The Data Science with Spark Workshop addresses high-level parallelization for data analytics workloads using the Apache Spark framework. Participants will learn how to prototype with Spark and how to exploit large HPC machines like the Piz Daint CSCS flagship system.
“This video is from the opening session of the “Introduction to Programming Pascal (P100) with CUDA 8″ workshop at CSCS in Lugano, Switzerland. The three-day course is intended to offer an introduction to Pascal computing using CUDA 8.”
Thomas Schulthess from CSCS gave this Invited Talk at SC16. “Experience with today’s platforms show that there can be an order of magnitude difference in performance within a given class of numerical methods – depending only on choice of architecture and implementation. This bears the questions on what our baseline is, over which the performance improvements of Exascale systems will be measured. Furthermore, how close will these Exascale systems bring us to deliver on application goals, such as kilometer scale global climate simulations or high-throughput quantum simulations for materials design? We will discuss specific examples from meteorology and materials science.”
In this video, CSCS celebrates its 25th anniversary of high performance computing in Switzerland.
Today Cray announced the results of a deep learning collaboration with Microsoft CSCS designed to expand the horizons of running deep learning algorithms at scale using the power of Cray supercomputers. “Cray’s proficiency in performance analysis and profiling, combined with the unique architecture of the XC systems, allowed us to bring deep learning problems to our Piz Daint system and scale them in a way that nobody else has,” said Prof. Dr. Thomas C. Schulthess, director of the Swiss National Supercomputing Centre (CSCS). “What is most exciting is that our researchers and scientists will now be able to use our existing Cray XC supercomputer to take on a new class of deep learning problems that were previously infeasible.”
Next month at SC16, Dr. Thomas Schulthess from CSCS in Switzerland will present a talk entitled “Reflecting on the Goal and Baseline for Exascale Computing.” The presentation will take place on Wednesday, Nov. 15 at 11:15 am in Salt Palace Ballroom-EFGHIJ.
Over at CSCS, Simone Ulmer writes that the Swiss National Supercomputing Centre is turning twenty-five. First opened in 1991, CSCS supports users from Swiss and international institutions in their top-flight research and runs computers as a service facility for research associations and MeteoSwiss.
Today the PASC17 Conference announced a track focused on Precision Medicine as Special Topic for Emerging Domains. “Precision medicine, also referred to as personalized medicine, is an emerging domain that is adding tremendous value to the study of life sciences and medical treatment. The requirements that it has for rapid – and secure – processing, analysis and management of vast quantities of data in a wide range of different medical environments make precision medicine ideally suited to high performance computing.”
In this video from the HPC Advisory Council Spain Conference, Hussein Harake provides an overview of the CSCS and then introduces the audience to the BeeGFS parallel file system. “BeeGFS (formerly FhGFS) is an up and coming parallel cluster file system for I/O intensive workloads. Developed with a strong focus on performance, BeeGFS was designed for very easy installation and management.”
The Piz Daint supercomputer at the Swiss National Supercomputing Centre (CSCS) is again assisting researchers in competition for the prestigious Gordon Bell prize. “Researchers led by Peter Vincent from Imperial College London have made this year’s list of finalists for the Gordon Bell prize, with the backing of Piz Daint at the Swiss National Supercomputing Centre. The prize is awarded annually in November at SC, the world’s largest conference on supercomputing. It honors the success of scientists who are able to achieve very high efficiencies for their research codes running on the fastest supercomputer architectures currently available.”