high performance computing on graphics processing units: hgpu.org

ICMLSC 2018, The 2nd International Conference on Machine Learning and Soft Computing, will take place in Phu Quoc Island, Vietnam, from February 2-4, 2018. ICMLSC 2018 is co-organized by the University of Science, Vietnam and Industrial University of Ho Chi Minh City. ICMLSC 2018 is a not-to-be-missed opportunity that distills the most current knowledge on […]

After the successes of ICCAE 2009 (Bangkok, Thailand), ICCAE 2010 (Singapore), ICCAE 2011 (Chongqing, China), ICCAE 2012 (Mumbai, India), ICCAE 2013 (Bruxelles, Belgium), ICCAE 2014 (Melbourne, Australia), ICCAE 2015 (Bali, Indonesia), ICCAE 2016 (Melbourne, Australia), ICCAE 2017 (Sydney, Australia), 2018 10th International Conference on Computer and Automation Engineering (ICCAE 2018) is going to take place […]

The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering, will take place in Singapore, from February 24-26, 2018. ICMAA 2018 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Mechanical, Aeronautical and Automotive Engineering as […]

The 2nd International Conference on Cryptography, Security and Privacy (ICCSP 2018) will be held during March 16-19, 2018, in Guiyang, China. ICCSP 2018 aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Cryptography, Security and Privacy, and discuss the […]

The 3rd International Conference on Multimedia and Image Processing (ICMIP 2018) will be held in Guiyang, China during March 16-19, 2018. ICMIP has been held successfully in Bandar Seri Begawan, Brunei Darussalam, Wuhan, China in the last two years respectively. The objective of ICMIP is to present the latest research and results of scientists related […]

Most of the experts admit that the true behavior of the neural network is hard to predict. It is quite impossible to deterministically prove the working of the neural network as the architecture gets bigger, yet, it is observed that it is possible to apply a well engineered network to solve one of the most […]

Stencil computations are a key class of applications, widely used in the scientific computing community, and a class that has particularly benefited from performance improvements on architectures with high memory bandwidth. Unfortunately, such architectures come with a limited amount of fast memory, which is limiting the size of the problems that can be efficiently solved. […]

Clustering has become an unavoidable step in big data analysis. It may be used to arrange data into a compact format, making operations on big data manageable. However, clustering of big data requires not only the capability of handling data with large volume and high dimensionality, but also the ability to process streaming data, all […]

Single instruction, multiple data (SIMD) architectures are widely adopted in both general-purpose processors and graphic processing units for exploiting data-level parallelism. It is tedious and error-prone for programmers to write high performance code to utilize SIMD execution units on both platforms. Therefore, users often rely on automatic code generation techniques in compilers. However, it is […]

GPU acceleration is the concept of accelerating the execution speed of an application by running it on the GPU. Researchers and developers have always wanted to achieve greater speed for their applications and GPU acceleration is a very common way of doing so. This has been done a long time for highly graphical applications using […]

Processor manufacturers build increasingly specialized processors to mitigate the effects of the power wall to deliver improved performance. Currently, database engines are manually optimized for each processor: A costly and error prone process. In this paper, we propose concepts to enable the database engine to perform per-processor optimization automatically. Our core idea is to create […]

We present FLASH (Fast LSH Algorithm for Similarity search accelerated with HPC (High-Performance Computing)), a similarity search system for ultra-high dimensional datasets on a single machine, which does not require similarity computation. Our system is an auspicious illustration of the power of randomized algorithms carefully tailored for high-performance computing platforms. We leverage LSH style randomized […]