Methods and algorithms for the slicing process in microstereolithography
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In the world of High Performance Computing (newly renamed "High Productivity Computing"), where the race for performance is on, where the hunt for the last Flop rages and where the developers swear by the Cult of Power, the different applications have diff ...
The objective of the present work is to make efficient parallelization of evolutionary algorithms (EA) easier in order to solve large instances of difficult combinatorial optimization problems within an acceptable amount of time, on parallel computer archi ...
Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers such as clusters of PCs. DPS applications are defined by using directed acyclic flow graphs composed of user-defined operations. ...
This paper presents the OpenDF framework and recalls that dataflow programming was once invented to address the problem of parallel computing. We discuss the problems with an imperative style, von Neumann programs, and present what we believe are the advan ...
Our vectorized Helmholtz solver runs at 85% efficiency on a NEC SX-5. The most time-consuming parts have been ported on SMP, NUMA, and cluster architectures. It is shown that an OpenMP version can deliver similar performance when running it on a 16 process ...
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 ...
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-the-shelf systems are not designed for high reliability. Node failures therefore drive the MTBF of such clusters to unacceptable levels. The software framewo ...
Institute of Electrical and Electronics Engineers Computer Society, Piscataway, NJ 08855-1331, United States2005
A review. First-principles mol. dynamics (Car-Parrinello) simulations based on d. functional theory have emerged as a powerful tool for the study of phys., chem. and biol. systems. At present, using parallel computers, systems of a few hundreds of atoms ca ...
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 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, ...
