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

This paper provides an overview of software-defined “hardware” infrastructures (SDHI).
SDHI builds upon the concept of hardware (HW) resource disaggregation. HW resource …

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 …

On large-scale high performance computing (HPC) systems, applications are provisioned
with aggregated resources to meet their peak demands for brief periods. This results in …

The use of graphics processing units (GPUs) to accelerate some portions of applications is
widespread nowadays. To avoid the usual inconveniences associated with these …

Modern applications demand resources at an unprecedented level. In this sense, data-
centers are required to scale efficiently to cope with such demand. Resource disaggregation …

Unified Virtual Memory (UVM) was recently introduced with CUDA version 8 and the Pascal
GPU. The older CUDA programming style is akin to older large-memory UNIX applications …

Using GPUs reduces execution time of many applications but increases acquisition cost and
power consumption. Furthermore, GPUs usually attain a relatively low utilization. In this …

Most software development tools and applications are designed from a single-user
perspective and are bound to the desktop and Integrated Development Environments …

Graphics processing unit (GPU) accelerated processing performs significant efficiency in
many multimedia applications. With the development of GPU cloud computing, more and …