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, setting ambitious goals in that direction. This Special Track aims to solicit the ongoing works...
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...
This organization was made for the sake of our AUCSC 450 project, which was to create a multithreaded snake game. - AUCSC 450 - Parallel & Distributed Computing
The performance prediction of grid resources is helpful for both Resource Management Systems and grid users to make optimized resource usage decisions. There have been many PPS projects that span over several grid resources in several dimensions. In this paper the taxonomy for describing the PPS ...
Computer Science - DistributedParalleland Cluster ComputingAs Grids are loosely-coupled congregations of geographically distributed heterogeneous resources, the efficient utilization of the resources requires the support of a sound Performance Prediction System (PPS). The performance prediction of grid ...
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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 ...
Very few continuous query projects have been scaled out to a distributed environment. This limits their applicability in Big Data use cases. Streaming engines allow low latency data processing and provide real-time analytics. Apache Storm is a distributed stream processing framework. It provides two ...
► 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...
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 ...