Predictive Runtime Code Scheduling for Heterogeneous Architectures

Heterogeneous architectures are currently widespread. With the advent of easy-to-program general purpose GPUs, virtually every recent desktop computer is a heterogeneous system. Combining the CPU and the GPU brings great amounts of processing power. However, such architectures are often used in a restricted way for domain-specific applications like scientific applications and games, and they tend to be used by a single application at a time. We envision future heterogeneous computing systems where all their heterogeneous resources are continuously utilized by different applications with versioned critical parts to be able to better adapt their behavior and improve execution time, power consumption, response time and other constraints at runtime. Under such a model, adaptive scheduling becomes a critical component. In this paper, we propose a novel predictive user-level scheduler based on past performance history for heterogeneous systems. We developed several scheduling policies and...

• Type: Conference
• Year: 2009
• Where: HIPEAC
• Authors: Víctor J. Jiménez, Lluís Vilanova, Isaac Gelado, Marisa Gil, Grigori Fursin, Nacho Navarro
• Keywords: Heterogeneous Architectures, Heterogeneous Computing Systems, Heterogeneous Systems, HIPEAC 2009, System Software