cluster computing

The Lab is well networked and uses cluster computing for better performance.

High performance cluster computing is a well known use of distributed systems for performance improvements.

It can also be used in cluster computing, in which nodes may not have local disks.

Lustre is a parallel distributed file system, generally used for large-scale cluster computing.

PVFS was designed for use in large scale cluster computing.

Server farms are commonly used for cluster computing.

Blade servers function well for specific purposes such as web hosting, virtualization, and cluster computing.

The use of multithreading can also accelerate 3D performance and enable cluster computing with multi-user interactivity.

Scalable Cluster Environment, a software project for cluster computing.

One can view NUMA as a tightly coupled form of cluster computing.

Network-intensive applications like networked storage or cluster computing need a network infrastructure with a high bandwidth and low latency.

But the development of increasingly powerful microprocessors and new software in the 1990s let automakers adopt a different and less-costly strategy: cluster computing.

Gfarm file system is an Open Source distributed file system, generally used for large scale cluster computing.

Some fashionable (2011) computer architectures include cluster computing and Non-Uniform Memory Access.

His worked in the modeling of nanoelectronic devices, parallel cluster computing, genetic algorithms, and parallel image processing.

The IT Department has laboratory facilities for internet technology which gives students opportunity to work on emerging technologies like cluster computing, artificial intelligence, and multimedia processing.

Any planned sharing of data on different computers within a LUN requires advanced solutions, such as SAN file systems or clustered computing.

Adoption of MPI-1.2 has been universal, particularly in cluster computing, but acceptance of MPI-2.1 has been more limited.

Similarly, the CX1000-SC node, when used for cluster computing, is intended to be a compute node, but can instead act as the master (service) node.

Spark is a data-parallel cluster computing framework developed in the AMPLab at UC Berkeley.

SDSC developed the Rocks cluster computing environment, and is a pioneer in data management software development, including the storage resource broker (SRB).

Scientific computing, including cluster computing and grid computing and various volunteer computing projects; see the list of distributed computing projects.

While a graduate student at MIT, he initially worked on high-performance system area network for cluster computing (StarT-Jr and Start-X).

What distinguishes grid computing from conventional high performance computing systems such as cluster computing is that grids tend to be more loosely coupled, heterogeneous, and geographically dispersed.

The first building constructed specifically for the campus is the Pôle commun de recherche en informatique (Joint Research Cluster Computing), which was inaugurated in November 2011.