high performance computing on graphics processing units: hgpu.org

Publication: All the accepted papers will be published in the HPCCT 2016 conference Proceedings, All the accepted papers will be published in the HPCCT 2016 conference Proceedings, and which will be indexed by Ei Compendex. Conference Schedule: December 17th, 2016 : Registration, collecting conference materials December 18th, 2016 : Opening Remarks & Keynote Speeches Oral […]

Publication: All the accepted papers will be published in the ISMSI 2017 conference Proceedings,and reviewed by the IEEE Conference Publication Program for IEEE Xplore and Ei Compendex. Contact: Ms.Yvonne Miller Email:sub@ismsi.org

Publication: All accepted papers of ICMEAE 2017 will be published in ICMEAE 2017 Conference Proceedings,which will be indexed by Ei Compendex, Inspec, DOAJ, CPCI (Web of Science) and Scopus. Conference Venue: Chulalongkorn University, Thailand Conference Schedule: April 1st, 2017: Registration and Collecting conference materials April 2nd, 2017: Keynote speeches and Oral presentation April 3rd, 2017: […]

Publication: All submissions will be peer reviewed, and all the accepted papers will be published in the ICCRE 2017 conference Proceedings, and reviewed by the IEEE Conference Publication Program for IEEE Xplore and Ei Compendex. ICCRE 2016 have been included in the IEEE Xplore! Conference Schedule: April 1, 2017: Registration and Collecting conference materials April […]

By reaching near-atomic resolution for a wide range of specimens, single-particle cryo-EM structure determination is transforming structural biology. However, the necessary calculations come at increased computational costs, introducing a bottleneck that is currently limiting throughput and the development of new methods. Here, we present an implementation of the relion image processing software that uses graphics […]

A new dynamic programming based parallel algorithm adapted to on-board heterogeneous computers for simulation based trajectory optimization is studied in the context of "high-performance sailing". The algorithm uses a new discrete space of continuously differentiable functions called the multi-splines as its search space representation. A basic version of the algorithm is presented in detail (pseudo-code, […]

The Jetson TX1 module is NVIDIA’s latest processor system-on-module for embedded applications, based on the Tegra X1 chip. The Jetson TX1 Developer Kit is a low-cost, feature-rich development kit based on the Jetson TX1 module. BDTI, a technology analysis firm, used the Jetson TX1 Developer Kit to develop a deep-learning-based computer vision application-a camera that […]

During recent years, the importance of utilizing more computational power in smaller computer systems has increased. The utilization of more computational power in smaller packages, the ability to combine more than one type of processor unit has become more popular in the industry. By combining, one achieves more power efficiency as well as gain more […]

In some digital Earth engineering applications, spatial interpolation algorithms are required to process and analyze large amounts of data. Due to its powerful computing capacity, heterogeneous computing has been used in many applications for data processing in various fields. In this study, we explore the design and implementation of a parallel universal kriging spatial interpolation […]

Processors with large numbers of cores are becoming commonplace. In order to utilise the available resources in such systems, the programming paradigm has to move towards increased parallelism. However, increased parallelism does not necessarily lead to better performance. Parallel programming models have to provide not only flexible ways of defining parallel tasks, but also efficient […]

GPUs have been widely used to accelerate computations exhibiting simple patterns of parallelism – such as flat or two-level parallelism – and a degree of parallelism that can be statically determined based on the size of the input dataset. However, the effective use of GPUs for algorithms exhibiting complex patterns of parallelism, possibly known only […]

The track 2 and track 3 of ChaLearn 2016 can be considered as Multi-Label Classification problems. We present a framework of learning deep binary encoding (DeepBE) to deal with multi-label problems by transforming multi-labels to single labels. The transformation of DeepBE is in a hidden pattern, which can be well addressed by deep convolutions neural […]