The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

GPUs have become ubiquitous in the cloud due to the dramatic performance gains they
enable in domains such as machine learning and computer vision. However, offloading …

In this paper we detail the key features, architectural design, and implementation of rCUDA,
an advanced framework to enable remote and transparent GPGPU acceleration in HPC …

Ease of use and transparent access to elastic resources have attracted many applications
away from traditional platforms toward serverless functions. Many of these applications, such …

GPGPU (General-purpose computing on graphics processing units) has several difficulties
when used in cloud environment, such as narrow bandwidth, higher cost, and lower security …

A growing demand for hyperscale services has compelled hyperscalers to deploy more
compute resources at an unprecedented pace, further accelerated by the demise of …

Applications are migrating en masse to the cloud, while accelerators such as GPUs, TPUs,
and FPGAs proliferate in the wake of Moore's Law. These trends are in conflict: cloud …

Serverless platforms have been attracting applications from traditional platforms because
infrastructure management responsibilities are shifted from users to providers. Many …

Motivated by our systematic study on the diverse aspects of migrating gaming services to a
virtualized cloud environment, we designed and implemented a fully virtualized cloud …

Graphics Processing Units (GPU) have become important components in high performance
computing (HPC) systems for their massively parallel computing capability and energy …