We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...
We present the design of a computation engine for a real-time laparoscopic surgery simulator. Since this simulator requires realistic real-time and real-world behaviour, a physica...
Alex Rhomberg, Rolf Enzler, Markus Thaler, Gerhard...
We are developing a compiler that translates ordinary MATLAB scripts into code suitable for compilation and execution on parallel computers supporting C and the MPI message-passin...
Michael J. Quinn, Alexey G. Malishevsky, Nagajagad...
Traditionally, tracking systems require dedicated hardware to handle the computational demands and input/output rates imposed by real-time video sources. An alternative presented i...
Bharadwaj Pudipeddi, A. Lynn Abbott, Peter M. Atha...
Abstract. High speed networks are now providing incredible performances. Software evolution is slow and the old protocol stacks are no longer adequate for these kind of communicati...
Abstract. Dynamic real-time systems function in unpredictable environments and have requirements that span many domains such as time, survivability, and scalability. The system req...
Binoy Ravindran, Lonnie R. Welch, Carl Bruggeman, ...
We present a novel scheme for the solution of linear differential equation systems on parallel computers. The Implicit Pipeline (ImP) method uses an implicit timeintegration schem...
In this paper we devise an optimal deterministic algorithm for routing h-relations on-line on an N-input/output multibutterfly. The algorithm, which is obtained by generalizing th...