PSDG is a parallel synthetic data generator designed to generate "industrial sized" data sets quickly using cluster computing. PSDG depends on SDDL, a synthetic data description language that provides flexibility in the types of data we can generate.
We present detailed experimental work involving a commercially available large scale shared memory MIMD paraliel computer having a software controlled cache coherence mechanism. The implementation of a scalable MIMD computer with hardware-controlled coherent shared hierarchical memory is indeed a formidable task and has yet to be effectively implemented. We… (More)