Sep, 8

QSL Squasher: A Fast Quasi-Separatrix Layer Map Calculator

Quasi-Separatrix Layers (QSLs) are a useful proxy for the locations where current sheets can develop in the solar corona, and give valuable information about the connectivity in complicated magnetic field configurations. However, calculating QSL maps even for 2-dimensional slices through 3-dimensional models of coronal magnetic fields is a non-trivial task as it usually involves tracing […]
Sep, 8

A Non-linear GPU Thread Map for Triangular Domains

There is a stage in the GPU computing pipeline where a grid of thread-blocks, in parallel space, is mapped onto the problem domain, in data space. Since the parallel space is restricted to a box type geometry, the mapping approach is typically a k-dimensional bounding box (BB) that covers a p-dimensional data space. Threads that […]
Sep, 8

International Conference on Innovation in Artificial Intelligence (ICIAI), 2017

Paper Publication: All accepted papers of ICIAI 2017 will be published in the International Conference Proceedings, which will be indexed by Ei Compendex and Scopus.
Sep, 8

The 7th International Workshop on Computer Science and Engineering (WCSE), 2017

Registered and presented papers of WCSE 2017 will be published into the conference proceedings, which will be indexed by Scopus & Ei compendex.
Sep, 8

International Conference on Information and Computer Technologies (ICICT), 2017

Publication and Indexing Accepted and registered full papers will be published into the conference proceedings, which will be included in the major data base, Ei,Scopus, etc. Invited Keynote Speakers Prof. S. Arumuga perumal, head of Department of Computer Science, S.T.Hindu College, India Prof. Dr. R. Sivakumar, head of Department of Electronics and Communication Engineering at […]
Sep, 8

3rd International Conference on Knowledge and Software Engineering (ICKSE), 2017

For papers submitted to ICKSE 2017, we offer the publications as following: 1.Publication in proceedings, which will be indexed by EI Compendex, Scopus, and ISI CPCS. 2.Publication published in the International Journal of Knowledge Engineering, which will be indexed by Proquest, Google Scholar,etc. There are two methods for submitting your paper: 1. By our electric […]
Sep, 8

8th International Conference on Computer Technologies and Development (ICCTD), 2017

For papers submitted to ICCTD 2017, we offer the publications as following: 1. Publication in Proceedings. Submissions will be peer reviewed by conference committees, and accepted papers will be published in proceedings, which will be indexed by EI Compendex, Scopus, and ISI CPCS. 2. Publication in Journal. Submissions will be reviewed by the conference committees […]
Sep, 6

cf4ocl: a C framework for OpenCL

OpenCL is an open standard for parallel programming of heterogeneous compute devices, such as GPUs, CPUs, DSPs or FPGAs. However, the verbosity of its C host API can hinder application development. In this paper we present cf4ocl, a software library for rapid development of OpenCL programs in pure C. It aims to reduce the verbosity […]
Sep, 5

Parallel Dictionary Learning Algorithms for Sparse Representations

Sparse representations are intensively used in signal processing applications, like image coding, denoising, echo channels modeling, compression, classification and many others. Recent research has shown encouraging results when the sparse signals are created through the use of a learned dictionary. The current study focuses on finding new methods and algorithms, that have a parallel form […]
Sep, 5

Parallel Tree Traversal for Nearest Neighbor Query on the GPU

The similarity search problem is found in many application domains including computer graphics, information retrieval, statistics, computational biology, and scientific data processing just to name a few. Recently several studies have been performed to accelerate the k-nearest neighbor (kNN) queries using GPUs, but most of the works develop brute-force exhaustive scanning algorithms leveraging a large […]
Sep, 5

Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs

Leveraging large data sets, deep Convolutional Neural Networks (CNNs) achieve state-of-the-art recognition accuracy. Due to the substantial compute and memory operations, however, they require significant execution time. The massive parallel computing capability of GPUs make them as one of the ideal platforms to accelerate CNNs and a number of GPU-based CNN libraries have been developed. […]
Sep, 5

Implementation and Performance Analysis of Many-body Quantum Chemical Methods on the Intel Xeon Phi Coprocessor and NVIDIA GPU Accelerator

CCSD(T), part of coupled cluster (CC) method, is one of the most accurate methods applicable to reasonably large molecules in computational chemistry field. The ability of an efficient parallel CCSD(T) implementation will have a significant impact on application of the high-accuracy methods. Intel Xeon Phi Coprocessor and NVIDIA GPU are the most important coprocessors/accelerators which […]
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