
Commodity class High Performance Computing clusters (HPCC) or Beowulf clusters have served the HPC community well over the last decade. However, in the next 2 years, we will see a new generation of HPCC systems - the Cached Coherent Non-Uniform Memory (ccNUMA) clusters - built from commodity x86 systems with a ccNuma enabled interconnect which will displace the current generation of HPC clusters and large SMP servers.
NumaConnect
NumaScale’s NumaConnect™ technology enables scalable servers at a fraction of the price of current enterprise SMP systems. NumaConnect provides a single system image to a cluster of x86 commodity servers by providing full support for virtualization of processing, memory and IO, and can be used with standard operating systems like Linux, Windows and Solaris. Standard enterprise applications like Exchange or databases like MySQL or Oracle - can run without any code changes. Of course HPC/MPI applications will run without any change except FASTER! Download whitepaper here!

NumaChip
What is ccNUMA?
Cache-Coherent Non-Uniform Memory Access/Architecture (ccNUMA) is a computer memory design used in multiprocessors, where the memory is distributed across multiple nodes/processors where the processor cache is coherent to ensure data integrity and performance. ccNUMA architectures are the basis of symmetric multiprocessing (SMP) servers today.
With a new generation of ccNuma enabled interconnect, commodity x86 servers can be ‘clustered’ to form virtual SMPs..... at commodity prices!

Why ccNUMA?
As the HPC problem sizes becomes more complex and our scientist and engineers try to solve more complicated problems, PetaScale clusters will be the norm. Commodity x86 ccNUMA clusters are the only reasonable method to build and manage such a cluster cost effectively.

Complexity of Today’s HPC Clusters
.. all of our customers tell us managing a HPC cluster is complex!

ccNUMA - Best features of Beowulf clusters and SMP servers

What will the Top500 look like in the next decade?

ccNUMA systems will displace large SMPs and beowulf clusters - and we will see a repeat of the above trend over the next decade on the Top500.