high performance computing on graphics processing units: hgpu.org

This paper presents a new major release of the program FIESTA (Feynman Integral Evaluation by a Sector decomposiTion Approach). The new release is mainly aimed at optimal performance at large scales when one is increasing the number of sampling points in order to reduce the uncertainty estimates. The release now supports graphical processor units (GPU) […]

The rapid analysis of ongoing gravitational microlensing events has been integral to the successful detection and characterisation of cool planets orbiting low mass stars in the Galaxy. In this paper we present an implementation of search and fit techniques on Graphical Processing Unit hardware. The method allows for the rapid identification of candidate planetary microlensing […]

In this article we discuss our implementation of a polyphase filter for real-time data processing in radio astronomy. We describe in detail our implementation of the polyphase filter algorithm and its behaviour on three generations of NVIDIA GPU cards, on dual Intel Xeon CPUs and the Intel Xeon Phi (Knights Corner) platforms. All of our […]

Finite Element Analysis helps designers at the early stages of product design through simulation and behavioral prediction. This thesis is on transient finite element analysis, specifically, structural dynamics, where the behavior of a product due to time-dependent loads is desired. A critical computational challenge in structural dynamics is that it typically requires significant amounts of […]

In our study we implemented and compared seven sequential and parallel sorting algorithms: bitonic sort, multistep bitonic sort, adaptive bitonic sort, merge sort, quicksort, radix sort and sample sort. Sequential algorithms were implemented on a central processing unit using C++, whereas parallel algorithms were implemented on a graphics processing unit using CUDA platform. We chose […]

TensorFlow [1] is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines […]

We consider the problem of conducting large experimental campaigns in computer science research. Most research efforts require a certain level of bookkeeping of results. This is manageable via quick, on-the-fly infrastructure implementations. However, it becomes a problem for large-scale testing initiatives, especially as the needs of the project evolve along the way. We look at […]

Accelerators like Intel Xeon Phi aim to fulfill the computational requirements of modern applications. A particular interest to us are those applications that are based on Stencil Computations. Stencils are finite-difference algorithms used in many scientific and engineering applications for solving large-scale and high-dimension partial differential equations. Programmability on massively parallel architectures of such kernels […]

Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels, and requires knowledge of the underlying hardware, the data being operated on, and the implementation of the kernel. This makes portable performance of OpenCL programs a challenging goal, since simple heuristics and statically chosen values fail to exploit the available performance. To […]

Climbing Mont Blanc (CMB) is an open online judge used for training in energy efficient programming of state-of-the-art heterogeneous multicores. It uses an Odroid-XU3 board from Hardkernel with an Exynos Octa processor and integrated power sensors. This processor is three-way heterogeneous containing 14 different cores of three different types. The board currently accepts C and […]

Notification of Acceptance: Before February 20, 2016 The conference committees are consisted of professors, specialists and distinguished researchers from UK, Japan, Hong Kong, Singapore, Brunei Darussalam and other places. ICSCA 2016 is supported by University of Brunei Darussalam, Hong Kong University of Science and Technology, University of Bristol, Nanyang Technological University and University of Tokyo. […]

The Strong Committee Team Prof. Jalel Ben-Othman,University of Paris 13, France Prof. Alexander Balinsky, Cardiff University, United Kingdom Dr. Krzysztof Koszela, Poznan University of Life Sciences, Poland Agenda June 10, 2016 – Registration & Conference Materials Collection June 11, 2016 – Keynote Speeches & Participants’ Oral Presentation June 12, 2016 – Visit Real Peer Review […]