The research community works fervently to address the needs of novel applications by pushing the boundaries in the field of distributed and high-performance computing. Ongoing projects are pooling resources, se
The use of parallel and distributed computing has increased dramatically over the past few years, giving rise to a variety of projects, implementations, and buzzwords surrounding the subject. Although the areas of parallel and distributed computing have traditionally evolved separately, these models ...
13thInternational conference on Parallel, Distributed Computing and Applications (IPDCA 2024)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Parallel, Distributed Computing. Original papers are invited on Algorithms and Applications, co...
2021, Journal of Parallel and Distributed Computing Citation Excerpt : LBs exist on different flavors regarding topology (e.g. centralized or distributed) and are commonly implemented as sender-initiated (or push-based) schemes. Periodic LBs target a different application set, when compared to WSs,...
► We present two packages for parallel distributed computing with Python. ► MPI for Python (mpi4py) provides bindings for the MPI standard. ► PETSc for Python (petsc4py) provides bindings for PETSc libraries. ► MPI and PETSc for Python target large-scale scientific application devel...
TrackEducation and Software ProcessesFreeSubscription 790-014Software Size Estimation of Individual Projects Cuauhtémoc López-Martín, Arturo Chavoya, and María E. Meda-Campaña Abstract PDF Format 790-007Do Knowledge Experience Packages Improve Knowledge Transfer? Results from a Controlled Experiment ...
The Implementation of ASSIST, an Environment for Parallel and Distributed Programming - Aldinucci, Campa, et al. - 2003 () Citation Context ...f expertise that will make it difficult for Grid computing to achieve widespread acceptance. Indeed, several research projects are targeted toward Grid ...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Examples include use of Microsoft Visual Studio and the .NET extension for parallel computing, Microsoft Windows HPC Server, decentralized distributed service-oriented programming, grid computing, and so on. Many of these are rich in ideas that are based on decades of research; side-effect–free ...
and Australia parallel and distributed computing has been recognised as strategic technologies for driving their moves towards knowledge economies. A number of projects and initiatives are underway in both countries in these areas. There is a natural interest in tools which support collaboration and ...