substantial enough to warrant the ...

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Accelerating the computation of critical eigenvalues with parallel computing techniques

Accelerating the computation of critical eigenvalues with parallel computing techniques

... each parallel task is the same, the static strategy is ...the parallel tasks are assigned to the threads evenly prior to the ...each parallel task is highly imbalanced, the dynamic strategy is ...

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Computation-Communication Overlap Techniques for Parallel Spectral Calculations in Gyrokinetic Vlasov Simulations

Computation-Communication Overlap Techniques for Parallel Spectral Calculations in Gyrokinetic Vlasov Simulations

... We analyze e ff ects of the presented overlap meth- ods on the strong scaling of the calculation of the E × B advection term. Computations shown in this section were carried out on the FX10 supercomputer (SPARC64 IXfx ...

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Parallel computation of entries of A-1

Parallel computation of entries of A-1

... in parallel (perhaps using threaded ...system: parallel accesses to the unique instance of the factors and to multiple blocks of right-hand sides active at the same time might induce considerable bus ...

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Parallel computation of phylogenetic consensus trees

Parallel computation of phylogenetic consensus trees

... Abstract The field of bioinformatics is witnessing a rapid and overwhelming accumulation of molecular sequence data, predominantly driven by novel wet-lab sequencing techniques. This trend poses scalability ...

9

ParalleX: A Study of A New Parallel Computation Model

ParalleX: A Study of A New Parallel Computation Model

... ParalleX is the execution model around which the Gil- gamesh architecture design point is derived. The architec- ture incorporates hardware structures to support most of the mechanisms described before to minimize ...

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Efficient Tensor Operations via Compression and Parallel Computation

Efficient Tensor Operations via Compression and Parallel Computation

... such techniques which aims to reduce memory and computational requirements by using simple randomized hash functions that map the input data to a reduced-sized output ...

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Algorithms for a Topology-aware Massively Parallel Computation Model

Algorithms for a Topology-aware Massively Parallel Computation Model

... − e |. 5.2 A Sampling-based Algorithm In the MPC model, the theoretically optimal sorting algorithm inherited from [23] is rather complicated. Instead, sampling-based techniques, such as TeraSort [41], are more ...

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Parallel computation in the synthesis of random waves by digital filtering

Parallel computation in the synthesis of random waves by digital filtering

... in parallel with the receiver thread on the master ...two threads trying to access the same zone in the common buffer is avoided using the 3L Semaphore mechanism described ...

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Parallel Computation using Message Passing Interface (MPI)

Parallel Computation using Message Passing Interface (MPI)

... functional units, which can operate in parallel. Parallelism and pipelining within the CPU: The use of multiple functional units is a form of parallelism with the CPU. For example, parallel adders which ...

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Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation

Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation

... 7 C ONCLUSION AND F UTURE W ORK Sparse matrix partitioning models are shown to be quite successful in load balancing and minimizing the total volume of communication during the repeated parallel SpMxV in PageRank ...

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Parallel computation of entries of A-1

Parallel computation of entries of A-1

... in parallel in an in-core setting; as we show in the next sections, this entails not only finding a good partition of the requested entries but also revisiting the way they are ...

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A complexity theory of parallel computation

A complexity theory of parallel computation

... useful parallel machine model, we must first determine which choices ...internal computation, or read from or write to a register belonging to one of its ...

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The Design of Server and the role of Threads in Parallel Processor Applications

The Design of Server and the role of Threads in Parallel Processor Applications

... thread, parallel processing, RPC ...or parallel computing But the latter term is most commonly used to refer to processing in which different parts of a program run simultaneously on two or more processors ...

6

RDataFrame: Easy Parallel ROOT Analysis at 100 Threads

RDataFrame: Easy Parallel ROOT Analysis at 100 Threads

... In order to measure the scaling of a realistic RDataFrame application, we take a pre- existing parallel code that generates low-pt QCD events, processes them and plots some quantities of interest as ROOT ...

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threads threads threads

threads threads threads

... of computation and com- munication primitives that form the runtime kernel for supporting the inspector/executor model of execution on distributed-memory ...

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‘Quantum’ Parallel computation with neural networks

‘Quantum’ Parallel computation with neural networks

... Figure 33 shows the probability of recall error from a tensor product, given the number of tensor products that are superimposed, for each of the three methods of vector generation... F[r] ...

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Stochastic Computation from Serial to Parallel

Stochastic Computation from Serial to Parallel

... Figure 3.3: The LFSR4 random number generator for W = 10 with their high auto-correlation between consecutive values. For high quality random number generator would result less correlation between the consecutive values ...

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Parallel multi-level preference computation

Parallel multi-level preference computation

... a parallel algorithm for multi-level Skyline computation on multi-core architectures and demonstrate through extensive experimentation on synthetic and real data sets that our algorithms can result in a ...

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Parallel Computation in Econometrics: A Simplified Approach

Parallel Computation in Econometrics: A Simplified Approach

... A prime example of an embarrassingly parallel problem is Monte Carlo analysis, where M sim- ulations are executed of the same model, each using a different artificial data set. With P identical processors, each ...

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