In this paper we presents a tool for the dynamic forecast of performance of linear algebra routine as well as com-munication between clusters. FAST (Fast Agent ’s System Timer) is a software package allowing client applications to obtain an accurate forecast of routine needs in terms of completion time, memory space, and number of commu-nication, as well as current system availability. FAST relies on existing low-level software packages, i.e. network and host monitoring tools, and some of our developments in sequential and parallel computational routines modeling. The FAST internals and user interface are presented, as well as experimental results and validation on different applications. Key words: Performance evaluation, parallel computin...
This dissertation introduces measurement-based performance modeling and prediction techniques for de...
This dissertation details contributions made by the author to the field of computer science while wo...
Original mathematical methods are applied to forecast the execution and estimate the running time of...
Special issue on Clusters and Computational Grids for Scientific Computing (CCGSC'02)In this paper w...
This paper presents a tool for dynamic forecasting of Network-Enabled Servers performance. Fast (Fas...
Modern processors and computer systems are designed to be eÆcient and achieve high performance with ...
This dissertation incorporates two research projects: performance modeling and prediction for dense ...
This paper describes a methodology that provides de-tailed predictive performance information throug...
This paper describes a methodology that provides detailed predictive performance information through...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
(parallel computers and algorithms too). In this sense the paper is devoted to a complex performance...
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms ...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
AbstractIn this work the behavior of the multithreaded implementation of some LAPACK routines on PLA...
High-performance computing is essential for solving large problems and for reducing the time to solu...
This dissertation introduces measurement-based performance modeling and prediction techniques for de...
This dissertation details contributions made by the author to the field of computer science while wo...
Original mathematical methods are applied to forecast the execution and estimate the running time of...
Special issue on Clusters and Computational Grids for Scientific Computing (CCGSC'02)In this paper w...
This paper presents a tool for dynamic forecasting of Network-Enabled Servers performance. Fast (Fas...
Modern processors and computer systems are designed to be eÆcient and achieve high performance with ...
This dissertation incorporates two research projects: performance modeling and prediction for dense ...
This paper describes a methodology that provides de-tailed predictive performance information throug...
This paper describes a methodology that provides detailed predictive performance information through...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
(parallel computers and algorithms too). In this sense the paper is devoted to a complex performance...
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms ...
This paper presents a self-optimization methodology for parallel linear algebra rou-tines on heterog...
AbstractIn this work the behavior of the multithreaded implementation of some LAPACK routines on PLA...
High-performance computing is essential for solving large problems and for reducing the time to solu...
This dissertation introduces measurement-based performance modeling and prediction techniques for de...
This dissertation details contributions made by the author to the field of computer science while wo...
Original mathematical methods are applied to forecast the execution and estimate the running time of...