SPCL Members

Head of the Lab
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.

Scientific Staff


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.


Postdocs


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.



Ph.D. Students


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 19.2

 

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.

Administration


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.



Associated Researchers


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.



Postdoc Alumni Gallery


Sabela Ramos
Left to: Google
Pierre Jolivet
Left to: CNRS
Edgar Solomonik
Left to: Prof. at UIUC
Jagpreet Singh
Left to: Prof. at IIT Ropar
Tobias Grosser
Left to: Prof. at University of Edingburgh

Shigang Li
Left to: Prof. at Beijing University of Post and Telecommunucations
Daniele DeSensi
Left to: Prof. at Sapienza University of Rome
Kazuki Osawa
Left to: DeepMind
Tal Ben-Nun
Left to: LLNL
Nikoli Dryden
Left to: LLNL

Tiziano De Matteis
Left to: Prof. at Vrije Universiteit Amsterdam


Ph.D. Graduate Gallery


Tobias Gysi graduated in 2020, with his dissertation titled "Data Movement Optimization for High-Performance Computing".
Left to: Google
Bogdan Priscari graduated in 2020, with his dissertation titled "Workload and Interconnection Network Aware Performance Optimization".
Left to: IBM Research
Maciej Besta graduated in 2021, with his dissertation titled "Enabling High-Performance Large-Scale Irregular Computations".
Left to: ETH
Salvatore Di Girolamo graduated in 2021, with his dissertation titled "Application-driven network and storage optimizations".
Left to: NVIDIA
Grzegoz Kwasniewski graduated in 2022, with his dissertation titled "Performance Modeling and Optimal Schedules for Statically Analyzable Programs".
Left to: NextSilicon

Johannes De Fine Licht graduated in 2022, with his dissertation titled "Productive FPGA Programming for High-Performance Computing".
Left to: NextSilicon
Konstantin Taranov graduated in 2022, with his dissertation titled "Data management in modern RDMA-capable networks".
Left to: Microsoft
Niels Gleining graduated in 2022, with his dissertation titled "Optimizing the Use of Compute Resources in Classical and Quantum Computing". Alexandros Ziogas graduated in 2023, with his dissertation titled "A Data-Centric Optimization Workflow for Python Language".
Left to: ETH


Current Master/Bachelor Students


Julien Schenkel
Master ETH
Thesis Title: Harnessing the Myers Briggs Type Indicator for more effective prompting
Ondrej Cernin
Master ETH
Thesis Title: Radio DaCe
Jan Kleine
Master ETH
Thesis Title: Program Sparsification with DaCe
Rahel Maag
Master ETH
Thesis Title: Comparison and Development of Adaptive Routing Algorithms for Networks-on-Chip
Lukas Kapp-Schwoerer
Master ETH
Thesis Title: Efficient Feature Extraction for Distributed Graph Machine Learning
Yu Hong
Master ETH
Thesis Title: How Powerful is Quantum Graph Neural Network
Cliff Hodel
Master ETH
Thesis Title: Performance Evaluation of DaCe Programs


