UET scheduling with unit interprocessor communication delays
Discrete Applied Mathematics
An extended set of FORTRAN basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
LogP: a practical model of parallel computation
Communications of the ACM
Future Generation Computer Systems - Special issue on metacomputing
Understanding and Deploying LDAP Directory Services
Understanding and Deploying LDAP Directory Services
Numerical libraries and the grid: the GrADS experiments with ScaLAPACK
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Dynamic Performance Forcasting for Network-Enabled Servers in a Metacomputing Environment
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Optimization of the ScaLAPACK LU Factorization Routine Using Communication/Computation Overlap
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
Performance Evaluation Model for Scheduling in Global Computing Systems
International Journal of High Performance Computing Applications
Real-Time Performance Monitoring, Adaptive Control, and Interactive Steering of Computational Grids
International Journal of High Performance Computing Applications
The PingER project: active Internet performance monitoring for the HENP community
IEEE Communications Magazine
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In this paper we presents a tool for the dynamic forecast of performance of linear algebra routine as well as communication 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 communication, 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.