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To analyze new, parallel computers, developers must rapidly simulate designs running realistic workloads. Historically, direct execution and a parallel host have accelerated simulations, although these techniques have typically lacked portability. Through ...
Distributed-memory parallel computers and networks of workstations (NOWs) both rely on efficient communication over increasingly high-speed networks. Software communication protocols are often the performance bottleneck. Several current and proposed parall ...
The design of future parallel computers requires rapid simulation of target designs running realistic workloads. These simulations have been accelerated using two techniques: direct execution and the use of a parallel host. Historically, these techniques h ...
We present a system that allows task parallel OpenMP pro grams to execute on a network of workstations (NOW) with a variable number of nodes Such adaptivity, generally called adaptive parallelism, is important in a multi-user NOW environment, enabling the ...
Distributed Shared-Memory (DSM) computers, which partition physical memory among a collection of workstationlike computing nodes, are now a common way to implement parallel machines. Recently, there has been much interest in DSM machines that use software, ...
We present a fully-global linear gyrokinetic simulation code (GYGLES) aimed at describing the unstable spectrum of the ion-temperature-gradient modes in toroidal geometry. We formulate the Particle-In-Cell method with finite elements defined in magnetic co ...
We compare two systems for parallel programming on networks of workstations: Parallel Virtual Machine (PVM) a message passing system, and TreadMarks, a software distributed shared memory (DSM) system. We present results for eight applications that were imp ...
A program environment is presented that enables a co-operative design of high-technology products demanding interdisciplinary computer simulations for their optimisation. The system includes a multi-site, multi-machine, distributed data manager accessible ...
Parallelizing an algorithm consists of dividing the computation into a set of sequential operations, assigning the operations to threads, synchronizing the execution of threads, specifying the data transfer requirements between threads and mapping the thre ...
The direct sparse matrix solver is based on a domain decomposition technique to achieve data and work parallelization. Geometries that have long and thin structures are specially efficiently tractable with this solver, provided that they can be decomposed ...
