Markov decision processes provide a formal framework for a computer to make decisions
autonomously and intelligently when the effects of its actions are not deterministic. This …

This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-
performance computing (HPC). It includes an analysis of Docker and Kubernetes …

We propose, implement and evaluate a work stealing based scheduler, called HWS, for
graph processing on heterogeneous CPU-FPGA systems that tightly couple the CPU and …

The trend for heterogeneous embedded systems is the integration of accelerators and
general-purpose CPU cores on the same die. In these integrated architectures, like the Zynq …

This paper presents an optimization strategy to online maximize the acetate productivity rate
in a dark fermentation (DF) process. The Golden Section Search algorithm is used to …

We consider software-hardware acceleration of K-means clustering on the Intel Xeon+
FPGA platform. We design a pipelined accelerator for K-means and combine it with CPU …

In partially run-time reconfigurable (PRR) FPGAs, hardware tasks should be configured
before their execution. The configuration delay imposed by the reconfiguration process …

The search for a good machine learning (ML) model takes a long time and requires the
considerations of many alternatives, including data preprocessing, algorithm selection, and …

The objective of researchers and developers has always been to attain superior
performance for their computing applications. In this regard, the use of Graphic Processing …

This thesis deals with the problem of finding effective methods for programming and
distributing data-parallel applications for heterogeneous multiprocessor systems. These …