Torsten Hoefler (Professor)
Ph.D., Indiana University, 2008
Contact: htor at inf.ethz.ch / Office: CAB F 75

 

Torsten is a Full Professor of Computer Science at ETH Zürich, Switzerland. Before joining ETH, he led the performance modeling and simulation efforts of parallel petascale applications for the NSF-funded Blue Waters project. He is also a key member of the Message Passing Interface (MPI) Forum where he chairs the "Collective Operations and Topologies" working group. Torsten received his Ph.D. in Computer Science from Indiana University. He won the best paper award at the ACM/IEEE Supercomputing Conference 2010 (SC10), published over 40 peer-reviewed scientific conference and journal articles and authored chapters of the MPI-2.2 and MPI-3.0 standards. Torsten received the SIAM SIAG/Supercomputing Junior Scientist Prize in 2012. His research interests revolve around the central topic of "Performance-centric Software Development" and deal with scalable networks, parallel programming techniques, and performance modeling.

Timo Schneider
M.S., Chemnitz University of Technology, Germany, 2011
Contact: timos at inf.ethz.ch / Office: CAB E 71.2

 

Timo received his Diplom (german equivalent of Master of Science) from the Chemnitz University of Technology. His main research topic is communication within high-performance computing, in particular hardware offload for collective communication. He has won the SC08 Cluster Challenge, as well as the best paper award at SC10 (together with Torsten Hoefler).

Within the SPCL lab he is also responsible for some administrative tasks, such as IT infrastructure.

Maciej Besta
PhD, ETH Zurich, Switzerland, 2021
Contact: maciej.besta at inf.ethz.ch / Office: CAB D 71

 

Maciej works in the areas of high-performance irregular computations and interconnects at the Scalable Parallel Computing Lab at ETH Zurich. He received his PhD from ETH Zurich in 2021. Maciej published around 50 top conference and journal papers. He won, among others, the competition for the Best Student of Poland (2012), the first Google Fellowship in Parallel Computing (2013), the ACM/IEEE-CS High-Performance Computing Fellowship (2015), TEC Fellowship (2022), the ETH Medal for outstanding doctoral thesis (2021), awards from ACM SIGHPC, IEEE, and SPEC for the best doctoral thesis in high-performance computing, scalable computing, and performance evaluation. He received Best Paper awards and Best Student Paper awards at ACM/IEEE Supercomputing 2013, 2014, and 2019, at ACM HPDC 2015 and 2016, ACM Research Highlights 2018, and several more best paper nominations. More detailed information here.

Alexandru Calotoiu
Ph.D., Technical University Darmstadt, Germany, October 2017
Contact: acalotoiu at inf.ethz.ch / Office: CAB D 71

 

Alexandru received his Ph.D. from the Technical University Darmstadt and his M.Sc. from the RWTH Aachen University. His research interests revolve around understanding and improving the performance of parallel programs, and his focus during his Ph.D. was the automatic empirical performance modeling of parallel applications. His current research interests include optimizing parallel applications, leveraging machine learning in performance analysis, and automating performance analysis workflows.

Alexandros Nikolaos Ziogas
M.Sc., National Technical University of Athens, Greece, 2016
Contact: alexandros.ziogas at inf.ethz.ch / Office: CAB E 61.3

 

Alexandros holds a Diploma/M.Sc. in Electrical and Computer Engineering from the National Technical University of Athens, Greece. His research interests lie in parallel and distributed computing, optimization and machine learning.

Marcin Copik
M.S., RWTH Aachen, Germany, 2017
Contact: marcin.copik at inf.ethz.ch / Office: CAB D 71

 

Marcin holds a Master in Simulation Sciences from RWTH Aachen and a Bachelor in Computer Science from the Silesian University of Technology in Poland. During his studies he interned at the Louisiana State University, USA, working on heterogeneous programming in HPX. His research interests include high-performance computing, parallel algorithms, and heterogeneous computing.

Lukas Gianinazzi
M.S., ETH Zurich, Switzerland, 2019
Contact: lukas.gianinazzi@inf.ethz.ch / Office: CAB D 71

 

Lukas received his MSc in Computer Science from ETH Zurich. His research focuses on graph algorithms and communication efficiency, with a special interest in randomized approaches. For his work on parallel minimum cut algorithms he won the best paper award at SPAA'18.

Andrei Ivanov
M.S.,Moscow Institute of Physics and Technology, Russia, 2019
Contact: anivanov at inf.ethz.ch / Office: CAB D 71

 

Andrei received his Bachelor degree in Computer Science (2017) and a Master degree in Applied Mathematics and Physics (2019) from Moscow Institute of Physics and Technology (MIPT), Russia. Before joining SPCL, Andrei worked in the laboratory of Applied computational geophysics (at MIPT) from 2014 to 2019. He participated in the implementation of high-performance numerical solvers for geological simulations. His research interests include high-performance computing, compiler optimizations, algorithms, and programming models of parallel computations.

