high performance computing on graphics processing units: hgpu.org

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.

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

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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 […]

Re-ranking algorithms have been proposed to improve the effectiveness of Content-Based Image Retrieval (CBIR) systems by exploiting contextual information encoded in distance measures and ranked lists. In this paper, we show how we improved the efficiency of one of these algorithms, called Contextual Spaces Re-Ranking. We propose a modification to the algorithm that reduces its […]

Recent trends of increasing core-count and bandwidth/memory-wall have motivated the researchers to explore novel memory technologies for designing processor components such as cache, register file, shared memory, etc. Domain wall memory (DWM), also known as racetrack memory, is a promising emerging technology due to its non-volatility and very high density. However, use of DWM presents […]