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Plenary Lecture

Parallel Storing of Independent Data Sets in Multiple Hash Tables

Professor Eleazar Jiménez Serrano
Department of Automotive Science
Graduate School of Integrated Frontier Sciences
Kyushu University
JAPAN
Email: eleazar.jimenez.serrano@kyudai.jp

Abstract: Implicit partition of data and instructions sets is carried out in multi-core architectures providing parallel computing capabilities. We focus on exploring the state-spaces generated from Petri nets with an explicit partition of data sets stored in multiple hash tables. We describe the architecture and algorithm allowing the parallel exploration of the state space and storage of the data sets as independent multiple hash tables. We discuss the necessity or not of main memory and cache update during the exploration for accelerating the parallel exploration.

Brief biography of the speaker: Professor Jiménez Serrano received a B.S. degree in Systems and Industrial Engineering from the University of Sonora and a M.S. degree in Systems Engineering from the A. University of B. California. His work experience includes a position as an associate engineer in Allied Signal Aerospace and SONY, and as a lecturer at the A. University of B. California. He was granted with the JICA and Monbusho scholarship to continue his graduate studies in Japan. He has a PhD degree in computer sciences from Kyushu University. He is also a visiting researcher in TOYOTA. He is currently a lecturer and researcher (assistant professor) at Kyushu University. He has delivered several publication, presentations and delivered keynote speeches at international conferences.

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