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 …

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

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 …

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 …

Serverless computing and, in particular, the functions as a service model has become a
convincing paradigm for the development and implementation of highly scalable …

Data crowdsourcing is one of most remarkable results of pervasive and internet connected
low-power devices making diverse and different “things” as a world wide distributed system …

Data from sensors incorporated into mobile devices, such as networked navigational
sensors, can be used to capture detailed environmental information. We describe here a …