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PASC18 Conference Grows in Attendance and Scope

Over at CSCS, Simone Ulmer writes that more than 400 scientists from all over the world met in Basel in early July for PASC18. With more than 200 talks centered around the conference theme of “Fast and Big Data, Fast and Big Computation” 400 attendees enjoyed the exchange of knowledge in the area of Scientific Computing and Computational Science.

Supercomputing how Fish Save Energy Swimming in Schools

Over at CSCS, Simone Ulmer writes that researchers at ETH Zurich have clarified the previously unresolved question of whether fish save energy by swimming together in schools. They achieved this by simulating the complex physics on the supercomputer ‘Piz Daint’ and combining detailed flow simulations with a reinforcement learning algorithm for the first time. “In their simulations, they have not examined every aspect involved in the efficient swimming behavior of fish. However, it is clear that the developed algorithms and physics learned can be transferred into autonomously swimming or flying robots.”

Scratch to Supercomputers: Bottoms-up Build of Large-scale Computational Lensing Software

Gilles Fourestey from EPFL gave this talk at the Swiss HPC Conference. “LENSTOOL is a gravitational lensing software that models mass distribution of galaxies and clusters. It is used to obtain sub-percent precision measurements of the total mass in galaxy clusters and constrain the dark matter self-interaction cross-section, a crucial ingredient to understanding its nature.”

Video: Piz Daint Supercomputer speeds PRACE simulations in Europe

In this video, the European PRACE HPC initiative describes how the Piz Daint supercomputer at CSCS in Switzerland provides world-class supercomputing power for research. “We are very pleased that Switzerland – one of our long-time partners in high-performance computing – is joining the European effort to develop supercomputers in Europe,” said Mariya Gabriel, Commissioner for Digital Economy and Society. “This will enhance Europe’s leadership in science and innovation, help grow the economy and build our industrial competitiveness.”

Searching for Human Brain Memory Molecules with the Piz Daint Supercomputer

Scientists at the University of Basel are using the Piz Daint supercomputer at CSCS to discover interrelationships in the human genome that might simplify the search for “memory molecules” and eventually lead to more effective medical treatment for people with diseases that are accompanied by memory disturbance. “Until now, searching for genes related to memory capacity has been comparable to seeking out the proverbial needle in a haystack.”

GPUs Power Near-global Climate Simulation at 1 km Resolution

A new peer-reviewed paper is reportedly causing a stir in the climatology community. “The best hope for reducing long-standing global climate model biases, is through increasing the resolution to the kilometer scale. Here we present results from an ultra-high resolution non-hydrostatic climate model for a near-global setup running on the full Piz Daint supercomputer on 4888 GPUs.”

Interview: Piz Daint Supercomputer advances to the #3 position on the TOP500

In this video from PASC17 in Lugano, Michele De Lorenzi from CSCS discussed the recent advancement of Piz Daint supercomputer to the #3 position on the TOP500. After that, he describes the mission of the PASC conference and the location of PASC18 next year.

Radio Free HPC Runs Down the Latest TOP500

In this podcast, the Radio Free HPC team looks at the latest TOP500 list of the world’s fastest supercomputers. It’s Day 1 here at the ISC 2017 conference, and we’ll be keeping you posted on all the news as the show goes June 18-22 in Frankfurt, Germany.

Cray Collaborates with Microsoft & CSCS to Scale Deep Learning

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.”

New Cray XC50 Delivers 1 Petaflop Per Cabinet

Today Cray announced the launch of the Cray XC50 supercomputer – the company’s fastest supercomputer ever with a peak performance of one petaflop in a single cabinet. “Supercomputing applications are evolving to include more deep learning algorithms, and with this evolution, the uses for GPUs in our systems are increasing, enabling our customers to use new analytics techniques to gain insight from increasingly large and complex data,” said Ryan Waite, Cray senior vice president of products. “The new Cray XC50 system represents a major advancement in our supercomputing capabilities. It provides the highest performance density of any Cray supercomputer, and gives customers the computational resources they need to take on larger, more complex workloads, as well as the next generation of scientific challenges.”