International audienceThe Simplex algorithm is a well known method to solve linear programming (LP) problems. In this paper, we propose a parallel implementation of the Simplex on a CPU-GPU systems via CUDA. Double precision implementation is used in order to improve the quality of solutions. Computational tests have been carried out on randomly generated instances for non-sparse LP problems. The tests show a maximum speedup of 12.5 on a GTX 260 board
There is a growing trend towards solving problems of computational mechanics by parallelization stra...
We present several algorithms to compute the solution of a linear system of equations on a graphics ...
International audienceThanks to CUDA and OpenCL, Graphics Processing Units (GPUs) have recently gain...
International audienceThe Simplex algorithm is a well known method to solve linear programming (LP) ...
International audienceThe Simplex algorithm is a well known method to solve linear programming (LP) ...
The standard simplex method is a well-known optimization algorithm for solving linear programming mo...
The simplex algorithm has been successfully used for many years in solving linear programming (LP) p...
Abstract Optimization algorithms are becoming increasingly more important in many areas, such as fin...
The use of a special-purpose VLSI chip for solving a linear programming problem is presented. The ch...
The Branch-and-Bound (B&B) method is a well-known optimization algorithm for solving integer linear ...
We present several algorithms to compute the solution of a linear system of equa-tions on a GPU, as ...
Abstract—The simplex method is perhaps the most widely used method for solving linear programming (L...
The current trend in processor architectures towards multiple cores has led to a shift in program de...
Optimization problems lie at the core of scientific and engineering endeavors. Solutions to these pr...
We consider a fast, robust and scalable solver using graphic processing units (GPU) as accelerators ...
There is a growing trend towards solving problems of computational mechanics by parallelization stra...
We present several algorithms to compute the solution of a linear system of equations on a graphics ...
International audienceThanks to CUDA and OpenCL, Graphics Processing Units (GPUs) have recently gain...
International audienceThe Simplex algorithm is a well known method to solve linear programming (LP) ...
International audienceThe Simplex algorithm is a well known method to solve linear programming (LP) ...
The standard simplex method is a well-known optimization algorithm for solving linear programming mo...
The simplex algorithm has been successfully used for many years in solving linear programming (LP) p...
Abstract Optimization algorithms are becoming increasingly more important in many areas, such as fin...
The use of a special-purpose VLSI chip for solving a linear programming problem is presented. The ch...
The Branch-and-Bound (B&B) method is a well-known optimization algorithm for solving integer linear ...
We present several algorithms to compute the solution of a linear system of equa-tions on a GPU, as ...
Abstract—The simplex method is perhaps the most widely used method for solving linear programming (L...
The current trend in processor architectures towards multiple cores has led to a shift in program de...
Optimization problems lie at the core of scientific and engineering endeavors. Solutions to these pr...
We consider a fast, robust and scalable solver using graphic processing units (GPU) as accelerators ...
There is a growing trend towards solving problems of computational mechanics by parallelization stra...
We present several algorithms to compute the solution of a linear system of equations on a graphics ...
International audienceThanks to CUDA and OpenCL, Graphics Processing Units (GPUs) have recently gain...