Enhancing the rCUDA remote GPU virtualization framework: From a prototype to a production solution

Abstract

The use of hardware accelerators to increase the performance of parallel applications is very common nowadays. For a number of reasons, however, the access to local accelerators is not always feasible (e.g., lack of space or cost). It would also be the case that some applications benefit from having access to more accelerators than the physically possible. To address all these concerns, middleware offering access not only to local but also to remote accelerators appeared. This paper presents a high-level summary of a dissertation focused on enhancing one of these middleware, called rCUDA.