Automatic complexity analysis of explicitly parallel programs. - Torsten Hoefler; Grzegorz Kwasniewski (SPAA, 2014)

Using Compiler Techniques to Improve Automatic Performance Modeling. - Arnamoy Bhattacharyya; Grzegorz Kwasniewski; Torsten Hoefler (PACT, 2015)

A PCIe congestion-aware performance model for densely populated accelerator servers. - Maxime Martinasso; Grzegorz Kwasniewski; Sadaf R. Alam; Thomas C. Schulthess; Torsten Hoefler (SC, 2016)

Extreme scale plasma turbulence simulations on top supercomputers worldwide. - William M. Tang; Bei Wang 002; Stéphane Ethier; Grzegorz Kwasniewski; Torsten Hoefler; Khaled Z. Ibrahim; Kamesh Madduri; Samuel Williams 001; Leonid Oliker; Carlos Rosales-Fernandez; Timothy J. Williams (SC, 2016)

Automatic Performance Modeling of HPC Applications. - Felix Wolf 001; Christian H. Bischof; Alexandru Calotoiu; Torsten Hoefler; Christian Iwainsky; Grzegorz Kwasniewski; Bernd Mohr; Sergei Shudler; Alexandre Strube; Andreas Vogel 001; Gabriel Wittum (Software for Exascale Computing, 2016)

Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication. - Grzegorz Kwasniewski; Marko Kabic; Maciej Besta; Joost VandeVondele; Raffaele Solcà; Torsten Hoefler (SC, 2019)

Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. - Johannes de Fine Licht; Grzegorz Kwasniewski; Torsten Hoefler (FPGA, 2020)

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. - Maciej Besta; Raghavendra Kanakagiri; Grzegorz Kwasniewski; Rachata Ausavarungnirun; Jakub Beránek; Konstantinos Kanellopoulos; Kacper Janda; Zur Vonarburg-Shmaria; Lukas Gianinazzi; Ioana Stefan; Juan Gómez-Luna; Jakub Golinowski; et al. (MICRO, 2021)

SeBS: a serverless benchmark suite for function-as-a-service computing. - Marcin Copik; Grzegorz Kwasniewski; Maciej Besta; Michal Podstawski; Torsten Hoefler (Middleware, 2021)

On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization. - Grzegorz Kwasniewski; Tal Ben-Nun; Alexandros Nikolaos Ziogas; Timo Schneider; Maciej Besta; Torsten Hoefler (PPoPP, 2021)

On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizations. - Grzegorz Kwasniewski; Marko Kabic; Tal Ben-Nun; Alexandros Nikolaos Ziogas; Jens Eirik Saethre; André Gaillard; Timo Schneider; Maciej Besta; Anton Kozhevnikov; Joost VandeVondele; Torsten Hoefler (SC, 2021)

Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. - Grzegorz Kwasniewski; Tal Ben-Nun; Lukas Gianinazzi; Alexandru Calotoiu; Timo Schneider; Alexandros Nikolaos Ziogas; Maciej Besta; Torsten Hoefler (SPAA, 2021)

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. - Maciej Besta; Zur Vonarburg-Shmaria; Yannick Schaffner; Leonardo Schwarz; Grzegorz Kwasniewski; Lukas Gianinazzi; Jakub Beránek; Kacper Janda; Tobias Holenstein; Sebastian Leisinger; Peter Tatkowski; Esref Özdemir; et al. (CoRR, 2021)

SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. - Maciej Besta; Raghavendra Kanakagiri; Grzegorz Kwasniewski; Rachata Ausavarungnirun; Jakub Beránek; Konstantinos Kanellopoulos; Kacper Janda; Zur Vonarburg-Shmaria; Lukas Gianinazzi; Ioana Stefan; Juan Gómez-Luna; Marcin Copik; et al. (CoRR, 2021)

GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. - Maciej Besta; Zur Vonarburg-Shmaria; Yannick Schaffner; Leonardo Schwarz; Grzegorz Kwasniewski; Lukas Gianinazzi; Jakub Beránek; Kacper Janda; Tobias Holenstein; Sebastian Leisinger; Peter Tatkowski; Esref Özdemir; et al. (Proc. VLDB Endow., 2021)

