Typically, the execution time of a kernel on a GPU is a difficult to predict measure as it
depends on a wide range of factors. Performance can be limited by either memory transfer …

It has been more than a decade since general porous applications targeted GPUs to benefit
from the enormous processing power they offer. However, not all applications gain speedup …

Many algorithms have been parallelized successfully on the Intel Xeon Phi coprocessor,
especially those with regular, balanced, and predictable data access patterns and …

In recent years there has been much interest in the MCTS algorithm, a new, adaptive,
randomized optimization algorithm. In fields as diverse as Artificial Intelligence, Operations …

This work presents a method for a computer vision-based detection of biological viruses in
PAMONO sensor images and, related to this, methods to explore cyber-physical systems …

In 2013 Intel introduced the Xeon Phi, a new parallel co-processor board. The Xeon Phi is a
cache-coherent many-core shared memory architecture claiming CPU-like versatility …

This work presents a multi-objective design space exploration for Graphics Processing Units
(GPUs). For any given GPGPU application, a Pareto front of best suited GPUs can be …

GPUs have been widely used in the past decade to speed up the execution of general
purpose applications with high level of parallelism. The efficiency of running general …

This paper presents a multivesion parallel synthesis of digital structures based on SystemC
specification. The purpose of which is a substantial reduction in design time computing …

In this paper, we present a new algorithm for parallel Monte Carlo tree search (MCTS). It is
based on the pipeline pattern and allows flexible management of the control flow of the …