A Data-Centric Optimization Framework for Machine Learning

v1v2v3 (latest)

A Data-Centric Optimization Framework for Machine Learning

20 October 2021

Torsten Hoefler

ArXiv (abs)PDF HTML

Papers citing "A Data-Centric Optimization Framework for Machine Learning"

6 / 6 papers shown

Title
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 GNN 68 3 0 23 Aug 2023
Streaming Task Graph Scheduling for Dataflow Architectures T. De Matteis Lukas Gianinazzi Johannes de Fine Licht Torsten Hoefler GNN 28 3 0 05 Jun 2023
Bridging Control-Centric and Data-Centric Optimization Tal Ben-Nun Berke Ates A. Calotoiu Torsten Hoefler 90 7 0 01 Jun 2023
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science Maksim Levental A. Khan Kyle Chard Kazutomo Yoshi Ryan Chard Ian Foster 24 4 0 13 Feb 2023
Python FPGA Programming with Data-Centric Multi-Level Design Johannes de Fine Licht T. De Matteis Tal Ben-Nun Andreas Kuster Oliver Rausch Manuel Burger Carl-Johannes Johnsen Torsten Hoefler 92 1 0 28 Dec 2022
Productive Performance Engineering for Weather and Climate Modeling with Python Tal Ben-Nun Linus Groner Florian Deconinck Tobias Wicky Eddie Davis ... Lukas Trumper E. Wu O. Fuhrer T. Schulthess Torsten Hoefler 55 17 0 09 May 2022