GPU Day 2017 - THE FUTURE OF MANY-CORE COMPUTING IN SCIENCE
The 7th in the conference series organized by the Wigner Research Centre for Physics of the Hungarian Academy of Sciences is dedicated to the field of many-core computing in scientific and industrial applications.
This years' event is sponsored by Lombiq Ltd.
For the earlier events see: 2016, 2015, 2014
The full Schedule is now available on gpuday.com
Registration fee is 150 000 HUF (cc. 480 EUR, including VAT)
Limited number of support available to waive the participation fee, inquire below.
TOPICS INCLUDE:
- Current status and near-future of many-core hardware and software
- Many-core computing in physics and other fields of science
- Medical applications of parallel technologies
- Machine Learning, neural networks, feature recognition
- Image processing, computer vision and reconstruction
- Industrial applications of many-core computing
- Many-core computing in education
- Mobile and embedded parallel computing in science
- Emerging accelerator platforms
- Development technologies (languages, compilers, tools)
CONFIRMED KEY TALKS:
Accelerating Eigen Tensor libraries using SYCL
Mehdi Goli, Codeplay Software Ltd.
Accelerating parallel computing by closely linkage of CPU and FPGA
Miroslaw Walukiewicz, Intel
FPGA based acceleration scientific workloads - Why? How?
Suleyman Demirsoy, Intel
The Collaboration Spotting Graph Visualization tool
Xavier Eric Ouvrard, CERN
Computations for Collaboration Spotting on Neural Science Datasets
Richárd Forster, CERN
Computational challenges of gravitational-wave searches
Michał Bejger, Nicolaus Copernicus Astronomical Center, Warsaw
FPGAs as manycore scientific coprocessors in high-level programming environments – Hastlayer
Zoltán Lehóczky, Lombiq Ltd.
GPU assisted light field capture and processing
Attila Barsi, Holografika Ltd.
Contributed talks:
A highly parallelizable Quantum Monte Carlo approach to the nonequilibrium steady state of open quantum systems
Alexandra Nagy (Ecole Polytechnique Federale de Lausanne)
Highly Parallel GPU-based Particle-in-Cell/MCC Plasma Simulation
Zoltán Juhász (University of Pannonia)
GPU accelerated investigation of a dual-frequency driven nonlinear oscillator
Ferenc Hegedűs (Budapest University of Technology and Economics)
Brain network model dynamical simulations
Vince Varga (Budapest University of Technology and Economics)
In silico studies of the mutant protein causing cystic fibrosis
Tamás Hegedűs (Molecular Biophysics Research Group of HAS, Semmelweis University)
Searching for high energy electromagnetic transients with ADWO
Zsolt Bagoly (Eötvös Loránd University)
Light curve modelling of eclipsing binaries
Gábor Marschalkó (Baja Observatory of University of Szeged)
Cosmological zoom-in simulations with stereographic projection
Gábor Rácz (Eötvös Loránd University)
LambdaGen - A GPU code generator powered by recursion schemes
András Leitereg (Eötvös Loránd University)
Pitfalls of instinct driven asynchronous programming in C#
Szilveszter Harangozó (EPAM Systems – Hungary)
Report on running the biggest GPU cluster in Hungary
Zoltán Kiss (National Information Infrastructure Development Program)
HIJING++ a HIC Monte Carlo for the Future (Parallel) Generations
Gergely Gábor Barnaföldi (Wigner RCP)
DEADLINES:
- Extended abstract submission: 19 May 2017
- Decision on accepted presentations: 21 May 2017
- Registration deadline: 11 June 2017
Please send your abstracts and questions to:
Dániel BERÉNYI
{berenyi} . {daniel} {at} {wigner} . {mta} . {hu}
ORGANIZERS:
Dániel BERÉNYI (Wigner RCP)
Máté Ferenc NAGY-EGRI (Wigner RCP)
Gábor Cseh (Wigner RCP)
Gergely Gábor BARNAFÖLDI (Wigner RCP)
