high performance computing on graphics processing units: hgpu.org

Volume rendering is quite an old concept of representing images, dating back to the 1980’s. It is very useful in the medical field for visualizing the results of a computer tomography (CT) and magnet resonance tomography (MRT) in 3D. Apart from these two major applications for volume rendering, there aren’t many other fields of usage […]

As the conventional means of analyzing the similarity between a query sequence and database sequences, the Smith-Waterman algorithm is feasible for a database search owing to its high sensitivity. However, this algorithm is still quite time consuming. CUDA programming can improve computations efficiently by using the computational power of massive computing hardware as graphics processing […]

Soft matter as a research topic extends over fields from a multitude of disciplines. Biological systems are nearly exclusively composed of soft matter. Nearly everything that animals eat is considered soft matter. Large parts of chemistry deal with soft matter, such as the whole field of polymers. Many materials, expecially modern ones, are soft matter. […]

In this paper, a contrastive evaluation of massive parallel implementations of suffix tree and suffix array to accelerate genome sequence matching are proposed based on Intel Core i7 3770K quad-core and NVIDIA GeForce GTX680 GPU(kepler architecture). Due to the more regular execution flow of the indexed binary search algorithm, the more efficient use of the […]

Recently, general-purpose computing on graphics processing units (GPGPU) has been enabled on mobile devices thanks to the emerging heterogeneous programming models such as OpenCL. The capability of GPGPU on mobile devices opens a new era for mobile computing and can enable many computationally demanding computer vision algorithms on mobile devices. As a case study, this […]

Recently, using GPUs for coprocessing in database systems has been shown to be beneficial. However, information systems processing confidential data cannot benefit from GPU acceleration yet because knowledge of security issues and forensicexaminations on GPUs are still fragmentary. In this paper, we point out key challenges and research questions related to forensics and anti-forensics on […]

In this paper we are testing the efficiency of parallelization with use of graphic cards. There are many applications where such systems occurs in common, so we choose the domain of artificial neural networks. Actually sold graphic cards gives us strong potential in speeding up calculations and card vendors provide us with even more, giving […]

Astronomical photometry is one of the sciences, that benefit from the recent technological development in order to augment the quality and the quantity of the processed data. The planned projects, such as the European SOLARIS and the American LSST promises to generate the amount of data that will be a challenge for modern astronomical data […]

Graphics processing units (GPUs) have become widely accepted as the computing platform of choice in many high performance computing domains, due to the potential for approaching or exceeding the performance of a large cluster of CPUs for many parallel applications. The availability of programming standards such as OpenCL makes the use of GPUs even more […]

Significant advances have been made in time-varying data analysis and visualization, mainly in improving our ability to identify temporal trends and classify the underlying data. However, the ability to perform cost-effective data querying and indexing is often not incorporated, which posts a serious limitation as the size of timevarying data continue to grow. In this […]

We present a method for simulating the melting and flowing of material in burning objects fast enough to be of use in video games where most of the graphical and computational resources are needed elsewhere. The standard practice of using particle engines or fluid dynamics for melting are far too costly for use in this […]

Modern throughput processors such as GPUs achieve high performance and efficiency by exploiting data parallelism in application kernels expressed as threaded code. One drawback of this approach compared to conventional vector architectures is redundant execution of instructions that are common across multiple threads, resulting in energy inefficiency due to excess instruction dispatch, register file accesses, […]