SPCL Alumni


Left SPCL as Faculty
  • Jagpreet Singh - Visiting Scientist (Swiss Government Excellence Fellow) (2016-2017)
    From: IIT Ropar
    Left to: IIT Allahabad (Assistant Professor)
  • Tobias Grosser - Postdoc (2019-2020)
    From: École Normale Supérieure Paris
    Left to: University of Edinburgh (Reader)
  • Edgar Solomonik - Postdoc (2014-2016)
    From: University of California Berkeley
    Left to: University of Illinois at Urbana-Champaign (Assistant Professor)
  • Pierre Jolivet - Postdoc (2015)
    From: Université de Grenoble
    Left to: CNRS
Left SPCL to Academia
  • Theodoros Theodoridis - Researcher (2019)
    From: ETH Zurich (M.Sc. student)
    Left to: ETH Zurich (Ph.D. student)
  • David Saam - Student Research Assistant (2022)
    From: RWTH Aachen
    Left to: RWTH Aachen
  • Andreas Kuster - Student Research Assistant (2021)
    From: ETH Zurich
    Left to: ETH Zurich (M.Sc. student)
  • Carl-Johannes Johnsen - Visiting Student (2021)
    From: University of Copenhagen
    Left to: University of Copenhagen (PhD student)
  • Yuanchao Xu - Visiting Student (2017)
    From: Tsinguhua University
    Left to: Tsinguhua University (PhD student)
  • Yosuke Oyama - Visiting Student (2017)
    From: Tokyo Institute of Technology
    Left to: Tokyo Institute of Technology (PhD Student)
  • Johannes Doerfert - Visiting Scientist (HiPEAC fellowship) (2016)
    From: Saarland University
    Left to: Saarland University (PhD Student)
  • Flavio Vella - Visiting Scientist (2016)
    From: Sapienza, University of Rome
    Left to: Sapienza, University of Rome
  • Giuseppe Portaluri - Visiting Scientist (HiPEAC fellowship) (2015)
    From: University of Pisa
    Left to: University of Pisa (Ph.D. student)
  • Robert Khasavov - Student Intern (2014-2015)
    From: Moscow Institute of Physics and Technology
    Left to: TU Dresden (Ph.D. student)
  • Arnamoy Bhattacharyya - Student (2013-2015)
    From: University of Alberta
    Left to: University of Toronto (Ph.D. student)
  • Marius Poke - Student Intern (2014-2015)
    From: RWTH Aachen
    Left to: University of Stuttgart/HLRS (Ph.D. student)
  • Dmitry Moor - Student Intern (2013-2014)
    From: Baumann University, Moscow
    Left to: University of Zurich (Ph.D. student)
  • Sabela Ramos Garea - Visiting Scientist (HiPEAC fellowship) (2012-2013)
    From: University of Coruna
    Left to: University of Coruna (Ph.D. student)
  • Robert Gerstenberger - Visiting Student (2013)
    From: Chemnitz University of Technology
    Left to: Chemnitz University of Technology (M.Sc. student)
Left SPCL to Industry
  • Lukas Trümper - Ph.D. Student (2022)
    From: RWTH Aachen
    Left to: Continental
  • Dominic Hofer - Software Engineer (2018-2021)
    From: MeteoSwiss
    Left to: MeteoSwiss
  • Giacomo Serafini - Software Engineer (2018-2021)
    From: Politecnico di Milano
    Left to: Code Lane GmbH
  • Yishai Oltchik - Ph.D. Student (2018-2020)
    From: Hebrew University
    Left to: NextSilicon
  • Bogdan Prisacari - Ph.D. Student (2020)
    From: ETH Zurich (M.Sc. student)
    Left to: IBM Research
  • Alexandr Nigay - Ph.D. Student (2018)
    From: University of Edinburgh
    Left to: Verity Studios
  • Andrea Bignoli - Ph.D. Student (2017)
    From: Politecnico di Milano
    Left to: -
  • Andrea Arteaga - Ph.D. Student (CSCS) (2015)
    From: ETH
    Left to: Nozomi Networks
  • Sabela Ramos Garea - Postdoc (2015-2016)
    From: University of Coruna
    Left to: Google
  • Roberto Belli - Visiting Student (2014-2015)
    From: Scuola Superiore Sant'Anna
    Left to: Credit Suisse


