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Clusters

Clusters or Compute Clusters

A computer cluster is a group of linked computers, working together closely so that in many respects they form a single computer. The components of a cluster are commonly, but not always, connected to each other through fast local area networks. Clusters are usually deployed to improve performance and/or availability over that of a single computer, while typically being much more cost-effective than single computers of comparable speed or availability.

 

MPI is a widely-available communications library used in clusters that enables parallel programs to be written in C, Fortran, Python, OCaml, and many other programming languages.

 

The GNU/Linux world supports various cluster software; for application clustering, there is Beowulf, distcc, and MPICH. Linux Virtual Server, Linux-HA - director-based clusters that allow incoming requests for services to be distributed across multiple cluster nodes.

 

MOSIX, openMosix, Kerrighed, OpenSSI are full-blown clusters integrated into the kernel that provide for automatic process migration among homogeneous nodes. OpenSSI, openMosix and Kerrighed are single-system image implementations.

 

Microsoft Windows Compute Cluster Server 2003 based on the Windows Server platform provides pieces for High Performance Computing like the Job Scheduler, MSMPI library and management tools.

 

Numascale introduces shared memory systems at the same cost as clusters. This opens for a even higher cost-effectiveness for many application areas.

 

→Numascale's on clusters

The Change is on

From Cluster
cluster
shared memory with ccnuma by numachip
To Scalable ccNUMA SMP
Cache Coherence - ccNuma - Clusters - Coherent - Directory Based Cache Coherence - Hypertransport - InfiniBand - Numa - NumaChip - Numascale - Snooping
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