Heterogeneous GPU reallocation

Wednesday July 5th, 1-2PM @ BA5205

Speaker: James Gleeson

Heterogeneous GPU reallocation

Emerging cloud markets like spot markets and batch computing services scale up services at the granularity of whole VMs. In this paper, we observe that GPU workloads underutilize GPU device memory, leading us to explore the benefits of reallocating heterogeneous GPUs within existing VMs. We outline approaches for upgrading and downgrading GPUs for OpenCL GPGPU workloads, and show how to minimize the chance of cloud operator VM termination by maximizing the heterogeneous environments in which applications can run.

James is a PhD student under Eyal de Lara.  He has done research in mobile security for both physical and software attacks on Android phones.  His current research interests are in heterogeneous computing in data centers.