1 Faculty of Information Technology, Pázmány Péter Catholic University, Práter u. 50/A, 1083 Budapest, Hungary 2Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u. 13-17. , 1111 Budapest, Hungary 3 Infobionic and Neurobiological Plasticity Research Group, Hungarian Academy of Sciences, Pázmány University and Semmelweis University, Práter u. 50/A, 1083 Budap...

In this paper we explore the use of Astex, a C language partitioning tool, to detect parts of code that can potentially be speeded up by using Graphical Processing Units (GPU).

Large-scale biophysically detailed computer models of the heart provide a useful tool to understand dynamics of cardiac excitation and mechanisms underlying lethal cardiac arrhythmias. However, high demanding of intensive high performance computing environments limits the practical application of such models. This paper presents a novel use of a desktop personal computer and the CUDA parallel c...

Generally, big data computing deals with massive and high dimensional data such as DNA microrray data, financial data, medical imagery, satellite imagery and hyperspectral imagery. Therefore, big data computing needs advanced technologies or methods to solve the issues of computational time to extract valuable information without information loss. In this context, generally, Machine Learning (M...

This paper presents an evaluation of the state of the art in Graphics Processing Unit (GPU) algorithmic techniques. Fast, portable methods for maintaining state between independent passes of an algorithm are compared and contrasted with similar techniques from the previous generation, which are still in widespread use in the graphical and non-graphical fields today. The performance of these fea...

We discuss the design and implementation of a parallel GUI Service in Tessellation OS and investigate its capability to provide soft service-time guarantees to visual applications. Use of GPU bandwidth reservation permits our GUI service to miss only 0.1% of client deadlines under an overloaded scenario, while a more traditional windowing system misses over 50% of its deadlines. Further, the GU...