The Petacomp Machine - A MIMD Cluster for Parallel Pattern-mining
Olaf René Birkeland, Ola Snøve, Arne Halaas, Magnar Nedland, Pål Sætrom · 2006
Multiple instruction stream-single data stream (MISD) architectures have not found many practical applications in supercomputing. We present a multiple instruction stream-multiple data stream (MIMD) cluster implementation that uses MISD search processors with extreme pattern mining performance as a building block. We use PCI cards that hold sixteen search processors with local memory to build a relatively small cluster of five PC nodes with six PCI cards each. This cluster can handle anything between 64 independent queries at 48 GB per second, to 30,720 independent queries at 100 MB per second. The cluster's performance characteristics are such that we can easily scale the system to 1015operations per second with containable overhead using just 100 nodes. Further, the solution has lower power consumption and memory bandwidth requirements than comparable technologies.