The issues and problems posed by heterogeneous computing are discussed. They include
design of algorithms for applications, partitioning and mapping of application tasks …

As a result of advances in high-speed digital communications, researchers have begun to
use collections of different high-performance machines in concert to execute …

It is increasingly common for computer users to have access to several computers on a
network, and hence to be able to execute many of their tasks on any of several computers …

Heterogeneous processing deals with decomposing a general task into code segments of
diverse computation requirements and executing each segment on a machine such that the …

A general management framework for distributed heterogenous supercomputing systems
(DHSSs) that is based on an application-characterization technique is presented. The …

Most parallel jobs cannot be fully parallelized. In a homogeneous parallel machine-one in
which all processors are identical-the serial fraction of the computation has to be executed at …

One of the biggest challenges with high-performance computing is that as machine
architectures become more advanced to obtain increased peak performance, only a small …

This paper presents a problem-space genetic algorithm (PSGA)-based technique for
efficient matching and scheduling of an application program that can be represented by a …

Program speedup is an important measure of the performance of an algorithm on a parallel
machine. Of particular importance is the near linear or superlinear speedup exhibited by the …

This survey of heterogeneous computing concepts and systems is based on the recently
proposed by the authors" EM/sup 3/"(Execution Modes/Machine Models) taxonomy of …