Productive Spatial Accelerator Programming

Información del proyecto

PSAP

Identificador del acuerdo de subvención: 101002047

DOI

10.3030/101002047

Fecha de la firma de la CE 5 Marzo 2021

Fecha de inicio 1 Enero 2022

Fecha de finalización 31 Diciembre 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 980 917,00

Aportación de la UE

€ 1 980 917,00

Coordinado por

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (28)

Low-Depth Spatial Tree Algorithms

Autores: Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
Publicado en: 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024
Editor: IEEE
DOI: 10.1109/ipdps57955.2024.00024

Network-Offloaded Bandwidth-Optimal Broadcast and Allgather for Distributed AI

Autores: Mikhail Khalilov, Salvatore Di Girolamo, Marcin Chrapek, Rami Nudelman, Gil Bloch, Torsten Hoefler
Publicado en: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, 2024, Página(s) 1-17
Editor: IEEE
DOI: 10.1109/sc41406.2024.00109

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations

Autores: Maciej Besta, Pawel Renc, Robert Gerstenberger, Paolo Sylos Labini, Alexandros Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, Patrick Iff, Grzegorz Kwasniewski, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jarosław Wąs, Flavio Vella, Torsten Hoefler
Publicado en: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2024, Página(s) 1-16
Editor: ACM
DOI: 10.1145/3581784.3607067

Productive Performance Engineering for Weather and Climate Modeling with Python

Autores: Ben-Nun, Tal; Groner, Linus; Deconinck, Florian; Wicky, Tobias; Davis, Eddie; Dahm, Johann; Elbert, Oliver D.; George, Rhea; McGibbon, Jeremy; Trümper, Lukas; Wu, Elynn; Fuhrer, Oliver; Schulthess, Thomas; Hoefler, Torsten
Publicado en: SC'22: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, Edición 1, 2022
Editor: SC
DOI: 10.1109/sc41404.2022.00078

Bridging Control-Centric and Data-Centric Optimization

Autores: Tal Ben-Nun; Berke Ates; Alexandru Calotoiu; Torsten Hoefler
Publicado en: 2023
Editor: 21st ACM/IEEE International Symposium on Code Generation and Optimization
DOI: 10.1145/3579990.3580018

VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores

Autores: Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler
Publicado en: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2024, Página(s) 1-14
Editor: ACM
DOI: 10.1145/3581784.3607087

User-guided Page Merging for Memory Deduplication in Serverless Systems

Autores: Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler
Publicado en: 2023 IEEE International Conference on Big Data (BigData), 2024, Página(s) 159-169
Editor: IEEE
DOI: 10.1109/bigdata59044.2023.10386487

HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement

Autores: Iff, Patrick; Besta, Maciej; Cavalcante, Matheus; Fischer, Tim; Benini, Luca; Hoefler, Torsten
Publicado en: Edición 1, 2023
Editor: 60th Annual Design Automation Conference
DOI: 10.48550/arxiv.2211.13989

HammingMesh: A Network Topology for Large-Scale Deep Learning

Autores: T. Hoefler, T. Bonato, D. De Sensi, S. Di Girolamo, S. Li, M. Heddes, J. Belk, D. Goel, M. Castro, S. Scott
Publicado en: 2022
Editor: International Conference for High Performance Computing, Networking, Storage and Analysis
DOI: 10.48550/arxiv.2209.01346

Sparse Hamming Graph: A Customizable Network-on-Chip Topology

Autores: P. Iff, M. Besta, M. Cavalcante, T. Fischer, L. Benini, T. Hoefler
Publicado en: 2023
Editor: 60th Annual Design Automation Conference
DOI: 10.48550/arxiv.2211.13980

KafkaDirect: Zero-copy Data Access for Apache Kafka over RDMA Networks

Autores: K. Taranov, S. Byan, V. Marathe, T. Hoefler
Publicado en: 2022
Editor: ACM SIGMOD International Conference on Management of Data
DOI: 10.1145/3514221.3526056

Performance-detective

Autores: Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Dominik Werle, Andreas Reiter, Michael Selzer, Anne Koziolek, Torsten Hoefler
Publicado en: Proceedings of the 36th ACM International Conference on Supercomputing, 2023, Página(s) 1-13
Editor: ACM
DOI: 10.1145/3524059.3532391

ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations

Autores: M. Besta, C. Miglioli, P. Sylos Labini, J. Tětek, P. Iff, R. Kanakagiri, S. Ashkboos, K. Janda, M. Podstawski, G. Kwasniewski, N. Gleinig, F. Vella, O. Mutlu, T. Hoefler
Publicado en: 2022
Editor: SC'22
DOI: 10.48550/arxiv.2208.11469

DiffDA: a Diffusion model for weather-scale Data Assimilation

Autores: Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Dueben, Torsten Hoefler
Publicado en: DiffDA, 2024
Editor: ICML

Boosting Performance Optimization with Interactive Data Movement Visualization

Autores: P. Schaad, T. Ben-Nun, T. Hoefler
Publicado en: 2022
Editor: SC'22
DOI: 10.1109/sc41404.2022.00069

STen: An Interface for Efficient Sparsity in PyTorch

Autores: A. Ivanov, N. Dryden, T. Hoefler
Publicado en: 2022
Editor: In Sparsity in Neural Networks workshop
DOI: 10.48550/arxiv.2304.07613

