A Computation Model for Parallelism

Parallelism for Quantum Computation with Qudits

Dianne P. O’Leary1,3,∗ Gavin K. Brennen2,† and Stephen S. Bullock3‡ 1 University of Maryland, Department of Computer Science and Institute for Advanced Computer Studies, College Park, Maryland 20742 and National Institute of Standards and Technology, Mathematical and Computational Sciences Division, Gaithersburg, MD 20899 USA 2 Institute for Quantum Optics and Quantum Information of the Austria...

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Continuous Computation : Taking Massive Parallelism

1 Discrete vs. Continuous Computation Modern computation is rooted in the discrete. This is most obvious in the digital (especially binary) representation of data. At a higher level, data is usually organized into structures with a nite number of discrete-valued features. The same characteristics also appear in the process of computation itself, which proceeds by discrete steps and must be comp...

TagC: a Language with Computation Distribution Directives for Expressing Parallelism

In this paper, we present TagC, a new language based on C for distributing parallel and/or pipelined computations. TagC simpliies the programming of distributed memory machines by providing the programmer with a global name space and a mechanism for specifying computation distribution. The main advantage of our paradigm is that it provides a unique framework for expressing both functional paral...

A one-model approach for Computation of congestion With productions trade-offs and weight restrictions