Analysis of Transposition-Table-Driven Work Scheduling in Distributed Search

This paper discusses a new work-scheduling algorithm for parallel search of single-agent state spaces, called Transposition-Table-Driven Work Scheduling, that places the transposition table at the heart of the parallel work scheduling. The scheme results in less synchronization overhead, less processor idle time, and less redundant search effort. Measurements on a 128-processor parallel machine show that the scheme achieves close-to-linear speedups; for large problems the speedups are

• Type: Journal
• Year: 2002
• Where: TPDS
• Authors: John W. Romein, Henri E. Bal, Jonathan Schaeffer, Aske Plaat
• Keywords: Processor Idle Time, Single-agent State Spaces, TPDS 2002, Transposition-Table-Driven Work Scheduling