Program transformations and algorithm modifications are discussed that reduce execution time for iterative methods for solving partial differential equations on high-performance computers. Techniques typically associated with parallel computers turn out to be essential to obtain optimal performance on current superscalar uniprocessors. The tested programs were written in Fortran77 and run on a single processor KSR-1, SGI Indigo, Cray C90, HP-735, RS-6000, DEC 3000/600 AXP (Alpha) and Sparc workstations. A performance model is developed and used to assess the experimental data. 1 Introduction Poisson-Boltzmann calculations are increasingly used in chemistry and biochemistry to determine the electrostatic free energy of solute molecules in e...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Power consumption and energy efficiency are becoming critical aspects in the design and operation of...
This paper examines the potential of parallel computation methods for partial differential equations...
This report describes programming tricks to get the best performance in large-scale computations. Th...
n. Itroduction The architectural differences between a serial and a parallel machine raise a number ...
The Poisson-Boltzmann equation models the electrostatic potential generated by fixed charges on a po...
The efficient solution of large-scale systems resulting from the discretization of partial different...
Copyright © 2014 Jose ́ Colmenares et al. This is an open access article distributed under the Creat...
The use of a network of workstations as a single unit for speeding up computationally intensive appl...
Summarization: The Multi-Splitting (MS) iterative method, designed exclusively for multiprocessor en...
AbstractVery large scale mathematical modelling such as accurate modelling using Navier's equations ...
Distributed systems such as networks of workstations are becoming an increasingly viable alternative...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
The parallelization performance of the TERESA Code for Trapped Element REduction in Semi lagrangian ...
This paper describes the use of a parallel computer system in applying a finite difference method to...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Power consumption and energy efficiency are becoming critical aspects in the design and operation of...
This paper examines the potential of parallel computation methods for partial differential equations...
This report describes programming tricks to get the best performance in large-scale computations. Th...
n. Itroduction The architectural differences between a serial and a parallel machine raise a number ...
The Poisson-Boltzmann equation models the electrostatic potential generated by fixed charges on a po...
The efficient solution of large-scale systems resulting from the discretization of partial different...
Copyright © 2014 Jose ́ Colmenares et al. This is an open access article distributed under the Creat...
The use of a network of workstations as a single unit for speeding up computationally intensive appl...
Summarization: The Multi-Splitting (MS) iterative method, designed exclusively for multiprocessor en...
AbstractVery large scale mathematical modelling such as accurate modelling using Navier's equations ...
Distributed systems such as networks of workstations are becoming an increasingly viable alternative...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
The parallelization performance of the TERESA Code for Trapped Element REduction in Semi lagrangian ...
This paper describes the use of a parallel computer system in applying a finite difference method to...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Power consumption and energy efficiency are becoming critical aspects in the design and operation of...
This paper examines the potential of parallel computation methods for partial differential equations...