high performance computing on graphics processing units: hgpu.org

Topics: – Agent-based systems – Ant colony optimization – Approximate reasoning – Artificial immune systems – Artificial Intelligence in modelling and simulation – Artificial Intelligence in scheduling and optimization – Artificial life – Bioinformatics and computational biology – Brain-machine interfaces – Cognitive systems and applications – Collective intelligence – Computer vision – Data mining – […]

Topics: Algorithms Artificial Intelligence Automated Software Engineering Bio-informatics Bioinformatics and Scientific Computing Biomedical Engineering Compilers and Interpreters Computational Intelligence Computer Animation Computer Architecture & VLSI Computer Architecture and Embedded Systems Computer Based Education Computer Games Computer Graphics & Virtual Reality Computer Graphics and Multimedia Computer Modeling Computer Networks Computer Networks and Data Communication Computer Security […]

We present a preliminary study of buffer overflow vulnerabilities in CUDA software running on GPUs. We show how an attacker can overrun a buffer to corrupt sensitive data or steer the execution flow by overwriting function pointers, e.g., manipulating the virtual table of a C++ object. In view of a potential mass market diffusion of […]

In this work we develop the Spectral Ewald Accelerated Stokesian Dynamics (SEASD), a novel computational method for dynamic simulations of polydisperse colloidal suspensions with full hydrodynamic interactions. SEASD is based on the framework of Stokesian Dynamics (SD) with extension to compressible solvents, and uses the Spectral Ewald (SE) method [Lindbo & Tornberg, J. Comput. Phys. […]

Data embedding is used in many machine learning applications to create low-dimensional feature representations, which preserves the structure of data points in their original space. In this paper, we examine the scenario of a heterogeneous network with nodes and content of various types. Such networks are notoriously difficult to mine because of the bewildering combination […]

Genetic information is increasing exponentially, doubling every 18 months. Analyzing this information within a reasonable amount of time requires parallel computing resources. While considerable research has addressed DNA analysis using GPUs, so far not much attention has been paid to the Intel Xeon Phi coprocessor. In this paper we present an algorithm for large-scale DNA […]

Supervised learning of Convolutional Neural Networks (CNNs), also known as supervised Deep Learning, is a computationally demanding process. To find the most suitable parameters of a network for a given application, numerous training sessions are required. Therefore, reducing the training time per session is essential to fully utilize CNNs in practice. While numerous research groups […]

Topics: Information Engineering Communication Artificial Intelligence Signal Detection and Parameter Estimation Bioinformatics Signal, Image and Video Processing Software Engineering Speech and Audio Processing VLSI Design and Fabrication Wireless Communications Photonic Technologies Communications Transmission Parallel and Distributed Computing Network Communication Data Mining Mobile and Ubiquitous Computing Cryptography Ad hoc and Sensor Networks Algorithms and Data Structures […]

Topics: Algorithms Artificial Intelligence Automated Software Engineering Bio-informatics Bioinformatics and Scientific Computing Biomedical Engineering Compilers and Interpreters Computational Intelligence Computer Animation Computer Architecture & VLSI Computer Architecture and Embedded Systems Computer Based Education Computer Games Computer Graphics & Virtual Reality Computer Graphics and Multimedia Computer Modeling Computer Networks Computer Networks and Data Communication Computer Security […]

Topics: Computer Engineering Electrical Engineering Algorithm Advanced Power Semiconductors Computer Vision, Graphics and Intelligence Analogue and Digital Signal Processing Computational and Artificial Intelligence Biomedical Engineering Computer Vision Computer and AI Applications in Power Industry Computer Networks Control Science and Control Engineering Pattern Analysis and Recognition Distributed Generation, Fuel Cells and Renewable Energy Systems Computer Graphics […]

We present a new library for parallel distributed Fast Fourier Transforms (FFT). Despite the large amount of work on FFTs, we show that significant speedups can be achieved for distributed transforms. The importance of FFT in science and engineering and the advances in high performance computing necessitate further improvements. AccFFT extends existing FFT libraries for […]

Recently, many particle physics applications can be parallelized by using multicore platforms such as CPU and GPU. In this paper, we propose a parallel processing approach for Quantum ChromoDynamics(QCD) application by using both CPU and GPU. Instead of distributing the parallelizable workload to either CPU or GPU, we distribute the workload simultaneously into both CPU […]