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Feb, 1

Deep learning review and its applications

Deep neural networks have recently gained popularity for improving state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Modern award-winning architectures have systematically surpassed previous attempts […]
Feb, 1

A Reproducible Research Methodology for Designing and Conducting Faithful Simulations of Dynamic HPC Applications

The evolution of High-Performance Computing systems has taken asharp turn in the last decade. Due to the enormous energyconsumption of modern platforms, miniaturization and frequencyscaling of processors have reached a limit. The energy constraintshas forced hardware manufacturers to develop alternative computerarchitecture solutions in order to manage answering the ever-growingneed of performance imposed by the scientists […]
Feb, 1

R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate Responses

Technological advances in molecular biology over the past decade have given rise to high dimensional and complex datasets offering the possibility to investigate biological associations between a range of genomic features and complex phenotypes. The analysis of this novel type of data generated unprecedented computational challenges which ultimately led to the definition and implementation of […]
Jan, 30

2nd Int. Conference on Machine Vision and Applications (ICMVA), 2016

The conference committees are consisted of professors, specialists and distinguished researchers from all over the world. Keynote Speakers Fellow of IEEE and IAPR, Prof. David Zhang, Hong Kong Polytechnic University, Hong Kong Prof. Alexander Balinsky, Cardiff University, UK Fellow of IEEE and IAPR, Prof. Jiebo Luo, University of Rochester, USA Prof. Zhouchen Lin, Department of […]
Jan, 30

International Conference on Computational Intelligence and Applications (ICCIA), 2016

Call for Paper: Data mining Fuzzy Systems Hybrid intelligent systems Neural Networks Telecommunications etc. Publication: After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the conference Proceedings and will be indexed by EI compendex. Keynote Speakers: Prof. Dong Hwa Kim, Dept. of Instrumentation and Control Engineering, Hanbat […]
Jan, 30

5th IEEE International Conference on Image, Vision and Computing (ICIVC), 2016

★Call for paper★ Topic about Image, Vision and Computing For details about topics, please visit at http://www.icivc.org/cfp.html ★ Publication All accepted papers must be written in English and will be published into IEEE Conference Proceedings which will be indexed by Ei Compendex and other index service. ★Submission★ 1. Full paper(publication and presentation) 2. Abstract (presentation) […]
Jan, 30

International Conference on Robotics and Automation Engineering (ICRAE), 2016

Call for Paper: Robot design, development and control Vehicle control applications Modeling, simulation and architectures Vision, recognition and reconstruction Hybrid dynamical systems etc. Publication: After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the conference Proceedings and will be indexed by EI compendex. Keynote Speakers: Prof. Dong […]
Jan, 29

High-Performance Tensor Contractions for GPUs

We present a computational framework for high-performance tensor contractions on GPUs. High-performance is difficult to obtain using existing libraries, especially for many independent contractions where each contraction is very small, e.g., sub-vector/warp in size. However, using our framework to batch contractions plus application-specifics, we demonstrate close to peak performance results. In particular, to accelerate large […]
Jan, 29

GPU Based Methods for Interactive Information Visualization of Big Data

Interactive visual analysis has been a key component of gaining insights in information visualization area. However, the amount of data has increased exponentially in the past few years. Existing information visualization techniques lack scalability to deal with big data, such as graphs with millions of nodes, or millions of multidimensional data records. Recently, the remarkable […]
Jan, 29

Towards Interactive Visual Exploration of Parallel Programs using a Domain-specific Language

The utilization of GPUs and the massively parallel computing paradigm have become increasingly prominent in many research domains. Recent developments of platforms, such as OpenCL and CUDA, enable the usage of heterogeneous parallel computing in a wide-spread field. However, the efficient utilization of parallel hardware requires profound knowledge of parallel programming and the hardware itself. […]
Jan, 29

GPU-Accelerated Recurrent Neural Networks: OpenCLLink and SymbolicC

The paper presents application of OpenCLLink in Wolfram Mathematica to accelerate fully recurrent neural networks using GPU. We also show the idea of automatically generated parts of source code using SymbolicC.
Jan, 29

GeNN: a code generation framework for accelerated brain simulations

Large-scale numerical simulations of detailed brain circuit models are important for identifying hypotheses on brain functions and testing their consistency and plausibility. An ongoing challenge for simulating realistic models is, however, computational speed. In this paper, we present the GeNN (GPU-enhanced Neuronal Networks) framework, which aims to facilitate the use of graphics accelerators for computational […]
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