SPCL Members

Head of the Lab
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.

Scientific Staff


Timo Schneider
M.S., Chemnitz University of Technology, Germany, 2011
Contact: timos at inf.ethz.ch / Office: CAB D 71

 

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 (e.g., graph neural networks, graph databases, graph streaming, graph algorithms) and interconnects at the Scalable Parallel Computing Lab at ETH Zurich. He is also a Group Associate at the ETH Future Computing Lab. He received his PhD from ETH Zurich in 2021. 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), the ETH Medal for outstanding doctoral thesis (2021), the IEEE TCSC Outstanding PhD Dissertation Award (2021), and the SPEC Kaivalya Dixit Distinguished Dissertation Award (2022). 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. He is also a Fellow of The Explorers Club (2022). More detailed information is here.



Postdocs


Tal Ben-Nun (ETH Zurich Postdoctoral Fellowship, SNF Ambizione)
PhD, Hebrew University of Jerusalem, Israel, October 2016
Contact: tbennun at inf.ethz.ch / Office: CAB E 73.2

 

Tal is a postdoctoral researcher with SPCL at ETH Zürich. Tal received his MSc and PhD from the Hebrew University of Jerusalem, where he researched runtime environments for GPU-based HPC clusters and programming abstractions for massively parallel architectures. His research interests include parallel and distributed programming models, massively parallel architectures, operating systems and nonlinear optimization.

Tiziano De Matteis
PhD, University of Pisa, Italy, October 2016
Contact: tiziano.dematteis at inf.ethz.ch Office: CAB E 77.2

 

Tiziano received his MSc and PhD from the University of Pisa. During his PhD, he investigated parallel and adaptive (autonomic) solutions for High Performance and Energy Aware Stream Processing applications. His research interests include parallel and distributed programming models, massively parallel architectures, operating systems and nonlinear optimization. My principal research interests are related to Parallel Computing with a particular focus in Parallel Data Stream Processing, High-Level Parallel Programming and Energy Awareness.

Shigang Li
PhD, University of Science and Technology Beijing, China, June 2014
Contact: shigang.li at inf.ethz.ch Office: CAB D 71

 

Shigang is a postdoctoral researcher in SPCL at ETH Zurich since Aug. 2018. He received his Bachelor in computer science and technology and PhD in computer architecture from the University of Science and Technology Beijing. From 2011 to 2013, he was a joint Ph.D student at University of Illinois at Urbana-Champaign (funded by CSC). During his PhD, he built the performance model and designed new algorithms for MPI collective communications. He also investigated high-performance sparse matrix operations and deep learning algorithms on massively parallel architectures. Before joining SPCL, he worked in Institute of Computing Technology, Chinese Academy of Sciences. His research interests focus on parallel and distributed computing, including parallel algorithms, parallel programming models, and parallel and distributed deep learning.

Nikoli Dryden (ETH Postdoctoral Fellowship)
PhD, University of Illinois at Urbana-Champaign, August, 2019
Contact: ndryden at ethz.ch Office: CAB D 71

 

Nikoli is an ETH Postdoctoral Fellow at ETH Zurich. He received his PhD in computer science from the University of Illinois at Urbana-Champaign for work on large-scale distributed training of deep neural networks. His research interests include distributed training of deep neural networks, machine learning for computational science, parallel algorithms and runtimes, graph analytics, and communication and performance optimization.

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.

Daniele De Sensi (ETH Postdoctoral Fellowship)
PhD, University of Pisa, Italy, April 2018
Contact: ddesensi at ethz.ch

 

Daniele received his MSc and PhD from the University of Pisa, Italy. His doctoral work focused on autonomic and power-aware runtime solutions for parallel applications. He has designed algorithms to enforce power consumption and performance requirements on parallel applications through dynamic reconfigurations, by exploiting online learning techniques. He is also interested in HPC interconnection networks, parallel programming models and parallel and distributed computing.

Kazuki Osawa (ETH Postdoctoral Fellowship)
PhD, Tokyo Institute of Technology, Japan, March 2021
Contact: kazuki.osawa at inf.ethz.ch / Office: CAB D 71

 

Kazuki is a postdoctoral researcher at ETH Zurich. He received his PhD in computer science from the Tokyo Institute of Technology, where he researched large-scale distributed parallel computation for second-order optimization and approximate Bayesian inference in training deep neural networks. His research interests include machine learning, mathematical optimization, Bayesian modeling, matrix approximations, and distributed parallel computing.

Salvatore Di Girolamo
M.S., Scuola Superiore Sant'Anna and Universita' di Pisa, Italy, 2014
Contact: salvatore.digirolamo at inf.ethz.ch / Office: CAB D 71

 

Salvatore holds an MSc in Computer Science and Networking (summa cum laude) from University of Pisa and Scuola Superiore Sant'Anna, Italy. His research interests include high-performance networking and communication offload for next-generation networks and RMA programming. He has won the best student paper award at HOTI'15.

