Dongarra, J., Shimasaki, M., Tourancheau, B.: Clusters and computational grids for scien- tific computing. Parallel Computing. 27 (11) (2001) 1401-1402J. Dongarra, B. Tourancheau, "Special section: Cluster and
The Internet computing model with its ubiquitous networking and computing infrastructure is driving a new class of interoperable applications that benefit both from high computing power and multiple Internet connections. In this context, grids are promising computing platforms that allow to aggregate ...
Keywords:,lesystem,gridcomputing,clustercomputing 1.Introduction Largescalecomputinggridsgiveordinaryusersaccesstoenormouscomputingpoweratthetouchofabutton.ProductionsystemssuchastheTeraGrid[6],theOpenScienceGrid[7],andEGEE[1]allregularlyprovidetensofthousandsofCPUstocycle-hungryresearchersinawidevarietyofdomains.The...
This is an active area of research and has received (deservedly) a lot of attention from the National Science Foundation. The most significant differences between cluster computing and grid computing are that computing grids typically have a much larger scale, tend to be used more asynchronously, ...
An open-source, scalable, distributed monitoring system for high-performance computing systems such as clusters and Grids. It is carefully engineered to achieve very low per-node overheads and high concurrency. Ganglia is currently in use on thousands of clusters around the world and can scale to...
The 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. (IEEE/ACM CCGrid 2017) Advances in architectures, networks, systems and middleware technologies are leading to new concepts and platforms for computing, ranging from Clusters and Grids to Clouds and Datacenters. The 17t...
In this approach, hierarchical grids divide and conquer large datasets in their subset’s hierarchy. However, the clustering regions limit the search scope, minimizing the data space for producing data fields. HGCUDF exhibits rapid execution and stability, which improves the clustering results on a ...
Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel ...
Port your applications to GPUs and distributed computing (usingCUDA-aware MPI); Tune GPU and CPU load balancing for your application; Use the cluster as development platform; Early experience means increased readiness; The investment is relatively small for a research prototype cluster ...
Using a hybrid platform for cluster, NoW and GRID computing Clusters, Networks of Workstations (NoW) and Grids offer a new, highly available and cost-effective parallel computing paradigm. Their simplicity, versatil... D Kehagias,M Grivas,G Pantziou - Facta universitatis - series: Electronics ...