high performance computing on graphics processing units: hgpu.org

5th World Machine Learning and Deep Learning Congress welcome you to Machine Learning 2018 conference going to be held in Dubai, UAE during August 30-31, 2018 which unites brief keynote presentations, speaker talks, exhibitions, Symposiums, workshops. Machine Learning 2018 is the Congress which will be most visited by all the most innovative minds, practitioners, experts, […]

The world of DNA sequencing has not only been a difficult field since it was first worked upon, but it is also growing at an exponential rate. The amount of data involved in DNA searching is huge, thereby normal tools or algorithms are not suitable to handle this degree of data processing. BLAST is a […]

Since the advent of Next Generation Sequencing (NGS) technology, the amount of data from whole genome sequencing has been rising fast. In turn, the availability of these resources led to the tapping of whole new research fields in molecular and cellular biology, producing even more data. On the other hand, the available computational power is […]

Big Data applications are trivially parallelizable because they typically consist of simple and straightforward operations performed on a large number of independent input records. GPUs appear to be particularly well suited for this class of applications given their high degree of parallelism and high memory bandwidth. However, a number of issues severely complicate matters when […]

Manycores are consolidating in HPC community as a way of improving performance while keeping power efficiency. Knights Landing is the recently released second generation of Intel Xeon Phi architecture. While optimizing applications on CPUs, GPUs and first Xeon Phi’s has been largely studied in the last years, the new features in Knights Landing processors require […]

In this paper we present STAR-RT – the first working prototype of Selective Tuning Attention Reference (STAR) model and Cognitive Programs (CPs). The Selective Tuning (ST) model received substantial support through psychological and neurophysiological experiments. The STAR framework expands ST and applies it to practical visual tasks. In order to do so, similarly to many […]

This document intends to provide a detailed guidance on how to optimize OpenCL programs with Adreno GPUs. A good amount of information has been provided to help developers understand the OpenCL fundamentals and Adreno architectures, and most importantly, master OpenCL optimization techniques. OpenCL optimization is often challenging and requires a lot of trial and error. […]

OpenMP is a shared memory programming model which supports the offloading of target regions to accelerators such as NVIDIA GPUs. The implementation in Clang/LLVM aims to deliver a generic GPU compilation toolchain that supports both the native CUDA C/C++ and the OpenMP device offloading models. There are situations where the semantics of OpenMP and those […]

Image convolution is widely used for sharpening, blurring and edge detection. In this paper, we review two common algorithms for convolving a 2D image by a separable kernel (filter). After optimising the naive codes using loop unrolling and SIMD vectorisation, we choose the algorithm with better performance as the baseline for parallelisation. We then compare […]

In recent years, Convolutional Neural Networks (ConvNets) have become an enabling technology for a wide range of novel embedded Artificial Intelligence systems. Across the range of applications, the performance needs vary significantly, from high-throughput video surveillance to the very low-latency requirements of autonomous cars. In this context, FPGAs can provide a potential platform that can […]

The Intel FPGA SDK for OpenCL Programming Guide provides descriptions, recommendations and usage information on the Intel Software Development Kit (SDK) for OpenCL compiler and tools. The Intel FPGA SDK for OpenCL is an OpenCL-based heterogeneous parallel programming environment for Intel FPGA products.

Computing and Pattern Recognition contribute greatly in the advancement of technologies. Rapid technological advancements can be achieved through continuous research. Hong Kong Chemical, Biological & Environmental Engineering Society (HKCBEES) and Biology and Bioinformatics Society (BBS) is going to organize the 2018 International Conference on Computing and Pattern Recognition (ICCPR 2018) during June 23-25, 2018 in […]