Automatic Calibration of Performance Models on Heterogeneous Multicore Architectures

Multicore architectures featuring specialized accelerators are getting an increasing amount of attention, and this success will probably influence the design of future High Performance Computing hardware. Unfortunately, programmers are actually having a hard time trying to exploit all these heterogeneous computing units efficiently, and most existing efforts simply focus on providing tools to offload some computations on available accelerators. Recently, some runtime systems have been designed that exploit the idea of scheduling – as opposed to offloading – parallel tasks over the whole set of heterogeneous computing units. Scheduling tasks over heterogeneous platforms makes it necessary to use accurate prediction models in order to assign each task to its most adequate computing unit [2]. A deep knowledge of the application is usually required to model per-task performance models, based on the algorithmic complexity of the underlying numeric kernel. We present an alternate, aut...

• Type: Conference
• Year: 2009
• Where: EUROPAR
• Authors: Cédric Augonnet, Samuel Thibault, Raymond Namyst
• Keywords: EUROPAR 2009, Heterogeneous Computing Units, Performance Computing Hardware, Performance Models