Completed Master/Bachelor Theses
Piotr Luczynski
Collectives and Sparse Matrices on Cerebras Spatial Hardware
Bachelor, 2023
Left to: -
Pengcheng Xu
Whole-system Integration of the SPIN In-Network-Compute Architecture
Master, 2023
Left to: -
Sven Zanetti
Designing a Communication Library for Versal devices using
Bachelor, 2023
Left to: -
Aleksander Lorenc
Finding Cliques in Sparse Graphs on the Spatial Computer
Bachelor, 2023
Left to: -
Boyan Zhou
Adoption and evolution of C++ in HPC Applications
Master, 2023
Left to: -
Alessandro Vezzo
Performance trade-offs analysis of SmartNIC architectures
Bachelor, 2023
Left to: -
Alfonso Catarino
Transformers for Dynamic Graphs
Bachelor, 2023
Left to: -
Niklas Römer
Designing of a communication library for Versal devices using
Bachelor, 2023
Left to: -
Benigna Bruggmann
Towards Next-Generation Inter-Chiplet Interconnects
Master, 2023
Left to: -
Matteo Nussbaumer
Improving parallelism in DaCe via better data management of arrays
Bachelor, 2023
Left to: -
Samuel Martin
DaCe on GPU for climate and weather modeling
Master, 2023
Left to: -
Julia Bazinska
Exploring graph representations for Graph Neural Networks
Master, 2023
Left to: -
Jascha Krattenmacher
Topology construction for heterogeneous interconnects
Bachelor, 2023
Left to: -
Raul-Ronald Galea
Transparent Serverless Programming
Master, 2023
Left to: -
Tiancheng Chen
Towards distributed sparse tensor computations in graph neural networks
Master, 2023
Left to: -
Noah Baumann
Distributed Gradient Preconditioning Framework
Master, 2023
Left to: -
Akanksha Baranwal
Optimizing CUDA convnets
Master, 2023
Left to: -
Hulda Lilja Hannesdottir
Tensorization; lifting fine-grained dataflow to matrix products that utilize GPU tensor cores
Master, 2023
Left to: -
Kalman Joseph Szenes
A GPU-accelerated Tensor Contraction Package
Master, 2023
Left to: -
Max Wierse
Evaluation of Xilinx Versal Device
Bachelor, 2023
Left to: -
Timon Kick
Towards an API for NP-complete problems using nested quantum search
Bachelor, 2023
Left to: -
Gyorgy Rethy
Process-as-a-Service computing on modern serverless platforms.
Master, 2023
Left to: -
Florian Scheidl
Representation Learning with Higher-Order Networks
Master, 2023
Left to: -
Mahmoud Hussein
Bringing Quantization to the transfer learning world
Bachelor, 2022
Left to: -
Cliff Hodel
Scheduling N-dimensional Reductions on GPUs
Bachelor, 2022
Left to: -
Daniela Knecht
Analysing the data movement of warp-level primitives
Bachelor, 2022
Left to: -
Malte Wächter
serverless optimizations & profiling
Bachelor, 2022
Left to: -
Max Krähenmann
Benchmarking of Flowcut Switching on the NS3 Simulator
Bachelor, 2022
Left to: -
Alexander Hammett
Robust Python Compilation with Data-Centric Parallel Programming
Bachelor, 2022
Left to: -
Václav Volhej
Accelerating Neural Audio Synthesis
Master, 2022
Left to: -
Luca Kummer
Benchmarking of DNN based post-processing methods of ensemble predictions
Bachelor, 2022
Left to: -
Zeno Simone Vintschger
Using sPIN to accelerate distributed graph algorithms
Master, 2022
Left to: -
Lukas Möller
Cppless: A single-source programming model for high-performance serverless
Bachelor, 2022
Left to: -
Virgilio Strozzi
A practical comparison of PsPIN with other Packets’ Processing Accelerators
Bachelor, 2022
Left to: -
Rahul Steiger
HPCG in DaCe
Bachelor, 2022
Left to: -
Thomas Rupf
Automatic Inference of Stream Semantic Registers in LLVM
Bachelor, 2022
Left to: -
Laurin Brandner
Benchmarking serverless workflows
Master, 2022
Left to: -
Andrea Lepori
Practical data-centric optimization of C/C++ applications
Bachelor, 2022
Left to: -
Andra Ilies
Radio DaCe
Master, 2022
Left to: -
Yves Baumann
Graph Algorithms for the Spatial Computer Model
Bachelor, 2022
Left to: -
Till Alexander Dubach
Low-rank Kronecker-factored Approximate Curvature for Training Deep Neural Networks
Bachelor, 2022
Left to: -
Andrea Keusch
Accelerating Graph Neural Networks using SlimSell and Vectorization
Bachelor, 2022
Left to: -
Jacob Simon Walter
Data-centric GPU matrix-matrix multiplication: implementing cuCOSMA in DaCe
Bachelor, 2022
Left to: -
Maxime Benrubi
High-Performance Vectorizable Graph Representations
Bachelor, 2022
Left to: -
Patrick Iff
Towards Next-Generation Massively Parallel On-Chip Networks
Master ETH, 2022
Left to: ETH Zurich
Dimitrios Lekkas
Low latency and memory efficient paging over RDMA
Master, 2022
Left to: -
Lukas Tobler
GPUless - Serverless GPU Functions
Master, 2022
Left to: -
Nicola Bernold
Towards Programmable and High-Performance Graph Neural Networks
Bachelor, 2022
Left to: -
Roman Böhringer
