Parallel Data Mining

Data Mining
Diagram courtesy of BYTE Magazine

TCP Linda   Parallel Acceleration Engine

Parallel processing accelerates performance of data mining by dividing a complex query into multiple parts and assigning each part to a separate processor. The processors work concurrently, unlike serial processors, which address one process after another.

Paradise   Parallel Data Mining Acceleration Engine

While data mining is unquestionably being driven by its value and benefits, the parallel data mining performance boost from our Paradise technology is perfect for users with computational-intensive or performance-critical requirements.

Immediate benefits for:

  • Many simultaneous users
  • Compute-intensive queries
  • Very Large Database acceleration
Copyright 2007 Scientific Computing Associates, Inc.