The Swiss National Supercomputing Centre (CSCS), the Institute of Computational Sciences (ICS) at USI (Università della Svizzera italiana), and the Data Analytics and Data-Driven Simulations program (DADSi, part of FoMICS) invite you to participate in the summer school on “Accelerating Data Science with HPC” taking place at CSCS in Lugano on September 4th – 6th, 2017.
Inquisitive minds want to know what causes the universe to expand, how M-theory binds the smallest of the small particles or how social dynamics can lead to revolutions. In recent centuries, developments in science and technology brought us closer to explore the expanding universe, discover unknown particles like bosons or find out how and why a society interacts and reacts. To explain the fascinating phenomena of nature, Natural scientists develop complex ‘mechanistic models’ of deterministic or stochastic nature. But the hard question is how to choose the best model for our data or how to calibrate the model given the data.
On the first day of the summer school, we learn Approximate Bayesian Computation (ABC), a methodology used by statisticians to answer these questions, with an integration of High Performance Computing (HPC) on Supercomputers. The second day focuses on a popular machine learning approach, Deep Learning, which mimics the deep neural network structure in our brain, in order to predict complex phenomena of nature. The summer school takes a route of open discussion and brainstorming sessions where we explore two cornerstones of today’s data-science, ABC and Deep Learning being accelerated by HPC with hands on examples and exercises.
We are ready to start with you a journey towards unveiling the mysteries of nature, sharing and integrating ideas from ABC and Deep Learning.
Additional information on how to register is also available on CSCS webpage.