In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

The ever-increasing demand for high performance Big Data analytics and data processing,
has paved the way for heterogeneous hardware accelerators, such as Graphics Processing …

This paper aims to exploit the massive parallelism of Field-Programmable Gate Arrays
(FPGAs) by programming them in OCaml, a multiparadigm and statically typed language. It …

Modern commodity devices are nowadays equipped with a plethora of heterogeneous
devices serving different purposes. Being able to exploit such heterogeneous hardware …

Adopting heterogeneous execution on GPUs and FPGAs in managed runtime systems, such
as Java, is a challenging task due to the complexities of the underlying virtual machine. The …

Although Graphics Processing Units (GPUs) have become pervasive for data-parallel
workloads, the efficient exploitation of their tiered memory hierarchy requires explicit …

In this article, we present TornadoQSim, an open-source quantum circuit simulation
framework implemented in Java. The proposed framework has been designed to be …

Adopting heterogeneous execution on GPUs and FPGAs in managed runtime systems, such
as Java, is a challenging task due to the complexities of the underlying virtual machine. The …

The ever-increasing demand for high-performance Big Data analytics and data processing
has paved the way for heterogeneous hardware accelerators, such as Graphics Processing …

En este documento se presentan los resultados del diseño y puesta en marcha de un
laboratorio remoto el cual permite realizar experimentos con sistemas digitales y de control …