Serverless Invocations and Communication
Master, 2022
Left to: -
Henrik Laxhuber
Cache-Efficient Approximate Maximum Flow
Bachelor, 2021
Left to: -
Pascal Oberholzer
Accelerator-Aware Operating System Scheduling
Master, 2021
Left to: -
Colin Arnet
Benchmark Verification
Bachelor, 2021
Left to: -
Stefan Scholbe
Extending DaCe to support the Scalable Vector Extension for ARM processors
Bachelor, 2021
Left to: -
Tommaso Bonato
Analysis of the Adaptive Routing Algorithm in the Slingshot Interconnect
Master, 2021
Left to: -
Wei Qiu
Memory Deduplication
Master, 2021
Left to: -
Siméone Anne Elisabeth de Fremond de la Merveillere
Exploiting structured sparsity in transformers through Data Centric optimizations
Master, 2021
Left to: -
Konstantin Wohlwend
Scalable Visualization of Huge Parametric Graphssw
Bachelor, 2021
Left to: -
Thomas Baumann
High-performance multi-GPU scheduling and communication for data-centric applicationsw
Bachelor, 2021
Left to: -
Julien Schenkel
Improving the Generalization of Recurrent Graph Neural Networks on Compiler Dataflow
Bachelor, 2021
Left to: -
Tobias Rahn
Noise Estimation in HPC Cloud Networks
Bachelor, 2021
Left to: -
Loic Holbein
Congestion Benchmarking and Visualization of Large-Scale Interconnection Networks
Bachelor, 2021
Left to: -
Christoph Erdmann
Set-centric Graph Algorithmss
Bachelor, 2021
Left to: -
Severin Kistler
Network-accelerated Collective Operations
Master, 2021
Left to: -
Benjamin Simmonds
Data-Centric Debugging
Bachelor ETH, 2021
Left to: -
Raphael Grob
Motif Prediction with Graph Neural Networks
Master ETH, 2021
Left to: -
Ioana Stefan
NUMA-awareness for GMS
Master ETH, 2021
Left to: -
Roman Haag
One Sided-Enabled Indexes and Bulk Data Loading for Graph Databases
Master ETH, 2021
Left to: -
Jannis Widmer
Accelerating FPGA Applications in DaCe with High-Bandwidth Memory
Bachelor ETH, 2021
Left to: -
Thomas Leu
Scalable Hierarchical Graph Layouting
Master ETH, 2021
Left to: -
Patrick Gruntz
Running Graph Computations on sPIN
Master ETH, 2021
Left to: -
George Mtui
Pre-Training Transformers with PDE Generated Data for Medium-Range Weather Prediction
Master ETH, 2021
Left to: -
Benedikt Schech
Automatic Data-Centric Optimization with Reinforcement Learning
Bachelor ETH, 2021
Left to: -
Clemens Klopfstein
A benchmark suite to estimate potential performance of sPIN on switches
Bachelor ETH, 2021
Left to: -
Tobias Holenstein
Loop Parallelization with DaCe
Master ETH, 2021
Left to: -
Isman Emir
FaaStest collectives: reliable communication in serverless world
Bachelor ETH, 2021
Left to: -
Tobias Lüscher
Taint-Based Debugging
Bachelor ETH, 2021
Left to: -
Konrad Handrick
sPIN in serverless contexts
Bachelor ETH, 2021
Left to: -
Bernhard Walser
Weather Augment
Master ETH, 2021
Left to: -
Milos Malesevic
Erasure Coding (EC) NIC Offload in PsPIN
Master ETH, 2021
Left to: -
Lukas Ernst
Structured Attention Transformers on Weather Prediction
Master ETH, 2021
Left to: -
Aurel Feer
Taint-Based Debugging
Bachelor ETH, 2021
Left to: -
Luca Lavarini
To Fuse or not to Fuse: Case Studies and Automated Performance Modeling for Map Fusion in Stateful Dataflow Multigraphs
Master ETH, 2021
Left to: -
Maximilian Fries
Learning Ordering Heuristics for Combinatorial Optimization Problems
Bachelor ETH, 2021
Left to: -
Anton Schäfer
Machine Learning for Graph Partitioning
Bachelor ETH, 2021
Left to: -
Siegfried Hartogs
Code-driven Language Development: Framework for Analysis of C/C++ Open-Source Projects
Bachelor ETH, 2021
Left to: -
Oliver Rausch
DaCeML: a Data-centric Deep Learning Framework
Bachelor ETH, 2021
Left to: -
Adrian Balla
Analysis of Graph Mining Programming Models and Abstractions
Bachelor ETH, 2021
Left to: -
Max Eichenberger
Flexible data movement API for GPUs
Bachelor ETH, 2021
Left to: -
Jinfan Chen
Distributed Matrix Multiplication For Memory And Communication Efficient Deep Learning System
Bachelor ETH, 2021
Left to: -
Fabian Fischer
Know Your Memory: RDMA-based Protocols for Data Exchange
Master ETH, 2021
Left to: -
Lukas Kapp-Schwoerer
Set-Centric Subgraph Isomorphism
Bachelor ETH, 2021
Left to: -
Philipp Schaad
DaCe-VSCode: An Integrated Data-Centric Parallel Programming Experience
Master ETH, 2021
Left to: ETH Zurich
Lukas Gygi
CppBuild: Large-Scale, Automatic Build System for Open Source C++ Repositories
Bachelor ETH, 2021
Left to: -
Cliff Hodel
Reducing Communication in Linear Algebra Computations
Bachelor ETH, 2020
Left to: -
András Strausz
Scalable Triangle Counting and LCC
Bachelor ETH, 2021
Left to: -
Yannick Schaffner
Motif-Centric Graph Processing
Master ETH, 2021
Left to: -