Patrick Iff

According to our database, Patrick Iff authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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, Michal Podstawski, Torsten Hoefler

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

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, Patrick Iff, Marek Konieczny, Kartik Lakhotia, Ales Kubicek, Marcel Ferrari, Fabrizio Petrini, Torsten Hoefler

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Near-Optimal Wafer-Scale Reduce.

Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

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, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler

Dataset, June, 2023

RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures.

Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler

CoRR, 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, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2023

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

Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

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

Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

PolarFly: A Cost-Effective and Flexible Low-Diameter Topology.

Kartik Lakhotia, Maciej Besta, Laura Monroe, Kelly Isham, Patrick Iff, Torsten Hoefler, Fabrizio Petrini

Proceedings of the SC22: International Conference for High Performance Computing, 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, Onur Mutlu, Torsten Hoefler

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Neural Graph Databases.

Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler

Proceedings of the Learning on Graphs Conference, 2022