Software engineering has traditionally focussed on functional requirements and how to build software that has few bugs and can be easily maintained. Most design approaches include...
In this paper, we describe our experience with developing Airshed, a large pollution modeling application, in the Fx programming environment. We demonstrate that high level parall...
Jaspal Subhlok, Peter Steenkiste, James M. Stichno...
An important focus of recent CBR research is on how to develop strategies for achieving compact, competent case-bases, as a way to improve the performance of CBR systems. However, ...
End-users of high-performance computing resources have come to expect that consistent levels of performance be delivered to their applications. The advancement of the Computationa...
Abstract. The influences of OS and system-specific effects on application performance are increasingly important in high performance computing. In this regard, OS kernel measuremen...
Aroon Nataraj, Allen D. Malony, Alan Morris, Samee...
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of program inefficiency. Proposed is an approach that exploits parallel computation...
Abstract. As process technology scales down, power wall starts to hinder improvements in processor performance. Performance optimization has to proceed under a power constraint. Th...
We present the results from three motor-imagery-based Brain-Computer Interface experiments. Brain signals were recorded from 8 untrained subjects using EEG, 4 using ECoG and 10 us...
N. Jeremy Hill, Thomas Navin Lal, Michael Schr&oum...
The performance of the protocol stack implementation of an operating system can greatly impact the performance of networked applications that run on it. In this paper, we present a...
This paper presents the support for user-defined metrics in the G-PM performance analysis tool. G-PM addresses the demand for aggressive optimisation of Grid applications by using ...