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

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 …

The OpenCL specification tightly binds a command queue to a specific device. For best
performance, the user has to find the ideal queue-device map** at command queue …

OpenCL is a portable interface that can be used to program cluster nodes with
heterogeneous compute devices. The OpenCL specification tightly binds its workflow …

Popular accelerator programming models rely on offloading computation operations and
their corresponding data transfers to the coprocessors, leveraging synchronization points …

The diverse needs of customers drive cloud providers to incorporate more GPU-enabled
services. It is known that users barely utilize GPUs. Hence, GPU virtualization techniques …

Modern datacenter servers hosting popular Internet services face significant and multi-facet
challenges in performance and power control. The user-perceived performance is the result …

In the last few years, thanks to their computational power and progressively increased
programmability, GPUs have become part of HPC clusters. As a result, widely used open …

Nowadays, people use multiple devices to meet the growing requirement for computing.
With the application of multicard computing, fault tolerance, load balance, and resource …

Heterogeneous systems with different types of compute devices are common nowadays in
the field of High Performance Computing (HPC). This heterogeneity is not limited to compute …