In studying or designing parallel and distributed systems one should have available a robust
analytical model that includes the major parameters that determine the system performance …

Jackson networks have been very successful in so many areas in modeling parallel and
distributed systems. However, the ability of Jackson networks to predict performance with …

In this paper, we consider the application level performance modeling of parallel machines
consisting of a large number of processing elements (PE's) connected in some regular …

In studying or designing parallel and distributed systems one should have available a robust
analytical model that includes the major parameters that determine the system performance …

In this thesis we develop an analytical performance model for parallel computer systems.
This model is built on three abstract performance elements; loading intensity, contention …

We analyze and model the performance of heterogeneous parallel computing systems,
where in general each node has a different computing power. The main features of our …

Workload modeling and performance evaluation play crucial roles in the study of scheduling
algorithms on large-scale parallel and distributed systems. An effective design of a …

There are several metrics that characterize the performance of a parallel system, such as
parallel execution time, speedup, and efficiency. A number of properties of these metrics …

A centralized parallel processing system with job splitting is considered. In such a system,
jobs wait in a central queue, which is accessible by all the processors, and are split into …

Many applications from scientific computing and physical simulations can benefit from a
mixed task and data parallel implementation on parallel machines with a distributed memory …