Process-as-a-Service: Unifying Elastic and Stateful Clouds with Serverless Processes

Autores: Marcin Copik, Alexandru Calotoiu, Gyorgy Rethy, Roman Böhringer, Rodrigo Bruno, Torsten Hoefler
Publicado en: Proceedings of the ACM Symposium on Cloud Computing, 2024, Página(s) 223-242
Editor: ACM
DOI: 10.1145/3698038.3698567

automatic deduction of cheap and accurate performance models

Autores: Larissa Schmid; Marcin Copik; Alexandru Calotoiu; Dominik Werle; Andreas Reiter; Michael Selzer; Anne Koziolek; Torsten Hoefler
Publicado en: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, Edición 1, 2022
Editor: ICS'22
DOI: 10.5445/ir/1000146623

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores

Autores: Maciej Besta, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Nils Blach, Berke Egeli, Georgy Mitenkov, Wojciech Chlapek, Marek Michalewicz, Hubert Niewiadomski, Juergen Mueller, Torsten Hoefler
Publicado en: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2024, Página(s) 1-18
Editor: ACM
DOI: 10.1145/3581784.3607068

Streaming Task Graph Scheduling for Dataflow Architectures

Autores: Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
Publicado en: Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2024, Página(s) 225-237
Editor: ACM
DOI: 10.1145/3588195.3592999

Deinsum: Practically I/O Optimal Multilinear Algebra

Autores: A. Nikolaos Ziogas, G. Kwasniewski, T. Ben-Nun, T. Schneider, T. Hoefler
Publicado en: 2022
Editor: SC'22
DOI: 10.48550/arxiv.2206.08301

Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching

Autores: Andras Strausz; Flavio Vella; Salvatore Di Girolamo; Maciej Besta; Torsten Hoefler
Publicado en: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Edición 2, 2022
Editor: IEEE
DOI: 10.48550/arxiv.2202.13976

A data-centric optimization framework for machine learning

Autores: Rausch, Oliver; Ben-Nun, Tal; Dryden, Nikoli; Ivanov, Andrei; Li, Shigang; Hoefler, Torsten
Publicado en: Proceedings of the 36th ACM International Conference on Supercomputing, Edición 7, 2022
Editor: ACM International Conference on Supercomputing
DOI: 10.48550/arxiv.2110.10802

Maximum Flows in Parametric Graph Templates

Autores: T. Ben-Nun, L. Gianinazzi, T. Hoefler, Y. Oltchik
Publicado en: 2023
Editor: In Algorithms and Complexity - 13th International Conference
DOI: 10.48550/arxiv.2307.08420

Near-Optimal Wafer-Scale Reduce

Autores: Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
Publicado en: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024, Página(s) 334-347
Editor: ACM
DOI: 10.1145/3625549.3658693

High Performance Unstructured SpMM Computation Using Tensor Cores

Autores: Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler
Publicado en: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, 2024, Página(s) 1-14
Editor: IEEE
DOI: 10.1109/sc41406.2024.00060

FMI: Fast and Cheap Message Passing for Serverless Functions

Autores: Marcin Copik, Roman Böhringer, Alexandru Calotoiu, Torsten Hoefler
Publicado en: Proceedings of the 37th International Conference on Supercomputing, 2023, Página(s) 373-385
Editor: ACM
DOI: 10.1145/3577193.3593718

Lifting C semantics for dataflow optimization

Autores: Alexandru Calotoiu; Tal Ben-Nun; Grzegorz Kwasniewski; Johannes de Fine Licht; Timo Schneider; Philipp Schaad; Torsten Hoefler
Publicado en: Proceedings of the 36th ACM International Conference on Supercomputing, Edición 1, 2022
Editor: 36th ACM International Conference on Supercomputing
DOI: 10.1145/3524059.3532389

Peer reviewed articles (3)

Deep learning and a changing economy in weather and climate prediction

Autores: Peter Bauer, Peter Dueben, Matthew Chantry, Francisco Doblas-Reyes, Torsten Hoefler, Amy McGovern, Bjorn Stevens
Publicado en: Nature Reviews Earth & Environment, Edición 4, 2023, Página(s) 507-509, ISSN 2662-138X
Editor: Springer Nature
DOI: 10.1038/s43017-023-00468-z

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Autores: Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 38, 2024, Página(s) 17682-17690, ISSN 2374-3468
Editor: AAAI Press
DOI: 10.1609/aaai.v38i16.29720

Influence of Network Performance Variability on Application Scalability

Autores: Daniele De Sensi; Tiziano De Matteis; Konstantin Taranov; Salvatore Di Girolamo; Tobias Rahn; Torsten Hoefler
Publicado en: Proceedings of the ACM on Measurement and Analysis of Computing Systems, 6 (3), Edición 1, 2022, ISSN 0000-0000
Editor: Proc. ACM Meas. Anal. Comput. Syst.. Vol 6, Nr. 3, Association for Computing Machinery, Dec. 2022)
DOI: 10.1145/3570609

Other (1)

FMI: Fast and Cheap Message Passing for Serverless Functions

Autores: M. Copik, R. Böhringer, A. Calotoiu, T. Hoefler
Publicado en: 2023
Editor: ICS
DOI: 10.48550/arxiv.2305.08763