Konstantin Taranov
M.S., Lappeenranta University of Technology, Lappeenranta, Finland, 2015
Contact: konstantin.taranov at inf.ethz.ch / Office: CAB F 72

 

Konstantin holds a Master of Science (summa cum laude) in Technomathematics and Computational Engineering from Lappeenranta University of Technology in Finland. He has also obtained a second Master's degree (summa cum laude) in Applied Mathematics and Computer Science from Southern Federal University in Russia. Currently, his main research topic is on fault resiliency of distributed systems and RDMA networks.



Ph.D. Students


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.

Niels Gleinig
M.S., ETH Zurich, Switzerland, 2017
Contact: niels.gleinig at inf.ethz.ch / Office: CAB D 71

 

Niels received his bachelors degree in mathematics from UAB Barcelona. During his masters in mathematics at ETH Zurich he focused on number theory and probability theory. His main research interests are IO-complexity, pebble games and sorting networks.

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 D 71

 

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.

Lukas Trümper
MSc, RWTH Aachen University, Germany, September 2020
Contact: lukashans.truemper at inf.ethz.ch / Office: CAB D 71

 

Lukas received his MSc in Computer Science from RWTH Aachen University, Germany. Before joining SPCL, he spent one year as a Machine Learning Engineer at Huddly AS in Oslo, Norway. His main research interests are applications of deep learning in performance modeling and performance optimization.

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.





Administration


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.



Visiting/External


Larissa Schmid
Visiting Researcher, MSc, Karlsruhe Institute of Technology, Germany, May 2020
Contact: larissa.schmid at inf.ethz.ch / Office: CAB D 71

 

Larissa received her Bachelor and Master degrees in Computer Science from Karlsruhe Institute of Technology. She is a PhD student at Karlsruhe Institute of Technology in the ”Modelling for Continuous Software Engineering” group, which is concerned with modelling software regarding different quality attributes. Her main research interests are performance modeling and analysis of scientific software.



Postdoc Alumni Gallery


Sabela Ramos Edgar Solomonik


Ph.D. Graduate Gallery


Tobias graduated in 2020, with his dissertation titled "Data Movement Optimization for High-Performance Computing". Bogdan graduated in 2020, with his dissertation titled "Workload and Interconnection Network Aware Performance Optimization". Greg graduated in 2022, with his dissertation titled "Performance Modeling and Optimal Schedules for Statically Analyzable Programs". Johannes graduated in 2022, with his dissertation titled "Productive FPGA Programming for High-Performance Computing".


Current Master/Bachelor Students


Thomas Rupf
Bachelor ETH
Working Title: Title of thesis: Automatic Inference of Stream Semantic Registers in LLVM
Andrea Lepori
Bachelor ETH
Working Title: Title of thesis: Practical data-centric optimization of C/C++ applications
Virgilio Strozzi
Bachelor ETH
Working Title: Title of thesis: A practical comparison of PsPIN with other Packets’ Processing Accelerators
Luca Kummer
Bachelor ETH
Working Title: Title of thesis: Benchmarking of DNN based post-processing methods of ensemble predictions
Alexander Hammett
Bachelor ETH
Working Title: Title of thesis: Robust Python Compilation with Data-Centric Parallel Programming
Václav Volhej
Master ETH
Working Title: Title of thesis: Accelerating Neural Audio Synthesis
Max Krähenmann
Bachelor ETH
Working Title: Title of thesis: Benchmarking of Flowcut Switching on the NS3 Simulator
Till Alexander Dubach
Bachelor ETH
Working Title: Title of thesis: Low-rank Kronecker-factored Approximate Curvature for Training Deep Neural Networks
Larin Brandner
Master ETH
Working Title: Title of thesis: Benchmarking serverless workflows
Rahul Steiger
Bachelor ETH
Working Title: Title of thesis: HPCG in DaCe
Yves Baumann
Bachelor ETH
Working Title: Title of thesis: Graph Algorithms for the Spatial Computer Model
Andra Ilies
Master ETH
Working Title: Radio DaCe
Zeno Simone Vintschger
Master ETH
Working Title: Using sPIN to accelerate distributed graph algorithms
Andrea Keusch
Bachelor ETH
Working Title: Accelerating Graph Neural Networks using SlimSell and Vectorization
Jacob Simon Walter
Bachelor ETH
Working Title: Data-centric GPU matrix-matrix multiplication: implementing cuCOSMA in DaCe


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)
  • 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
  • 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
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: -
Berke Artes
Extending MLIR to support SDFGs
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: -
Nils Blach
Layered Non-Minimal Routing for Low-Diameter Network Topologies on InfiniBand Architecture
Bachelor 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: -