high performance computing on graphics processing units: hgpu.org

It is a widely held view that analytical integration is more accurate than the numerical one. In some special cases, however, numerical integration can be more advantageous than analytical integration. In our paper we show this benefit for the case of electric potential and field computation of charged triangles and rectangles applied in the boundary […]

Deep down in many applications like natural language processing (NLP), vision, and robotics is a form of the k-nearest neighbor search algorithm (kNN). The kNN algorithm is primarily bottlenecked by data movement, limiting throughput and incurring latency in these applications. While there do exist well bounded kNN approximations that improve the performance of kNN, these […]

With the increasing size and complexity of data produced by large scale numerical simulations, it is of primary importance for scientists to be able to exploit all available hardware in heterogenous High Performance Computing environments for increased throughput and efficiency. We focus on the porting and optimization of Splotch, a scalable visualization algorithm, to utilize […]

We perform a study of the factors affecting training time in multi-device deep learning systems. Given a specification of a convolutional neural network, we study how to minimize the time to train this model on a cluster of commodity CPUs and GPUs. Our first contribution focuses on the single-node setting, in which we show that […]

Graphics Processing Units (GPUs) are becoming popular accelerators in modern High-Performance Computing (HPC) clusters. Installing GPUs on each node of the cluster is not efficient resulting in high costs and power consumption as well as underutilisation of the accelerator. The research reported in this paper is motivated towards the use of few physical GPUs by […]

Index: Scopus, Ei Compendex, Web of Science (CPCI), Inspec, Google Scholar, Microsoft Academic Search, etc. AGENDA: September 14, 2016: Registration & Conference Materials Collection September 15, 2016: Keynote Speeches & Participants’ Oral Presentation September 16, 2016: Visit PUBLICATION: ICRMV 2016 conference Proceedings CONTACT US: Ms.Janet Hsiao E-mail: icrmv@academic.net

Publication: All accepted papers of CRC 2016 (Registered & Presented) will be collected in the conference proceedings, which will be indexed by EI and Scopus. Selected papers will be published in International Journal of Mechanical Engineering and Robotics Research, (ISSN: 2278-0149) which is Indexed by Index Corpernicus, Scopus (since 2016) etc. Contact: Ethell Shin E-mail: […]

With the appearance of the heterogeneous platform OpenPower,many-core accelerator devices have been coupled with Power host processors for the first time. Towards utilizing their full potential, it is worth investigating performance portable algorithms that allow to choose the best-fitting hardware for each domain-specific compute task. Suiting even the high level of parallelism on modern GPGPUs, […]

Pezy-SC processor is a novel new architecture developed by Pezy Computing K. K. that has achieved large computational power with low electric power consumption. It works as an accelerator device similarly to GPGPUs. A programming environment that resembles OpenCL is provided. Using a hybrid parallel system "Suiren" installed at KEK, we port and tune a […]

Erasure coding, Reed-Solomon coding in particular, is a key technique to deal with failures in scale-out storage systems. However, due to the algorithmic complexity, the performance overhead of erasure coding can become a significant bottleneck in storage systems attempting to meet service level agreements (SLAs). Previous work has mainly leveraged SIMD (singleinstruction multiple-data) instruction extensions […]

Many large-scale systems were designed with the assumption that I/O is the bottleneck, but this assumption has been challenged in the past decade with new trends in hardware capabilities and workload demands. The computational power of CPU cores has not improved proportional to the performance of disks and network interfaces in the past decade, but […]

Using modern Graphic Processing Units (GPUs) becomes very useful for computing complex and time consuming processes. GPUs provide high-performance computation capabilities with a good price. This paper deals with a multi-GPU OpenCL and CUDA implementations of k-Nearest Neighbor (k-NN) algorithm. This work compares performances of OpenCLand CUDA implementations where each of them is suitable for […]