A high performance dual revised simplex solver

Thu, 02/12/2010
14:00
Dr Julian Hall (University of Edinburgh) Computational Mathematics and Applications Add to calendar Rutherford Appleton Laboratory, nr Didcot
Implementations of the revised simplex method for solving large scale sparse linear programming (LP) problems are highly efficient for single-core architectures. This talk will discuss the limitations of the underlying techniques in the context of modern multi-core architectures, in particular with respect to memory access. Novel techniques for implementing the dual revised simplex method will be introduced, and their use in developing a dual revised simplex solver for multi-core architectures will be described.