Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS

Compute nodes are increasingly being equipped with GPGPUs and FPGA accelerators to increase throughput and energy efficiency. However, they face uncertainty during operation and static operation techniques are not able to tackle it. To this end, this paper investigates the use of the learning classifier system XCS for the assignment of independent tasks. The initial results indicate that the operational environment must exhibit patterns that can be learned and exploited to gain an advantage over static heuristics.

Speaker: Tim Hansmeier