Speaker:

Koji Inoue, Kyushu University, Japan

Title:

3D Acceleration for High Performance Image Processing

Abstract:

This talk focuses on a novel many-core execution strategy for real-time model predictive controls. The key idea is to exploit predicted input values, which are produced by the model predictive control itself, to speculatively solve an optimal control problem. It is well known that control applications are not suitable for multi- or many-core processors, because feedback-loop systems inherently stand on sequential operations. Since the proposed scheme does not rely on conventional thread-/data-level parallelism, it can be easily applied to such control systems. An analytical evaluation using a real application demonstrates the potential of performance improvement achieved by the proposed speculative executions.

Bio:

Koji Inoue was born in Fukuoka, Japan in 1971. He received the B.E. and M.E. degrees in computer science from Kyushu Institute of Technology, Japan in 1994 and 1996, respectively. He received the Ph.D. degree in Department of Computer Science and Communication Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan in 2001. In 1999, he joined Halo LSI Design & Technology, Inc., NY, as a circuit designer. He is currently an associate professor of the Department of Advanced Information Technology, Kyushu University. His research interests power-aware computing, high-performance computing, dependable processor architecture, secure computer systems, 3D microprocessor architectures, and multi/many-core architectures.