Add to ORKGAbstract—Problems arising in different areas such as numerical methods, simulation or optimization can be efficiently solved by parallel super-computing. How-ever, it is not always possible to buy and maintain par-allel super-computers. A geographically distributed network of PC clusters is an interesting low-cost al-ternative. The possibility of connecting different clus-ters of PCs through Internet opens a new approach to distributed and massive computing. The MALLBA project tackles the resolution of combinatorial opti-mization problems using algorithmic skeletons imple-mented in C++ under this approach. MALLBA offers three families of generic resolution methods: exact, heuristic and hybrid. Moreover, for each resolution method it offers ...
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN002626 / BLDSC - British Library ...
Novel architectures for massively parallel machines offer better scalability and the prospect of ach...
Problems arising in different areas such as numerical methods, simulation or optimization can be eff...
The mallba project tackles the resolution of combinatorial optimization problems using algorithmic s...
The mallba project tackles the resolution of combinatorial optimization problems using generic algor...
The MALLBA project tackles the resolution of combinatorial optimization problems using algorithmic s...
Combinatorial optimization is a way of finding an optimum solution from a finite set of objects. For...
Problems in combinatorial optimization, whether they are solved exactly or approximately by a heuris...
This paper reports about research projects of the University of Paderborn in the field of distribute...
In this paper it is argued that continuing advances in computing power present both a challenge and ...
The problem of finding a global minimum of a real function on a set S of Rn occurs in many real worl...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
With combinatorial optimization we try to find good solutions for many computationaly difficult prob...
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN002626 / BLDSC - British Library ...
Novel architectures for massively parallel machines offer better scalability and the prospect of ach...
Problems arising in different areas such as numerical methods, simulation or optimization can be eff...
The mallba project tackles the resolution of combinatorial optimization problems using algorithmic s...
The mallba project tackles the resolution of combinatorial optimization problems using generic algor...
The MALLBA project tackles the resolution of combinatorial optimization problems using algorithmic s...
Combinatorial optimization is a way of finding an optimum solution from a finite set of objects. For...
Problems in combinatorial optimization, whether they are solved exactly or approximately by a heuris...
This paper reports about research projects of the University of Paderborn in the field of distribute...
In this paper it is argued that continuing advances in computing power present both a challenge and ...
The problem of finding a global minimum of a real function on a set S of Rn occurs in many real worl...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
With combinatorial optimization we try to find good solutions for many computationaly difficult prob...
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN002626 / BLDSC - British Library ...
Novel architectures for massively parallel machines offer better scalability and the prospect of ach...