The Parallel Programming Guide for Every Software Developer From grids and clusters to
next-generation game consoles, parallel computing is going mainstream. Innovations such …

Increasing levels of microprocessor power dissipation call for new approaches at the
architectural level that save energy by better matching of on-chip resources to application …

Distributed Memory Multicomputers (DMMs), such as the IBM SP-2, the Intel Paragon, and
the Thinking Machines CM-5, offer significant advantages over shared memory …

The OpenMP source code repository (OmpSCR) is an infrastructure that we make available
to the OpenMP community. It is based on a set of representative applications and it is …

Languages that support task and data parallelism are highly general and can exploit both
forms of parallelism in a single application. However, cleanly integrating the two forms of …

This paper addressesoptimal mapping of parallel programs composed of a chain of data
parallel tasks onto the processors of a parallel system. The input to this class of programs is …

Current microprocessor designs set the functionality and clock rate of the chip at design time
based on the configuration that achieves the best overall performance over a range of target …

Abstract High Performance Fortran (HPF) has emerged as a standard dialect of Fortran for
data parallel computing. However, for a wide variety of applications, both task and data …

This paper addresses optimal mapping of parallel programs composed of a chain of data
parallel tasks onto the processors of a parallel system. The input to the programs is a stream …

This paper introduces simultaneous globally optimal hand-eye self-calibration in both its
rotational and translational components. The main contributions are new feasibility tests to …