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Team RACKlette
Primary Advisor
Event Type
Virtual Student Cluster Competition
Student Program
Registration Categories
TimeThursday, 19 November 20208:30am - 5pm EDT
LocationPoster Module
DescriptionRACKlette formed in autumn of 2018, when a group of friends studying Computer Science got together with the peculiar idea of wanting to build a supercomputer. Inspired by Prof. Hoefler’s mention of the Student Cluster Competition towards the end of the Parallel Programming class in our first year, the team applied for the ISC19 SCC. Two years later we have competed in 3 Cluster Competitions to date and are keen on continuing competing at SC20 as well.
All of us are Computer Science Bachelor students from various semsters at ETH Zurich. In addition to the normal background our lectures entail, we also bring a breadth of knowledge from different areas to the team, gained in additional projects. We got the theoretical introduction to HPC in Prof. Hoefler’s Parallel Programming lecture. This is paired by the practical HPC knowledge which some of us gained during the preparation for the previous competitions we attended. This includes compiling software, scheduling jobs, managing packages and dependencies, monitoring system performance and experimenting with different software and hardware parameters. We are eager to learn more and futher establish our team as a regular contestant at Student Cluster Competitions. Having participated in the past greatly benifits us, since we already know the basics of HPC and of organising our participation from sponsors to travel. Thus we are able to focus on what really counts: optimising the software.
While three of our team members have already participated at SC19, there are also three newcomers, Dario Romaniello, Simon Wachter and Rahul Steiger. They bring a breath of fresh air to the team together with new knowledge in areas such as hardware tuning. We are eager to compete in the Student Cluster Competition because it allows us to learn far more than we would ever have learned in class in the same amount of time. Cluster systems and optimizing for performance will gain more and more importance in a world driven by data. The know-how we gather from this competition will help us in possible career paths in both academia and the industry. Also, during the process of preparing and competing in the SCC, we meet extremely interesting people, both from research and from the industry, who broaden our minds about the challenges of HPC and the different approaches people take to tackle cutting edge problems.
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