In my last blog post, I described general MapReduce paradigm which allows us to create big data processing systems in a fairly simple way. In this blog post, I will describe more in detail what I’m doing in my project, …
- PRACE Summer of HPC
- About
- Timeline
- 2017
- Projects 2017
- 1. Hybrid Monte Carlo Method for Matrix Computation on P100 GPUs
- 2. Monte Carlo and Deep Learning Methods for Enhancing Crowd Simulation
- 3. Apache Spark: Are Big Data tools applicable in HPC?
- 4. Calculation of nanotubes by utilizing the helical symmetry properties
- 5. Web visualization of Energy load of an HPC system
- 6. Web visualization of the Mediterranean Sea
- 7. Development and validation of real-time earthquake hazard models
- 8. Interactive weather forecasting on supercomputers as a tool for education
- 9. Online visualisation of current and historic supercomputer usage
- 10. Visualizing European Climate Change
- 11. European climate model simulations
- 12. “El-Nino: It’s periodicity and impact on world weather”
- 13. Radiosity in Computer Graphics
- 14. Visualization of real motion of human body based on motion capture technology
- 15. Performance visualization for bioinformatics pipelines
- 16. Cude colors on a phine grid
- 17. Hip, hip, hooray! Get your 2-for-1 GPU deal now.
- 18. Accelerating climate kernels
- 19. Tracing in 4D data
- 20. Parallel algorithm for non-negative matrix tri-factorization
- 21. CAD data extraction for CFD simulation
- Participants 2017
- Mr. Anton Lebedev
- Mr. Aleksander Wennersteen
- Mr. Adrián Rodríguez Bazaga
- Mr. Andreas Neophytou
- Mr. Petr Stehlík
- Mr. Arnau Miro Jane
- Mrs. Dimitra Anevlavi
- Mr. Sam Green
- Mr. Jakub Piotr Nurski
- Mrs. Edwige Pezzulli
- Mr. Mahmoud Elbattah
- Ms. Ana Maria Montero Martinez
- Mr. Jamie Quinn
- Mr. David John Bourke
- Ms. Shukai Wang
- Mr. Philippos Papaphilippou
- Mr. Antti Oskari Mikkonen
- Mr. Konstantinos Koukas
- Mr. Alessandro Marzo
- Mr. Jan Packhäuser
- Mr. Paras Kumar
- Flyer 2017
- Apply 2017
- Projects 2017
- FAQ
- Privacy
- History
- 2016
- Projects 2016
- 1. Visualization data pipeline in PyCOMPSs/COMPSs
- 2. Development of sample application in PyCOMPSs/COMPSs
- 3. Topological susceptibility by direct calculation of the eigenmodes
- 4. Mixed-precision linear solvers for lattice QCD
- 5. Calculation of nanotubes by utilizing the helical symmetry properties
- 6. Apache Spark: Bridge between HPC and Big Data?
- 7. In Situ or BAtch VIsualization of biogeochemical state of the Mediterranean Sea
- 8. In Situ VIsualizzation of NAvier-Stokes Tornado Effect
- 9. Parallelising Scientific Python applications
- 10. Weather forecasting for outreach on Wee Archie supercomputer
- 11. Smartphone Task Farm
- 12. Re-ranking Virtual Screening results in computer-aided drug design
- 13. Molecular Dynamics simulation of the E545K PI3Ka mutant
- 14. Visualisation of fluids and waves
- 15. Development of a Performance Analytics Dashboard
- 16. Visualization of real motion of human body based on motion capture technology
- 17. Journey to the centre of the human body
- 18. Shape up or ship out – You decide!
- 19. Phine quarks and cude gluons
- 20. The CFD devil is in CAD details
- 21. Link prediction in large-scale networks with Hadoop framework
- 2016 Reports
- Application form
- Blogs 2016
- Participants 2016
- Training Week
- Training week timetable
- YouTube presentations
- Apply 2016
- Awards Ceremony at Cineca
- Timeline 2016
- Projects 2016
- 2015
- 2014
- 2013
- 2016
- Final Reports
