high performance computing on graphics processing units: hgpu.org

XML has been used as a textual data format for transporting and storing information in many areas. However, the cost to process the large-scale XML file will become a serious issue for general processing methods. In this paper, we propose a design and implementation of a large-scale XML processing system on GPU cluster to address […]

A novel approach is presented to render large voxel scenes in real-time. The approach differs from existing solutions in that a large emphasis is put on allowing the user to edit and stream large datasets. Previous solutions often use compression schemes involving hierarchical data layouts such as sparse voxel octrees that require some form of […]

Nowadays vision systems are used with countless purposes. Moreover, the motion estimation is a discipline that allow to extract relevant information as pattern segmentation, 3D structure or tracking objects. However, the real-time requirements in most applications has limited its consolidation, considering the adoption of high performance systems to meet response times. With the emergence of […]

Accurate and efficient data classification techniques are of vital importance to many problems, and are rapidly developing in recent decades. K-Nearest Neighbor algorithm (KNN), as one of the most important algorithms, is widely used in text categorization, predictive analysis, data mining and image recognition, etc. To accelerate the algorithm and to optimize the parallel implementation […]

The Xeon Phi is a coprocessor first released in 2012 by Intel. With x86 instruction set support, 60 cores and up to 2 teraflops of single-precision performance, the Xeon Phi seems promising and has gained wide interest. The world’s fastest supercomputer to date, the Tianhe-2, features the Xeon Phi, so does the recently announced 180 […]

Publication: Submissions will be peer reviewed and evaluated based on originality, relevance to conference, contributions, and presentation. Selected papers of ICICA 2016 will be published in one of the below Journals: * Journal of Computers (ISSN: 1796-203X) Indexing/Abstracting: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, ULRICH’s Periodicals Directory, WorldCat, CNKI,etc. * Journal of Advances in Information Technology […]

Topics: VLSI Design & Testing Low Power VLSI Image & Signal Processing Grid & Cloud Computing Routing & Optimization Techniques Wired & Wireless Communication Sensor Networks & Network Security Mobile Communication & Computing High Speed Communication Networks Embedded System Intelligent Controllers Modeling & Simulation System Identification Advanced Control Systems Expert Systems Biomedical Instrumentation Process Control […]

Topics: • Remote Sensing • Innovative Algorithms • Automated feature extraction • Object extraction • Point cloud processing • 3D scene reconstruction • Spatio-temporal data fusion • Range image processing • Photogrammetric computer vision • Multi-scale segmentation • Support Vector Machine classifiers • Random forest classifiers • Marked point process extractors • Sparse and redundant […]

Publication: Submissions will be peer reviewed and evaluated based on originality, relevance to conference, contributions, and presentation. Selected papers of ICICA 2016 will be published in one of the below Journals: * Journal of Computers (ISSN: 1796-203X) Indexing/Abstracting: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, ULRICH’s Periodicals Directory, WorldCat, CNKI,etc. * International Journal of Modeling and Optimization […]

Protein tertiary structure prediction (PSP) is one of the most challenging problems in bioinformatics. Different methods have been introduced to solve this problem so far, but PSP is computationally intensive and belongs to the NP-hard class. One of the best solutions to accelerate PSP is the use of a massively parallel processing architecture, such graphical […]

In this paper, we present convolutional patch networks, which are convolutional (neural) networks (CNN) learned to distinguish different image patches and which can be used for pixel-wise labeling. We show how to easily learn spatial priors for certain categories jointly with their appearance. Experiments for urban scene understanding demonstrate state-of-the-art results on the LabelMeFacade dataset. […]

Parallel CPU implementations of a viewshed algorithm using both multithreading and SIMD vectorization and GPU implementations were implemented and compared in this study. The results show that parallelism is essential for achieving good performance on a CPU, and that data transfer can be partly overlapped by computations to hide some of the overheads in GPU […]