Exascale systems will present programmers with many challenges. The authors review the
parallel programming models that are appropriate for such systems and the challenges that …

The two most common parallel execution models for many-core CPUs today are
multiprocess (eg, MPI) and multithread (eg, OpenMP). The multiprocess model allows each …

Abstract The Message Passing Interface (MPI) was developed over eighteen years ago and
continues to be the preferred programming model for scientific computing. Contributing to …

The authors first discuss the intrinsic frequency limitations of the wave formatters, DUT
(device-under-test) drivers, and comparators in a typical 1980s 40-80-MHz test system, and …

MPI allows applications to treat processes as a logical collection of integer ranks for each
MPI communicator, while internally translating these logical ranks into actual network …

Many libraries in the HPC field use sophisticated algorithms with clear theoretical scalability
expectations. However, hardware constraints or programming bugs may sometimes render …

The ongoing many-core design aims at core counts where cache coherence becomes a
serious challenge. Therefore, this paper discusses how one-sided communication can be …

Visualization of large urban complexes on the Web is a highly demanding task both from the
networking and computational point of view. The whole three-dimensional model of a city is …

The importance of Computational Fluid Dynamics in the industrial design process has
increased dramatically in the last two decades. This is mainly due to the technological …

Abstract The Message Passing Interface (MPI) is the dominant programming system for
scientific applications that run on distributed memory parallel computers. MPI is a library …