Even as a child, Torsten Hoefler, Assistant Professor at ETH Zurich, was fascinated by numbers. For example, he would memorise as many car registration numbers as possible and attempt to somehow quantify the world on a daily basis. He would count the distance to school in steps and try to optimise this number. Even today, Hoefler organises his everyday life using mathematical models. The computer scientist even admits to having a performance model for his life. "I’ve definitely taken a bit of a mathematical view of life, but then my job is derived from my life," he says.
Making computers more efficient
Hoefler’s has had a brief but remarkable career, taking him from TU Chemnitz, where he completed his Master’s degree, to a doctorate at Indiana University and a position as Adjunct Assistant Professor at the University of Illinois, and finally to ETH Zurich. At ETH, he is currently leading the Scalable Parallel Computing Lab at the Institute of Computer Systems.
The laboratory’s name alludes to his research: the team works to increase the efficiency of computers using software that issues arithmetic instructions. Nowadays, the key method for this process is parallel computing, whereby the work is distributed across a large number of computing cores (processors) in order to allow as many arithmetic operations as possible to be performed simultaneously. The scientists in Hoefler’s group aim to find out how high-performance computing applications can be run efficiently on highly parallel systems with several million computing cores.
Uniting theory and practice
The computer scientist and his team develop mathematical models and implement these into software that issues instructions to supercomputers. Hoefler mentions that it is not usual for a laboratory in this field to tackle both theory and practice. When he asked his mentors for advice on career planning, he says they recommended avoiding precisely this combination at all costs, as it is complex and laborious. And yes, he says, it is indeed a lot of work, but it is also extremely rewarding because it allows you to do something in practice after you have understood the theory behind it. At ETH in particular, which benefits from the supercomputer infrastructure of the Swiss National Supercomputing Centre (CSCS), and in Switzerland with the projects run by the Platform for Advanced Scientific Computing ( PASC ), the practical side is being driven forwards at the highest level, stresses Hoefler.
In the context of PASC, Hoefler and his team are focussing on the compiler. This takes the scientific programs written in readable programming language and translates them into efficient computer language. Based on an existing and frequently used compiler, Hoefler wants to develop a so-called heterogeneous compiler that translates and optimises applications for various computer architectures. If this works, it would offer both data centre operators and their users more flexibility in their choice of supercomputer architecture.
"I can’t imagine anything better"
"I’m in the perfect environment here - in Switzerland, at ETH, and at my department with its theorists and practitioners. I can’t imagine anything better," stresses Hoefler. "Discussions with colleagues are always enlightening and provide me with new ideas. That’s how science works."
For Hoefler, research means being precise and having understood a topic so profoundly and comprehensively that you are considered the world’s leading expert on it. And that’s how he approaches his subject area. Although he already has a long list of awards and accolades, the Latsis Prize is a particularly great honour for him and serves as another significant landmark in his career. He is receiving the prize for his work in the field of performance modelling, as well as for the simulation and optimisation of highly scalable parallel computer programs.
Only running can rival his passion for research
It’s not just that he’s mathematised his life, admits the 34-year-old computer scientist, but that research has genuinely become his life. At some point, he recalls stumbling across the quote "Learn from everyone, follow no one, work like hell". He recognised himself in this, but also added "believe anything is possible" to the quote because, Hoefler says, this is the only way to remain open to new ideas.
Whenever he is not researching, the former triathlete tries to run as often as possible because, like the Ancient Greeks, he is convinced that a healthy body is essential for a healthy mind. Running is both his hobby and his passion, and he dedicates every spare moment to it. Sometimes, Hoefler even discusses problems with students while he is running. It is important to him to pass on his approach, knowledge and experience to his students, so that they too will learn to state their opinions succinctly. "The great thing about science is the inspirational environment that surrounds you on a daily basis, where the main task is to develop your own mind and, at the same time, to help others," says the ETH professor.
ETH Zurich Latsis Prize and ETH Day 2015
Established by the Fondation Latsis Internationale, this prize is awarded annually by ETH Zurich to honour outstanding work by its younger researchers across all research disciplines. It will be awarded on ETH Day on 21 November 2015 by Rector Sarah Springman.
Prizewinners from previous years: www.fondationlatsis.org
On ETH Day , ETH Zurich will invite guests from research, politics and business to celebrate the university’s 159th anniversary. It is traditionally on this day that ETH Zurich presents honorary doctorates to individuals who have made outstanding contributions to international science. Students, doctoral students and lecturers are also awarded prizes for outstanding achievements.
