The Experts below are selected from a list of 2548947 Experts worldwide ranked by ideXlab platform
Bradley W. Schwartz - One of the best experts on this subject based on the ideXlab platform.
-
Performance Analysis: The Pablo Performance Analysis Environment
1994Co-Authors: Daniel A. Reed, Phillip C. Roth, Ruth A. Aydt, Keith A. Shields, Luis F. Tavera, Roger J. Noe, Bradley W. SchwartzAbstract:Developers of application codes for massively parallel computer systems face daunting Performance tuning and optimization problems that must be solved if massively parallel systems are to fulfill their promise. Recording and analyzing the dynamics of application program, system software, and hardware interac.tions is the key to understanding and the prerequisite to Performance tuning, but this instrumentation and Analysis must not unduly perturb program execution. Pablo is a Performance Analysis environment designed to provide unobtrusive Performance data capture, Analysis, and presentation across a wide variety of scalable parallel systems. Current efforts include dynamic statistical clustering to reduce the volume of data that must be captured and complete Performance data immersion via head-mounted displays.
-
Scalable Performance Analysis: the Pablo Performance Analysis environment
Proceedings of Scalable Parallel Libraries Conference, 1Co-Authors: Daniel A. Reed, Phillip C. Roth, Ruth A. Aydt, Keith A. Shields, Luis F. Tavera, Roger J. Noe, Bradley W. SchwartzAbstract:Developers of application codes for massively parallel computer systems face daunting Performance tuning and optimization problems that must be solved if massively parallel systems are to fulfill their promise. Recording and analyzing the dynamics of application program, system software, and hardware interactions is the key to understanding and the prerequisite to Performance tuning, but this instrumentation and Analysis must not unduly perturb program execution. Pablo is a Performance Analysis environment designed to provide unobtrusive Performance data capture, Analysis, and presentation across a wide variety of scalable parallel systems. Current efforts include dynamic statistical clustering to reduce the volume of data that must be captured and complete Performance data immersion via head-mounted displays. >
Xiangbo Feng - One of the best experts on this subject based on the ideXlab platform.
-
Robust stability and Performance Analysis: a new approach
Proceedings of 32nd IEEE Conference on Decision and Control, 1Co-Authors: Yuguang Fang, Kenneth A. Loparo, Xiangbo FengAbstract:Bernstein et al (1992) obtained results on robust stability and Performance Analysis by choosing a bound for the uncertainty terms in an uncertain Lyapunov equation. For Performance Analysis, one approach is to use an estimate of the solution of an uncertain Lyapunov equation to directly obtain a cost estimation. This paper presents some preliminary results for robust Performance Analysis and robust stability. The results presented in this paper show that for a certain class of uncertain systems (e.g., the Maximum Entropy covariance model), the guaranteed cost and its computation can be greatly improved. >
Wil M P Van Der Aalst - One of the best experts on this subject based on the ideXlab platform.
-
lifecycle based process Performance Analysis
Cooperative Information Systems, 2018Co-Authors: Bart F A Hompes, Wil M P Van Der AalstAbstract:Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process Performance Analysis techniques typically rely on ad-hoc definitions of Performance. This paper introduces a novel comprehensive approach to process Performance Analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process Performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.
Peter O'donoghue - One of the best experts on this subject based on the ideXlab platform.
-
An Introduction to Performance Analysis of Sport
2014Co-Authors: Peter O'donoghueAbstract:1. What is Performance Analysis of Sport? 2. Quantitative and Qualitative Analysis 3. Sports Performance Data and Information 4. Developing Analysis Systems 5. Guidelines for Manual Notation Systems 6. Worked Examples of Manual Notation Systems 7. Guidelines for Computerised Performance Analysis Systems 8. Worked Examples of Computerised Performance Analysis Systems 9. Reliability Testing 10. Scientific Writing in Performance Analysis of Sport
-
Research and publication strategies in Sports Performance Analysis
International Journal of Performance Analysis in Sport, 2014Co-Authors: Peter O'donoghueAbstract:(2014). Research and publication strategies in Sports Performance Analysis. International Journal of Performance Analysis in Sport: Vol. 14, No. 1, pp. i-ii.
J.e. Tierno - One of the best experts on this subject based on the ideXlab platform.
-
A New Approach to Aircraft Robust Performance Analysis
Guidance Navigation and Control Conference, 1996Co-Authors: Irene M. Gregory, J.e. TiernoAbstract:A recently developed algorithm for nonlinear system Performance Analysis has been applied to an F16 aircraft to begin evaluating the suitability of the method for aerospace problems. The algorithm has a potential to be much more efficient than the current methods in Performance Analysis for aircraft. This paper is the initial step in evaluating this potential.
-
Robust Performance Analysis for a class of uncertain nonlinear systems
Proceedings of 1995 34th IEEE Conference on Decision and Control, 1Co-Authors: J.e. Tierno, Richard M. MurrayAbstract:Performance Analysis of a large class of nonlinear systems is proven to be equivalent to Performance Analysis of a constrained uncertain linear system, for which computable Analysis methods have already been developed.
