Fault tolerance for remote memory access programming models. - Maciej Besta; Torsten Hoefler (HPDC, 2014)

Slim Fly: A Cost Effective Low-Diameter Network Topology. - Maciej Besta; Torsten Hoefler (SC, 2014)

Enabling highly-scalable remote memory access programming with MPI-3 One Sided. - Robert Gerstenberger; Maciej Besta; Torsten Hoefler (Sci. Program., 2014)

Evaluating the Cost of Atomic Operations on Modern Architectures. - Hermann Schweizer; Maciej Besta; Torsten Hoefler (PACT, 2015)

Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages. - Maciej Besta; Torsten Hoefler (HPDC, 2015)

Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations. - Maciej Besta; Torsten Hoefler (ICS, 2015)

High-Performance Distributed RMA Locks. - Patrick Schmid; Maciej Besta; Torsten Hoefler (HPDC, 2016)

Betweenness Centrality is more Parallelizable than Dense Matrix Multiplication. - Edgar Solomonik; Maciej Besta; Flavio Vella; Torsten Hoefler (CoRR, 2016)

To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations. - Maciej Besta; Michal Podstawski; Linus Groner; Edgar Solomonik; Torsten Hoefler (HPDC, 2017)

SlimSell: A Vectorizable Graph Representation for Breadth-First Search. - Maciej Besta; Florian Marending; Edgar Solomonik; Torsten Hoefler (IPDPS, 2017)

Scaling betweenness centrality using communication-efficient sparse matrix multiplication. - Edgar Solomonik; Maciej Besta; Flavio Vella; Torsten Hoefler (SC, 2017)

Log(graph): a near-optimal high-performance graph representation. - Maciej Besta; Dimitri Stanojevic; Tijana Zivic; Jagpreet Singh; Maurice Hoerold; Torsten Hoefler (PACT, 2018)

Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability. - Maciej Besta; Syed Minhaj Hassan; Sudhakar Yalamanchili; Rachata Ausavarungnirun; Onur Mutlu; Torsten Hoefler (ASPLOS, 2018)

Communication-avoiding parallel minimum cuts and connected components. - Lukas Gianinazzi; Pavel Kalvoda; Alessandro De Palma; Maciej Besta; Torsten Hoefler (PPoPP, 2018)

Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations. - Maciej Besta; Torsten Hoefler (CoRR, 2018)

Substream-Centric Maximum Matchings on FPGA. - Maciej Besta; Marc Fischer; Tal Ben-Nun; Johannes de Fine Licht; Torsten Hoefler (FPGA, 2019)

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. - Tal Ben-Nun; Maciej Besta; Simon Huber; Alexandros Nikolaos Ziogas; Daniel Peter; Torsten Hoefler (IPDPS, 2019)

Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics. - Maciej Besta; Simon Weber 001; Lukas Gianinazzi; Robert Gerstenberger; Andrey Ivanov 002; Yishai Oltchik; Torsten Hoefler (SC, 2019)

Network-accelerated non-contiguous memory transfers. - Salvatore Di Girolamo; Konstantin Taranov; Andreas Kurth; Michael Schaffner; Timo Schneider; Jakub Beránek; Maciej Besta; Luca Benini; Duncan Roweth; Torsten Hoefler (SC, 2019)

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

Graph Processing on FPGAs: Taxonomy, Survey, Challenges. - Maciej Besta; Dimitri Stanojevic; Johannes de Fine Licht; Tal Ben-Nun; Torsten Hoefler (CoRR, 2019)

FatPaths: Routing in Supercomputers, Data Centers, and Clouds with Low-Diameter Networks when Shortest Paths Fall Short. - Maciej Besta; Marcel Schneider; Karolina Cynk; Marek Konieczny; Erik Henriksson; Salvatore Di Girolamo; Ankit Singla; Torsten Hoefler (CoRR, 2019)

Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism. - Maciej Besta; Marc Fischer; Vasiliki Kalavri; Michael Kapralov; Torsten Hoefler (CoRR, 2019)

Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. - Maciej Besta; Raghavendra Kanakagiri; Harun Mustafa; Mikhail Karasikov; Gunnar Rätsch; Torsten Hoefler; Edgar Solomonik (IPDPS, 2020)

High-performance parallel graph coloring with strong guarantees on work, depth, and quality. - Maciej Besta; Armon Carigiet; Kacper Janda; Zur Vonarburg-Shmaria; Lukas Gianinazzi; Torsten Hoefler (SC, 2020)

FatPaths: routing in supercomputers and data centers when shortest paths fall short. - Maciej Besta; Marcel Schneider; Marek Konieczny; Karolina Cynk; Erik Henriksson; Salvatore Di Girolamo; Ankit Singla; Torsten Hoefler (SC, 2020)

High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers. - Maciej Besta; Jens Domke; Marcel Schneider; Marek Konieczny; Salvatore Di Girolamo; Timo Schneider; Ankit Singla; Torsten Hoefler (CoRR, 2020)

