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 introduces a platform to support serverless computing for scalable event-driven
data processing that features a multi-level elasticity approach combined with virtualization of …

With the increasing usage, scale, and complexity of Deep Learning (DL) models, their
rapidly growing energy consumption has become a critical concern. Promoting green …

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 …

With the increasing usage, scale, and complexity of Deep Learning (dl) models, their rapidly
growing energy consumption has become a critical concern. Promoting green development …

Hardware accelerators are available on the cloud for enhanced analytics. Next-generation
clouds aim to bring enhanced analytics using accelerators closer to user devices at the edge …

Graphics Processing Units (GPUs) are currently used in many computing facilities. However,
GPUs present several side effects, such as increased acquisition costs as well as larger …

Network-based deployments within the Internet of Things increasingly rely on the cloud-
controlled federation of individual networks to configure, authorize, and manage devices …

Strategies in repeated games can be classified as to whether or not they use memory and/or
randomization. We consider Markov decision processes and 2-player graph games, both of …

Workload co-location has become the de-facto approach for hosting applications in Cloud
environments, leading, however, to interference and fragmentation in shared resources of …