When data mining research is conducted, it is difficult to obtain precise domain knowledge to
set a similarity threshold. Furthermore, noise and missing values are inevitable. Missing …

Image mapping on 3D huge scenarios of the real world is one of the most fundamental and
computational expensive processes for the integration of multi-source sensing data. Recent …

The continuous advances and innovations in computer science and technology carry with
them the need to develop new algorithms, solutions and hardware to meet the demands of …

One of the most time-consuming kernels of an epileptic seizure detection app is the
computation of the Dynamic Time Warping (DTW) Distance Matrix. This kernel is a good …

In the last few years, the heterogeneous architectures have become dominant in each part of
the computing industry: from heterogeneous GPU accelerators joining multi-core CPUs …

The emergence of FPGAs in the High-Performance Computing domain is arising thanks to
their promise of better energy efficiency and low control latency, compared with other …

With the increase in available data, specifically time series data, the importance of different
data analysis techniques has increased. One technique used by many data scientists is …

With the increase in available data, specifically time series data, the importance of different
data analysis techniques has increased. One technique used by many data scientists is …

La evolución de las FPGAs como dispositivos para el procesamiento con alta eficiencia
energética y baja latencia de control, comparada con dispositivos como las CPUs y las …