Montenegro, Budva, Becici, 25 September - 29 September 2017

Session

Computations with Hybrid Systems (CPU, GPU, coprocessors)

Sep 29, 2017, 11:20 AM

Conference Hall (Montenegro, Budva, Becici)

Conveners

Computations with Hybrid Systems (CPU, GPU, coprocessors)

• Dmitry Podgainy (JINR)

251. A new HPC Architecture Intel

Nikolai Mester (Intel)

9/29/17, 11:20 AM

Sectional

213. The development on HYBRILIT of the Machine-learning algorithms for identification and separation of the neutron and gamma-ray signals obtained from the DEMON detector

Dr Dmitry Podgainy (JINR), Dr Oksana Streltsova (JINR)

9/29/17, 11:40 AM

Sectional

We apply several machine-learning (ML) algorithms for identification and separation of the neutron and gamma-ray signals coming from the DEMON (DEtecteur MOdulaire de Neutrons) detector. The ML-predictions have been contrasted with the results obtained within a standard method based on an integral-area scheme. In the situations where the standard method fails a properly trained ML-algorithm...

154. Application of NVIDIA CUDA technology to calculation of ground states of few-body nuclei

Prof. Viacheslav Samarin (Joint Institute for Nuclear Research, Flerov Laboratory of Nuclear Reactions)

9/29/17, 11:55 AM

Computations with Hybrid Systems (CPU, GPU, coprocessors)

Sectional

The modern parallel computing solutions were used to speed up the calculations by Feynman’s continual integrals method. The algorithm was implemented in C++ programming language. Calculations using NVIDIA CUDA technology were performed on the NVIDIA Tesla K40 accelerator installed within the heterogeneous cluster of the Laboratory of Information Technologies, Joint Institute for Nuclear...

217. Automated system to monitor and predict matching of vocational education programs with labour market

Sergey Belov (Joint Institute for Nuclear Research)

9/29/17, 12:10 PM

Sectional

Interaction of labour market and educational system is a complex process, with many parties involved (government, universities, employers, individuals, etc.). Both horizontal and vertical mismatch between skills and qualifications from one side and market’s requirements from another are still widely observed in both developing and developed countries. To discover both qualitative and...

125. Parallel framework for partial wave analysis for the BES-III experiment

Ms Victoria Tokareva (JINR)

9/29/17, 12:25 PM

Computations with Hybrid Systems (CPU, GPU, coprocessors)

Sectional

The partial wave analysis at the BES-III experiment is being done event-by-event using the maximum likelihood estimation, with the typical statistics of the order of 10 billion J/ψ events per year, resulting in huge computation times. On the other hand, the event-by-event analysis can be naturally parallelized. We developed the parallel cross-platform software architecture that can run...