Processing-in-memory technology for knowledge discovery algorithms

The goal of this work is to gain insight into whether processingin-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent an important class of emerging knowledge discovery techniques. PIM chips that integrate processor logic into memory devices offer a new opportunity for bridging the growing gap between processor and memory speeds, especially for applications with high memory-bandwidth requirements. As LD algorithms are data-intensive and highly parallel, involving read-only queries over large data sets, parallel computing power extremely close (physically) to the data has the potential of providing dramatic computing speedups. For this reason, we evaluated the mapping of LD algorithms to a processing-in-memory (PIM) workstationclass architecture, the DIVA / Godiva hardware testbeds developed by USC/ISI. Accounting for differences in clock speed and data scaling, our analysis shows a performance gain on a single PIM, with the ...

• Type: Conference
• Year: 2006
• Where: DAMON
• Authors: Jafar Adibi, Tim Barrett, Spundun Bhatt, Hans Chalupsky, Jacqueline Chame, Mary W. Hall
• Keywords: DAMON 2006, Informatics, LD Algorithms, Link Discovery Algorithms, PIM Chips