The Computational Plant project at Sandia National Laboratories is developing a large-scale, massively parallel computing resource from a cluster of commodity computing and networking components. We are combining the knowledge and research of previous and ongoing commodity cluster projects with our expertise in designing, developing, using, and maintaining large-scale MPP machines. This paper describes the main parts of the architecture and discusses the most important design choices and decisions. Scaling to hundreds and thousands of nodes requires more than simply combining readilyavailable software and hardware. We will highlight some of the more crucial pieces that make Cplant scalable. 1 Introduction The Computational Plant (Cplant) ...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
In this paper the authors present performance results from several parallel benchmarks and applicati...
Technical ReportThis paper will discuss high performance clustering from a series of critical topics...
The Computational Plant, or Cplant is a commodity-based supercomputer under development at Sandia Na...
Our long-term goal is to investigate the potential of multicomputers constructed of commercial, off-...
Sandia's entry into utilizing clusters of networked workstations is called Computational Plant or CP...
Goodyear Aerospace delivered the Massively Parallel Processor (MPP) to NASA/Goddard in May 1983, ove...
CP-PACS (Computational Physics by Parallel Array Computer System) is a massively parallel processor ...
The Computational Plant or Cplant is a commodity-based distributed-memory supercomputer under develo...
In the past decade there has been a dramatic shift from mainframe or ‘host-centric ’ computing to a ...
For three years, members of the Computer Science Department at the University of Rochester have used...
Unlike traditional 'serial' processing computers in which one central processing unit performs one i...
The Petascale Computing Enabling Technologies (PCET) project addressed challenges arising from curre...
Sandia`s High Performance Computing Environment requires a hierarchy of resources ranging from deskt...
This paper introduces the basic concepts of Grid architectures, i.e., large scale computer networks ...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
In this paper the authors present performance results from several parallel benchmarks and applicati...
Technical ReportThis paper will discuss high performance clustering from a series of critical topics...
The Computational Plant, or Cplant is a commodity-based supercomputer under development at Sandia Na...
Our long-term goal is to investigate the potential of multicomputers constructed of commercial, off-...
Sandia's entry into utilizing clusters of networked workstations is called Computational Plant or CP...
Goodyear Aerospace delivered the Massively Parallel Processor (MPP) to NASA/Goddard in May 1983, ove...
CP-PACS (Computational Physics by Parallel Array Computer System) is a massively parallel processor ...
The Computational Plant or Cplant is a commodity-based distributed-memory supercomputer under develo...
In the past decade there has been a dramatic shift from mainframe or ‘host-centric ’ computing to a ...
For three years, members of the Computer Science Department at the University of Rochester have used...
Unlike traditional 'serial' processing computers in which one central processing unit performs one i...
The Petascale Computing Enabling Technologies (PCET) project addressed challenges arising from curre...
Sandia`s High Performance Computing Environment requires a hierarchy of resources ranging from deskt...
This paper introduces the basic concepts of Grid architectures, i.e., large scale computer networks ...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
In this paper the authors present performance results from several parallel benchmarks and applicati...
Technical ReportThis paper will discuss high performance clustering from a series of critical topics...