high performance computing on graphics processing units: hgpu.org

CONTEXT: Reinforcement Learning (RL) is a time consuming effort that requires a lot of computational power as well. There are mainly two approaches to improving RL efficiency, the theoretical mathematics and algorithmic approach or the practical implementation approach. In this study, the approaches are combined in an attempt to reduce time consumption. OBJECTIVES: We investigate […]

Pattern matching is a highly computationally intensive operation used in SNORT system but due to the increasingly storage capacity and the link speed the amount of data that need to be match against pattern is increased rapidly and traditional system is fail to match that data. GPU Computing Have attracted lots of attention due to […]

CONTEXT: Procedural Terrain Generation refers to the algorithmical creation of terrains with limited or no user input. Terrains are an important piece of content in many video games and other forms of simulations. OBJECTIVES: In this study a tile-based approach to creating endless terrains is investigated. The aim is to find if real-time performance is […]

The scope of this research paper is one very important aspects nowadays, the security and management of one of the most important services the email and all of the alike online services today. This paper attempts to investigate the possible benefits of using standard signature-driven spam detection logic in combination with algorithm for network intrusion […]

Modern-day computer security relies heavily on cryptography as a means to protect the data that we have become increasingly reliant on. The main research in computer security domain is how to enhance the speed of RSA algorithm. The computing capability of Graphic Processing Unit as a co-processor of the CPU can leverage massive-parallelism. This paper […]

Matrix multiplication is a fundamental linear algebra routine ubiquitous in all areas of science and engineering. Highly optimised BLAS libraries (cuBLAS and clBLAS on GPUs) are the most popular choices for an implementation of the General Matrix Multiply (GEMM) in software. However, performance of library GEMM is poor for small matrix sizes. In this thesis […]

The examination timetabling problem belongs to the class of combinatorial optimization problems and is of great importance for every University. In this paper, a hybrid evolutionary algorithm running on a GPU is employed to solve the examination timetabling problem. The hybrid evolutionary algorithm proposed has a genetic algorithm component and a greedy steepest descent component. […]

Localization of cortical regions of interests (ROIs) in the human brain via analysis of Diffusion Tensor Imaging (DTI) data plays a pivotal role in basic and clinical neuroscience. In recent studies, 358 common cortical landmarks in the human brain, termed as Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs), have been identified. Each of these […]

Parallel computing is a topic that became very popular in the last few decades. Parallel computers are being used in many different areas of science such as astrophysics, climate modelling, quantum chemistry, fluid dynamics and medicine. Parallel programming is a type of programming where computations can be performed concurrently on different processors or devices. There […]

Lossless compression is still in high demand in medical image applications despite improvements in the computing capability and decrease in storage cost in recent years. With the development of General Purpose Graphic Processing Unit (GPGPU) computing techniques, sequential lossless image compression algorithms can be modified to achieve more efficiency and speed. Backward Coding of Wavelet […]

Highly detailed models are commonly used in computer games and other interactive rendering applications. Intuitive editing methods are thus also required in addition to rendering algorithms. Progressive meshes are often employed to improve the rendering performance by reducing the number of rasterized triangles. The classical work flow is to generate a model and then use […]

Despite the potential divergence of depth-first ray tracing [AL09], it is nevertheless the most efficient approach on massively parallel graphics processors. Due to the use of specialized caching strategies that were originally developed for texture access, it has been shown to be compute rather than bandwidth limited. Especially with recents developments however, not only the […]