Torsten Hoefler (Professor)
Ph.D., Indiana University, 2008
Contact: htor at inf.ethz.ch / Office: OAT V 15

 

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: OAT V 19.1

 

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: OAT V 17

 

Maciej leads research on sparse graph computations at the Scalable Parallel Computing Lab at ETH Zurich; he also works on interconnects. 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), and awards from IEEE (2021), SPEC (2022), and ACM SIGHPC (2022) for the best doctoral thesis in scalable computing, performance evaluation, and high-performance computing. He received Best Paper awards at ACM/IEEE Supercomputing 2013, 2014, 2019, and 2022, at ACM HPDC 2015 and 2016, ACM Research Highlights 2018, and several more best paper nominations. More detailed information here.

Benjamin Weber
MSc, ETH Zurich, Switzerland, February 2018
Contact: benjamin.weber at inf.ethz.ch / Office: OAT V 14.2

 

During his MSc in Computer Science at ETH Zurich, Benjamin focused on software verification, high-performance computing and machine learning. He continued at MeteoSwiss for three years where he worked on compilers for climate and weather codes targeting GPUs. He is currently leading the software engineering aspects of the DaCe framework. His interests include HPC applications, hardware architectures, accelerators and compilers.

Alexandru Calotoiu
Ph.D., Technical University Darmstadt, Germany, October 2017
Contact: acalotoiu at inf.ethz.ch / Office: OAT V 14.2

 

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. He is currently leading the research aspects of the DaCe framework within SPCL.

Nabil Abubaker (SNSF Swiss Postdoctoral Fellowship)
Ph.D., Bilkent University, Turkey, 2022
Contact: nabubaker at inf.ethz.ch / Office: OAT V 18

 

Nabil received his Ph.D. in Computer Engineering from Bilkent University in 2022. His research interests are in the areas of scalable parallel algorithms and computer systems. He is particularly interested in sparse computations at scale, graph/hypergraph partitioning, and communication-efficient algorithms. During his graduate studies, Nabil developed novel algorithms to scale parallel sparse tensor and matrix factorizations on HPC systems. His work is published in flagship journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Computers

Greg Kwasneiwski
Ph.D., ETH Zurich, Switzerland, 2021
Contact: gkwasnie at inf.ethz.ch / Office: OAT V 17

 

Grzegorz received his Ph.D. from the ETH Zurich. His research focuses on, among others, distributed linear algebra, communication-minimizing algorithms, arithmetic, and data movement complexity. In his Ph.D. thesis, he established new algorithms for matrix multiplication, LU, and Cholesky factorizations, as well as proved tight communication lower bounds for a plethora of important computation kernels with his combinatorial data movement model. His current research interests aim to establish provably optimal algorithms for sparse and graph computations, both for scientific applications and modern AI workloads.

Marcin Copik
M.S., RWTH Aachen, Germany, 2017
Contact: marcin.copik at inf.ethz.ch / Office: OAT V 19.1

 

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: OAT V 17

 

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: OAT V 14.2

 

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: OAT V 17

 

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: OAT V 14.1

 

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: OAT V 17

 

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: OAT V 13

 

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: OAT V 18

 

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: OAT V 13

 

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: OAT V 13

 

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.

Tommaso Bonato
MSc, ETH Zurich, Switzerland, 2021
Contact: tommaso.bonato at inf.ethz.ch / Office: OAT V 14.2

 

Tommaso received his BSc in Computer Science and Engineering from the University of Bologna, Italy and his MSc in Computer Science from ETH. During his studies he interned at the European Space Agency (ESA) and Amazon. He is currently also affiliated with Microsoft and working on networking topics. His main research interests include networking protocols and topologies, high-performance computing and green computing.

Patrik Okanovic
MSc, ETH Zurich, Switzerland, 2023
Contact: patrik.okanovic at inf.ethz.ch / Office: OAT V 14.2

 

Patrik received his BSc in Computer Science from the Faculty of Electrical Engineering and Computing at the University of Zagreb and his MSc in Computer Science from ETH Zurich. He worked on efficient training of neural networks, graph neural networks for multivariate time series data, and domain generalization. His research interests include efficient and large-scale machine learning.

Luigi Fusco
MSc, Politecnico di Milano, Italy, 2022
Contact: luigi.fusco at inf.ethz.ch / Office: OAT V 18

 

Luigi received his BSc and MSc degrees (in 2022) in Computer Science and Engineering from Politecnico di Milano, Italy. During his studies he interned at CERN and Oracle. His research interests include high performance computing, algorithms, and heterogeneous architectures.

Iva Kabosch
Contact: iva.kabosch at inf.ethz.ch / Office: OAT V 14.1

 

Iva has worked in the educational field since her studies in Anglophone literature and cultures in various roles. After more than twelve years in the ELT industry as a part-time language teacher and a representative of a publishing house under the Cambridge English brand, she shifted her focus to university administration. Her job is to guarantee that all administrative processes from events to budget, grants and hiring go smoothly, so that the group can concentrate fully on their research. Office hours: Tuesday, Wednesday, Thursday.

Lukas Truemper

 

Lukas works with us within the DaCe project, he makes great contributions in the area of transfer tuning for DaCe programs.

Tal Ben-Nun

 

Tal works with us within the DaCe project, we are greatful for his continuous engagement and his contributions to DaCe as its former lead developer are of great value to the project.

Daniele De Sensi

 

Daniele continues making great contributions to SPCLs research in the area of high-performance networking.