Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
The problem of test generation belongs to the class of NP-complete problems and it is becoming more and more di cult as the complexity of VLSI circuits increases, and as long as e...
Dilip Krishnaswamy, Michael S. Hsiao, Vikram Saxen...
Directed test program-based verification or formal verification methods are usually quite ineffective on large cachecoherent, non-uniform memory access (CC-NUMA) multiprocessors b...
An important means of validating the design of commercial-grade shared memory multiprocessors is to run a large number of pseudo-random test programs on them. However, when intent...
A number of software packages are available for the construction of comprehensive human genetic maps. In this paper we parallelize the widely used package Genehunter. We restrict ...