Performance modeling and optimal schedules for data oblivious programs. - Grzegorz Kwasniewski (2021)

Lifting C semantics for dataflow optimization. - Alexandru Calotoiu; Tal Ben-Nun; Grzegorz Kwasniewski; Johannes de Fine Licht; Timo Schneider; Philipp Schaad; Torsten Hoefler (ICS, 2022)

Motif Prediction with Graph Neural Networks. - Maciej Besta; Raphael Grob; Cesare Miglioli; Nicola Bernold; Grzegorz Kwasniewski; Gabriel Gjini; Raghavendra Kanakagiri; Saleh Ashkboos; Lukas Gianinazzi; Nikoli Dryden; Torsten Hoefler (KDD, 2022)

ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. - Maciej Besta; Cesare Miglioli; Paolo Sylos Labini; Jakub Tetek; Patrick Iff; Raghavendra Kanakagiri; Saleh Ashkboos; Kacper Janda; Michal Podstawski; Grzegorz Kwasniewski; Niels Gleinig; Flavio Vella; et al. (SC, 2022)

Deinsum: Practically I/O Optimal Multi-Linear Algebra. - Alexandros Nikolaos Ziogas; Grzegorz Kwasniewski; Tal Ben-Nun; Timo Schneider; Torsten Hoefler (SC, 2022)

Deinsum: Practically I/O Optimal Multilinear Algebra. - Alexandros Nikolaos Ziogas; Grzegorz Kwasniewski; Tal Ben-Nun; Timo Schneider; Torsten Hoefler (CoRR, 2022)

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. - Maciej Besta; Pawel Renc; Robert Gerstenberger; Paolo Sylos Labini; Alexandros Nikolaos Ziogas; Tiancheng Chen; Lukas Gianinazzi; Florian Scheidl; Kalman Szenes; Armon Carigiet; Patrick Iff; Grzegorz Kwasniewski; et al. (SC, 2023)

GNN Scaling 0.1 Software Artifact. - Maciej Besta; Pawel Renc; Robert Gerstenberger; Paolo Sylos Labini; Alexandros Nikolaos Ziogas; Tiancheng Chen; Lukas Gianinazzi; Florian Scheidl; Kalman Szenes; Armon Carigiet; Patrick Iff; Grzegorz Kwasniewski; et al. (Zenodo, 2023)

High Performance Unstructured SpMM Computation Using Tensor Cores. - Patrik Okanovic; Grzegorz Kwasniewski; Paolo Sylos Labini; Maciej Besta; Flavio Vella; Torsten Hoefler (SC, 2024)

Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts. - Maciej Besta; Florim Memedi; Zhenyu Zhang; Robert Gerstenberger; Nils Blach; Piotr Nyczyk; Marcin Copik; Grzegorz Kwasniewski; Jürgen Müller; Lukas Gianinazzi; Ales Kubicek; Hubert Niewiadomski; et al. (CoRR, 2024)

Reasoning Language Models: A Blueprint. - Maciej Besta; Julia Barth; Eric Schreiber; Ales Kubicek; Afonso Claudino Catarino; Robert Gerstenberger; Piotr Nyczyk; Patrick Iff; Yueling Li; Sam Houliston; Tomasz Sternal; Marcin Copik; et al. (CoRR, 2025)

Affordable AI Assistants with Knowledge Graph of Thoughts. - Maciej Besta; Lorenzo Paleari; Jia Hao Andrea Jiang; Robert Gerstenberger; You Wu; Patrick Iff; Ales Kubicek; Piotr Nyczyk; Diana Khimey; Jón Gunnar Hannesson; Grzegorz Kwasniewski; Marcin Copik; et al. (CoRR, 2025)

BLaST: High Performance Inference and Pretraining using BLock Sparse Transformers. - Patrik Okanovic; Sameer Deshmukh; Grzegorz Kwasniewski; Kentaro Katayama; Takumi Honda; Maciej Besta; Torsten Hoefler (CoRR, 2025)