1 Authors are listed in alphabetical order 2 Mary M. Eshaghian-Wilner is a Patent Agent at the Electronics Practice Group of Foley & Lardner, LLP. She is also an Adjunct Professor of Electrical Engineering at the University of California, Los Angeles. Abstract In this paper, we present a number of parallel and fault-tolerant routing schemes for a set of nanoscale spin-wave architectures. The ar...

One of the challenges that come from the emergence of Grid architectures is to invent new programming techniques for these new platforms. As we explain in this article, we think that the architecture of the applications should reflect both the parallel and the distributed aspects of Grid architectures. It results in applications built as assemblies of parallel components. Since Grid architectur...

Parallel computer architectures and applications are analysed qualitatively on a technical, cultural and innovation level. This leads to a new kind of taxonomy of computer architectures. The other feature of this approach is also to view the content of the "science of parallel computing" from a more philosophical basis. The controversial debate about processor communication methods appears obso...

Although block-based image compression techniques seem to be straightforward to implement on parallel MIMD architectures, problems might arise due to architectural restrictions on such parallel machines (e.g. memory constraints on distributed memory architectures). In this paper we discuss possible solutions to such problems occurring in diierent image compression techniques. Experimental resul...

We compare implementations of two integer factorisation algorithms, the elliptic curve method (ECM) and a variant of the Pollard “rho” method, on three machines (the Fujitsu AP1000, VP2200 and VPP500) with parallel and/or vector architectures. ECM is scalable and well suited for both vector and parallel architectures.

The Fourth Workshop on Using Emerging Parallel Architectures (WEPA), held in conjunction with ICCS 2012, provides a forum for exploring the capabilities of emerging parallel architectures such as GPUs, FPGAs, Cell B.E., Intel M.I.C. and multicores to accelerate computational science applications.

The production of realistic image generated by computer requires a huge amount of computation and a large memory capacity. The use of highly parallel computers allows this process to be performed faster. Distributed memory parallel computers (DMPCs), such as hypercubes or transputer-based machines, ooer an attractive performance/cost ratio when the load balancing has been balance and the partit...

Multi-domain wavelength-division multiplexing (M-WDM) is proposed as a generalization of single star-coupled WDM networks. The objective is to provide scalable interconnection schemes for different parallel computer architectures that utilize the multi-channel and tunability characteristics of photonic network devices, given their existing limitations. Device tunability results in reconfigurabl...

Parallel computing architectures have been proven to significantly boost performance and are, therefore, being increasingly adopted in industrial applications. However, our experience with applications built on parallel computing architectures reveals that often they are not designed properly to leverage the power of these architectures and consequently suffer from performance ''smells''. We be...