FPGAs excel in performing simple operations on high-speed streaming data, at high
(energy) efficiency. However, so far, their difficult programming model and poor floating …

This article aims to identify and suggest data science strategies to strengthen scientific
research in astronomy. The improvements in data workflow performance that can be …

The demand for computing power, along with the diversity of computational problems,
culminated in a variety of heterogeneous architectures. Among them, hybrid architectures …

Since the demand for computing power increases, new architectures arise to obtain better
performance. An important class of integrated devices is heterogeneous architectures, which …

Field programmable gate arrays (FPGA) give developers the ability to design application
specific hardware by means of software, providing a method of accelerating algorithms with …

At the beginning of the 21st century, large telescopes are coming into operation, making
astronomy a Big Data science like few others. Recently, given this scenario, applied …

A processor, with a GPU and a CPU integrated on the same chip, is a promising low-power
system for floating-point intensive applications. While an integrated GPU is not designed to …

This volume contains the papers presented at Euro-Par 2019, the 25th International
European Conference on Parallel and Distributed Computing, held during August 26–30 …

In this paper, we optimize a widely used kernel, radial basis function, in a support vector
machine as a case study to evaluate the potential of using FPGAs and the capabilities of …