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CSCS course “Getting the best out of multi-core” available on video

Monday, January 7th, 2013

The course “Getting the best out of multi-core” held at CSCS in Lugano on December 10-12, 2012 is now available on video » . There were 20 participants for the three-day hands-on oriented course to show how to get the most out of Intel Sandy Bridge and AMD Interlagos processors by investigating the following:

  • Code vectorization
    • Understanding processor architecture and the potential speedup from vectorization
    • Using compiler feedback to understand where vectorization is and is not achieved
    • Using compiler feedback, compiler options and pragmas to improve vectorization
  • Tuning for the cache hierarchy
    • Understanding the cache and memory hierarchy on modern multi-core processors
    • Analysing performance reports to determine poor cache utilisation
    • Code changes and compiler options to improve cache utilisation
  • Multi-threading
    • An example of a threading model – OpenMP
    • Use of tools to help produce multi-threaded code
    • Understanding of threading pitfalls that affect code correctness
    • Understanding of threading performance issues on multi-socket multi-core nodes

The material of the courses held at CSCS is available also on CSCS user portal ».

Challenge of Big Data in Science

Thursday, September 27th, 2012

LSDMA is the first international conference of the German Helmholtz Association and took place on Sept. 25 at KIT Karlsruhe.

Attendees from CERN, Lausanne, San Diego Supercomputing Center, Johns Hopkins University presented solutions how large-scale data analysis can be carried out more efficiently in the future. Integration of large databases into novel HPC platforms and the development of related programming interfaces is the core subject of this symposium.

Alex Szalay from Johns Hopkins gave an excellent key note on Scientific Data Analysis today. New data intensive scalable architectures are required to adress the current move from hypothesis-driven to data-driven discoveries.

The overview of the talks to be found here:

Big Data Conference in Karlsruhe

An interesting cosmology project led by Alex is the digital sky survey.

Technical Report on Designing Astronomy Archives

Presentation about SDSS Sky Server

Twitter: cscsch