Automatic parallelization is a promising strategy to improve application performance in the multicore era. However, common programming practices such as the reuse of data structur...
Nick P. Johnson, Hanjun Kim, Prakash Prabhu, Ayal ...
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
The difficulty of handling out-of-core data limits the performance of supercomputers as well as the potential of the parallel machines. Since writing an efficient out-of-core ve...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
Abstract. In this paper we suggest a strategy to design job scheduling systems. To this end, we first split a scheduling system into three components: Scheduling policy, objective ...
Simultaneous MultiThreading (SMT) achieves better system resource utilization and higher performance because it exploits ThreadLevel Parallelism (TLP) in addition to “conventiona...