Parallel job scheduling is beginning to gain recognition as an important topic that is distinct
from the scheduling of tasks within a parallel job by the programmer or runtime system. The …

The paper examines the viability of using integrated programmable logic as a coprocessor
to support a host CPU core. This adaptive coprocessor is compared to a VLIW machine in …

Since loops in programs are the major source of parallelism, considerable research has
been focused on strategies for parallelizing loops. For DOALL loops, loops can be allocated …

We present Program Demultiplexing (PD), an execution paradigm that creates concurrency
in sequential programs by" demultiplexing" methods (functions or subroutines). Call sites of …

There has been a recent increase of interest in heterogeneous computing systems, due
partly to the fact that a single parallel architecture may not be adequate for exploiting all of a …

Load balancing of parallel tasks in homogeneous as well as heterogeneous systems are
major trouble for researches of both industry and academia. Load balancing were broadly …

Executing loop iterations in parallel on a multiprocessor system is one of the many ways to
improve the execution of a program. However, due to the scheduling overhead and the …

Large spatial interpolation problems present significant computational challenges even for
the fastest workstations. In this paper we demonstrate how parallel processing can be used …

Self-scheduling algorithms are useful for achieving load balance in heterogeneous
computational systems. Therefore, they can be applied in computational Grids. Here, we …

We describe new parallelization techniques applied to a highly parallel ocean circulation
application code–the Miami Isopycnic Ocean Coordinate Model or MICOM. We compare …