FAST  
FAST (Fast Agent System Timers) is a tool for dynamic performance
forecasting in a Grid environment. FAST is composed of several layers
and relies on low level software. First, it uses a network and CPU
monitoring software to handle dynamically changing resources, like
workload or bandwidth. FAST uses the Network Weather Service (NWS), a
distributed system that periodically monitors and dynamically
forecasts the performance of various network and computational
resources. The dynamic data acquisition module of FAST uses and
enhances NWS. FAST also includes routines to model the time and space
needs for each triplet (problem ; machine ; parameters set ). They are
based on benchmarking at installation time on each machine for a
representative set of parameters and polynomial data fitting. To store
these static data, FAST uses a LDAP tree. more... 
MUMPS  
MUMPS (MUltifrontal Massively Parallel Solver) is a parallel
software package (Fortran 90, MPI) for the solution of sparse systems
of linear equations. Its performance is very competitive and it has
a large number of functionalities, including:
 types of systems: symmetric (positive definite or not), or unsymmetric,
 various matrix input formats (assembled or elemental, distributed or
centralized),
 threshold partial pivoting for robustness,
 partial factorization (computation of a Schur complement matrix),
 real or complex arithmetic,
 fully asynchronous approach with distributed dynamic scheduling,
 C or Fortran 90 interface,
 ...
MUMPS is available free of charge.
more... 

DIET  
Huge problems can now be computed over the Internet
thanks to Grid Computing Environments like Globus or Legion. Because
most of current applications are numerical, the use of libraries like
BLAS, LAPACK, ScaLAPACK or PETSc is mandatory. The integration of
such libraries in high level applications using languages like Fortran
or C is far from being easy. Moreover, the computational power and
memory needs of such applications may of course not be available on
every workstation. Thus, the RPC seems to be a good candidate to build
Problem Solving Environments on the Grid. Several tools following
this approach exist, like Netsolve, NINF, NEOS, or RCS.
The aim of the DIET project is to develop a set of tools to build
computational servers. more... 
SimGrid  
Since the advent of distributed computer systems an active field of
research has been the investigation of scheduling strategies for
parallel applications. The common approach is to employ scheduling
heuristics that approximate an optimal schedule. Unfortunately, it is
not possible to obtain analytical results to compare and select
appropriate heuristics for a given scheduling problem. One
possibility is to conducts large numbers of backtoback experiments
on real platforms. While this is possible on tightlycoupled
platforms, it is infeasible on modern distributed platforms such as
the Computational Grid as it is laborintensive and does not
enable repeatable results. The solution is to resort to
simulations. Simulations not only lead to repeatable results
but also make it possible to explore wide ranges of platform and
application scenarios. This can be addressed by using a tracebased
approach in which the behavior of the platform is recorded via
monitoring tools and ``replayed'' in simulation. SimGrid is a
conjoint effort with UCSD to provide a framework which enables the
simulation of distributed applications in distributed computing
environments for the specific purpose of developing and evaluating
scheduling algorithms.
more... 