Substream-Centric Maximum Matchings on FPGA. - Maciej Besta; Marc Fischer; Tal Ben-Nun; Dimitri Stanojevic; Johannes de Fine Licht; Torsten Hoefler (ACM Trans. Reconfigurable Technol. Syst., 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)

Parallel Algorithms for Finding Large Cliques in Sparse Graphs. - Lukas Gianinazzi; Maciej Besta; Yannick Schaffner; Torsten Hoefler (SPAA, 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)

The future is big graphs: a community view on graph processing systems. - Sherif Sakr; Angela Bonifati; Hannes Voigt; Alexandru Iosup; Khaled Ammar; Renzo Angles; Walid G. Aref; Marcelo Arenas; Maciej Besta; Peter A. Boncz; Khuzaima Daudjee; Emanuele Della Valle; et al. (Commun. ACM, 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)

Towards Million-Server Network Simulations on Just a Laptop. - Maciej Besta; Marcel Schneider; Salvatore Di Girolamo; Ankit Singla; Torsten Hoefler (CoRR, 2021)

Learning Combinatorial Node Labeling Algorithms. - Lukas Gianinazzi; Maximilian Fries; Nikoli Dryden; Tal Ben-Nun; Maciej Besta; Torsten Hoefler (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)

High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks. - Maciej Besta; Jens Domke; Marcel Schneider; Marek Konieczny; Salvatore Di Girolamo; Timo Schneider; Ankit Singla; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2021)

Transformations of High-Level Synthesis Codes for High-Performance Computing. - Johannes de Fine Licht; Maciej Besta; Simon Meierhans; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2021)

Enabling High-Performance Large-Scale Irregular Computations. - Maciej Besta (2021)

I/O-Optimal Cache-Oblivious Sparse Matrix-Sparse Matrix Multiplication. - Niels Gleinig; Maciej Besta; Torsten Hoefler (IPDPS, 2022)

Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. - András Strausz; Flavio Vella; Salvatore Di Girolamo; Maciej Besta; Torsten Hoefler (IPDPS, 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)

Neural Graph Databases. - Maciej Besta; Patrick Iff; Florian Scheidl; Kazuki Osawa; Nikoli Dryden; Michal Podstawski; Tiancheng Chen; Torsten Hoefler (LoG, 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)

Building Blocks for Network-Accelerated Distributed File Systems. - Salvatore Di Girolamo; Daniele De Sensi; Konstantin Taranov; Milos Malesevic; Maciej Besta; Timo Schneider; Severin Kistler; Torsten Hoefler (SC, 2022)

PolarFly: A Cost-Effective and Flexible Low-Diameter Topology. - Kartik Lakhotia; Maciej Besta; Laura Monroe; Kelly Isham; Patrick Iff; Torsten Hoefler; Fabrizio Petrini (SC, 2022)

Sparse Hamming Graph: A Customizable Network-on-Chip Topology. - Patrick Iff; Maciej Besta; Matheus A. Cavalcante; Tim Fischer 001; Luca Benini; Torsten Hoefler (DAC, 2023)

HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. - Patrick Iff; Maciej Besta; Matheus A. Cavalcante; Tim Fischer 001; Luca Benini; Torsten Hoefler (DAC, 2023)

HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers. - Maciej Besta; Afonso Claudino Catarino; Lukas Gianinazzi; Nils Blach; Piotr Nyczyk; Hubert Niewiadomski; Torsten Hoefler (LoG, 2023)

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores. - Maciej Besta; Robert Gerstenberger; Marc Fischer; Michal Podstawski; Nils Blach; Berke Egeli; George Mitenkov; Wojciech Chlapek; Marek T. Michalewicz; Hubert Niewiadomski; Jürgen Müller; Torsten Hoefler (SC, 2023)

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)

In-network Allreduce with Multiple Spanning Trees on PolarFly. - Kartik Lakhotia; Kelly Isham; Laura Monroe; Maciej Besta; Torsten Hoefler; Fabrizio Petrini (SPAA, 2023)

PolarStar: Expanding the Scalability Horizon of Diameter-3 Networks. - Kartik Lakhotia; Laura Monroe; Kelly Isham; Maciej Besta; Nils Blach; Torsten Hoefler; Fabrizio Petrini (CoRR, 2023)

High-Performance Graph Databases That Are Portable, Programmable, and Scale to Hundreds of Thousands of Cores. - Maciej Besta; Robert Gerstenberger; Marc Fischer; Michal Podstawski; Jürgen Müller; Nils Blach; Berke Egeli; George Mitenkov; Wojciech Chlapek; Marek T. Michalewicz; Torsten Hoefler (CoRR, 2023)

Cached Operator Reordering: A Unified View for Fast GNN Training. - Julia Bazinska; Andrei Ivanov; Tal Ben-Nun; Nikoli Dryden; Maciej Besta; Siyuan Shen; Torsten Hoefler (CoRR, 2023)

RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures. - Patrick Iff; Benigna Bruggmann; Maciej Besta; Luca Benini; Torsten Hoefler (CoRR, 2023)

Arrow Matrix Decompositions. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Piotr Luczynski; Saleh Ashkboosh; Langwen Huang; Florian Scheidl; Chio Ge; Armon Carigiet; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (Zenodo, 2023)

GDI-RMA 0.1 Software Artifact. - Maciej Besta; Robert Gerstenberger; Marc Fischer; Michal Podstawski; Jürgen Müller; Nils Blach; Berke Egeli; George Mitenkov; Marek T. Michalewicz; Torsten Hoefler (Zenodo, 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)

Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. - Maciej Besta; Marc Fischer; Vasiliki Kalavri; Michael Kapralov; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2023)

Graph of Thoughts: Solving Elaborate Problems with Large Language Models. - Maciej Besta; Nils Blach; Ales Kubicek; Robert Gerstenberger; Michal Podstawski; Lukas Gianinazzi; Joanna Gajda; Tomasz Lehmann; Hubert Niewiadomski; Piotr Nyczyk; Torsten Hoefler (AAAI, 2024)

Low-Depth Spatial Tree Algorithms. - Yves Baumann; Tal Ben-Nun; Maciej Besta; Lukas Gianinazzi; Torsten Hoefler; Piotr Luczynski (IPDPS, 2024)

A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. - Nils Blach; Maciej Besta; Daniele De Sensi; Jens Domke; Hussein Harake; Shigang Li 002; Patrick Iff; Marek Konieczny; Kartik Lakhotia; Ales Kubicek; Marcel Ferrari; Fabrizio Petrini; et al. (NSDI, 2024)

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Langwen Huang; Piotr Luczynski; Saleh Ashkboosh; Florian Scheidl; Armon Carigiet; Chio Ge; Nabil Abubaker; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (PPoPP, 2024)

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

PolarStar: Expanding the Horizon of Diameter-3 Networks. - Kartik Lakhotia; Laura Monroe; Kelly Isham; Maciej Besta; Nils Blach; Torsten Hoefler; Fabrizio Petrini (SPAA, 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)

CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks. - Maciej Besta; Lorenzo Paleari; Ales Kubicek; Piotr Nyczyk; Robert Gerstenberger; Patrick Iff; Tomasz Lehmann; Hubert Niewiadomski; Torsten Hoefler (CoRR, 2024)

Multi-Head RAG: Solving Multi-Aspect Problems with LLMs. - Maciej Besta; Ales Kubicek; Roman Niggli; Robert Gerstenberger; Lucas Weitzendorf; Mingyuan Chi; Patrick Iff; Joanna Gajda; Piotr Nyczyk; Jürgen Müller; Hubert Niewiadomski; Marcin Chrapek; et al. (CoRR, 2024)

Demystifying Higher-Order Graph Neural Networks. - Maciej Besta; Florian Scheidl; Lukas Gianinazzi; Shachar Klaiman; Jürgen Müller; Torsten Hoefler (CoRR, 2024)

Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments. - Maciej Besta; Robert Gerstenberger; Patrick Iff; Pournima Sonawane; Juan Gómez-Luna; Raghavendra Kanakagiri; Rui Min; Onur Mutlu; Torsten Hoefler; Raja Appuswamy; Aidan O'Mahony (CoRR, 2024)

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. - Maciej Besta; Robert Gerstenberger; Emanuel Peter; Marc Fischer; Michal Podstawski; Claude Barthels; Gustavo Alonso; Torsten Hoefler (ACM Comput. Surv., 2024)

Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis. - Maciej Besta; Torsten Hoefler (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

RapidChiplet: A Toolchain for Rapid Design Space Exploration of Inter-Chiplet Interconnects. - Patrick Iff; Benigna Bruggmann; Blaise Morel; Maciej Besta; Luca Benini; Torsten Hoefler (CF, 2025)

Energy-Optimal and Low-Depth Algorithmic Primitives for Spatial Dataflow Architectures. - Lukas Gianinazzi; Tal Ben-Nun; Maciej Besta; Saleh Ashkboos; Yves Baumann; Piotr Luczynski; Torsten Hoefler (IPDPS, 2025)

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)

PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies. - Patrick Iff; Benigna Bruggmann; Maciej Besta; Luca Benini; Torsten Hoefler (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)

FoldedHexaTorus: An Inter-Chiplet Interconnect Topology for Chiplet-based Systems using Organic and Glass Substrates. - Patrick Iff; Maciej Besta; Torsten Hoefler (CoRR, 2025)

Higher-Order Graph Databases. - Maciej Besta; Shriram Chandran; Jakub Cudak; Patrick Iff; Marcin Copik; Robert Gerstenberger; Tomasz Szydlo; Jürgen Müller; Torsten Hoefler (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)

Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors. - Patrick Iff; Paul Bruegger; Marcin Chrapek; Maciej Besta; Torsten Hoefler (CoRR, 2025)