This paper describes an approach to supporting efcient processor virtualization and dynamic load balancing for message-based, parallel programs. Specifically, a user-level process package (UPVM) for SPMD-style PVM applications is presented. UPVM supports light-weight virtual processors that are transparently and independently migratable. It also implements a source-code compatible PVM interface...

Functionals of spatial point process often satisfy a weak spatial dependence condition known as stabilization. In this paper we prove process level moderate deviation principles (MDP) for such functionals, which is a level-3 result for empirical point fields as well as a level2 result for empirical point measures. The level-3 rate function coincides with the so-called specific information. We s...

High-level control of parallel process behaviour simplifies the development of parallel software substantially by freeing the programmer from low-level process management and coordination details. The latter are handled by a sophisticated runtime system which controls program execution. In this paper we look behind the scenes and show how the enormous gap between high-level parallel language co...

A variable-structure (VS) PID controller for the level process is proposed. A methodology of analysis of its stability and performance is given. It is proposed that stability of the VS system can be approximately analyzed via the describing function method. The describing function of the VS PID controller is derived. It is shown that the system with the VS PID controller is quasi-linear. Tuning...

In November 1998 the CSC SEAS Center achieved the rating of CMM Level 5 and became the sixth organization in the world to have ever attained that goal. The Capability Maturity Model (CMM) (Reference 1) is a worldwide recognized benchmark of process maturity for software organizations and is used to assess the quality of an organization’s software process. During the period covered by this study...

A dynamical (time-dependent) evolutionary population model featuring two levels of organization (individuals and groups) is studied. The dynamical model is represented by a partial differential equation (PDE) that governs the state of the environment as it evolves in time. The PDE is derived from an underlying stochastic model of two-level selection based on evolutionary birth-death processes. ...

We solve the problem of estimating the amount of energy consumed by each application in the system by presenting the design and implementation of pTop, a simple and efficient process-level power profiling tool. Being a service of the operating system, pTop provides real-time information about the energy consumed by each process in terms of different resource components. pTop also supports a set...