Saleh Ashkboos
MSc, Sharif University of Technology, Tehran, January 2020
Contact: saleh.ashkboos at inf.ethz.ch / Office: CAB D 71

 

Saleh received his master in Computer Science from Sharif University of Technology. During his master, he worked in the Distributed Algorithms and Systems lab (at IST Austria) in 2019. He was working on the implementation of distributed training of deep neural networks with low communication overhead. His research interests are high-performance computing, parallel and distributed training of deep neural networks, and high-performance graph computations.

Philipp Schaad
MSc, ETH Zurich, Switzerland, March 2021
Contact: philipp.schaad at inf.ethz.ch / Office: CAB E 73.1

 

Philipp holds a Master in Computer Science from ETH Zurich. He has spent four years in industry as a Software Engineer and joined ETH Zurich as a PhD student. His main research interests include scalable visualization techniques and tooling for high-performance computing, parallel programming models, and automated and interactive performance analysis.

Langwen Huang
MSc, ETH Zurich, Switzerland, November 2021
Contact: langwen.huang at inf.ethz.ch / Office: CAB D 71

 

Langwen received his Bachelor’s degree in Atmospheric Science from Nanjing University of Information Science and Technology and the University of Manchester. He received his MSc in Computational Science and Engineering from ETH Zurich. His research interests are high performance computing, numerical weather and climate modeling, and compiling techniques.

Marcin Chrapek
MSc, University of Cambridge, UK, June 2021
Contact: marcin.chrapek at inf.ethz.ch / Office: CAB D 71

 

Marcin received his Bachelor and Master degrees in Information and Computer Engineering from the University of Cambridge. His interests lie at the intersections of computer architecture, networking and operating systems. His current research topics are in disaggregated memory and secure RDMA.

Patrick Iff
MSc, ETH Zurich, Switzerland, March 2022
Contact: patrick.iff at inf.ethz.ch / Office: CAB D 71

 

Patrick received his master in Computer Science from ETH Zurich. In his master's thesis, he worked on model driven topology design for networks on chip. His research interests include optimization, networking and high-performance computing.

Mikhail Khalilov
MSc, National Research University Higher School of Economics Moscow, Russia, June 2020
Contact: mikhail.khalilov@inf.ethz.ch / Office: CAB E 71.2

 

Mikhail received his BSc and MSc degrees in Applied Mathematics from Moscow Institute of Electronics and Mathematics at the Higher School of Economics University. During his studies he contributed in the Angara interconnect project and Intel MPI library development. Before joining SPCL he worked at Huawei Russian Research Institute as a research engineer on HPC and Data-Center networking protocols. Mikhail’s research interests include parallel programming interfaces, networking protocols, runtimes and computer architecture in general.

Siyuan Shen
MSc, Imperial College London, United Kingdom, July 2022
Contact: siyuan.shen@inf.ethz.ch / Office: CAB D 77

 

Siyuan received his MEng degree in Computing from Imperial College London. He worked on multi-agent reinforcement learning and distributed optimization in his master's thesis. Siyuan's primary research interests include distributed computing, networking, and distributed machine learning.

Daniela Campanile
Contact: daniela.campanile at inf.ethz.ch / Office: CNB H 107.1

 

Daniela is the administrative support for the group. No matter whether questions regarding Human Resources, Finance, Event management or other topics arise, she will make sure that the researchers can really focus on their projects. Daniela formerly worked as an Personal Assistant in HR and Global Sales for Mondelez International. Before that she worked as Sales Manager in the hotel industry and studied hotel management in Chur.

Pawel Renc
MSc, AGH University of Science and Technology. Cracow, Poland, 2021
Contact: pawel.renc@inf.ethz.ch / Office: CAB D71.1

 

Paweł obtained the title of MSc. in CS at the AGH University of Science and Technology in Krakow, specializing in data science. He is a phd student at the same university and at Sano, centre for computational medicine. His research interests include AI, optimization algorithms and parallel computing in the GPGPU architecture.

Paolo Sylos Labini
MSc, University of Bari, Italy, 2018
Contact: paolo.syloslabini@inf.ethz.ch / Office: CAB D71.1

 

Paolo received his Master degree in Theoretical Physics from the University of Bari. He is a PhD student at the Free University of Bolzano. His main research interests concern the theory and practice of efficiently processing irregular and unstructured data, with a focus on sparse linear algebra.

David Saam
BSc, RWTH Aachen University, Germany October 2020
Contact: davidjoshua.saam@inf.ethz.ch / Office: CAB D71.1

 

David received his Bachelor degree in Computer Science from RWTH Aachen University, where he is also currently studying for his Master’s degree. His main research interests include collective algorithms for Machine Learning, heterogeneous computing and MPI