# Mathematics

1,280 courses and talks.

- [Engineering a Scalable, FAIR Data Infrastructure for Resource-Efficient Research](https://invisiblenetwork.ai/learn/cern/3025557): Irufan Ahmed · CERN
- [Faster, Greener, Precise Enough: Challenges and Directions in GPU Auto-Tuning](https://invisiblenetwork.ai/learn/cern/3025561): Ben van Werkhoven · CERN
- [Mitigate. Innovate. Sustain.](https://invisiblenetwork.ai/learn/cern/3025559): Wilco Burggraaf · CERN
- [Sustainability-Aware Workload Shifting Beyond Carbon Intensity](https://invisiblenetwork.ai/learn/cern/3025566): Geerd-Dietger Hoffmann · CERN
- [Integrating sustainability in the design of the Wide-field Spectroscopic Telescope’s data processing and storage](https://invisiblenetwork.ai/learn/cern/3025560): Laurane Fréour · CERN
- [Lightning Talks](https://invisiblenetwork.ai/learn/cern/3025578): Adrian CIOCAN and others · CERN
- [Software Engineering and Sustainability: Experience Cultivating Better Systems](https://invisiblenetwork.ai/learn/cern/3025577): Michael Philip Sparks · CERN
- [Sustainable Computing in an Era of Rising Hardware Costs and Slowing Per-Core Progress](https://invisiblenetwork.ai/learn/cern/3025636): Ian Fisk · CERN
- [A quick overview of the physical and social science of the planetary crisis](https://invisiblenetwork.ai/learn/cern/3025653): Julia Steinberger · CERN
- [GreenDIGIT Tools for Environmental Sustainability in Digital Research Infrastructures: Assessment Methodology and Metrics Publication System](https://invisiblenetwork.ai/learn/cern/3025539): Damla Rowlandson, Shashikant Ilager and Iida Lehto · CERN
- [Green computing in neuroimaging research: Identifying strategies to reduce energy consumption, and training end users through roving workshops](https://invisiblenetwork.ai/learn/cern/3025555): Nicholas Souter · CERN
- [Scientific Computing Across Disciplines: A Student-Driven Evaluation of Institutional Computing Footprints and External Resource Usage](https://invisiblenetwork.ai/learn/cern/3025564): Jeroen Dobbelaere · CERN
- [Balancing accuracy and computational cost in computational chemistry](https://invisiblenetwork.ai/learn/cern/3025562): Jelle Vekeman · CERN
- [High Energy Physics, LHC and Computing for LHC \[Online\]](https://invisiblenetwork.ai/learn/cern/3025563): Caterina Doglioni · CERN
- [Welcome to SC4RC](https://invisiblenetwork.ai/learn/cern/3025565): Loic Lannelongue and Rakhi Mahbubani · CERN
- [Welcome to CERN](https://invisiblenetwork.ai/learn/cern/3025567): Simone Campana · CERN
- [Power Measurement Techniques for Research Computing](https://invisiblenetwork.ai/learn/cern/3025654): Jack Coker · CERN
- [Performance analysis and hardware acceleration of real software: the case of MadGraph (Lecture 1)](https://invisiblenetwork.ai/learn/cern/3023581): Daniele Massaro · CERN
- [Performance analysis and hardware acceleration of real software: the case of MadGraph (Lecture 2)](https://invisiblenetwork.ai/learn/cern/3023587): Daniele Massaro · CERN
- [Basic Mathematics and Units](https://invisiblenetwork.ai/learn/cern/3025945): Rende STEERENBERG · CERN
- [Towards unified full-stack performance analysis and automated computer system design with Adaptyst](https://invisiblenetwork.ai/learn/cern/3021019): Maksymilian Graczyk · CERN
- [Analysis Use Cases](https://invisiblenetwork.ai/learn/cern/3003900): CERN
- [Official commemoration of the start of the analysis of data from the LHC experiments using the Worldwide LHC Computing Grid](https://invisiblenetwork.ai/learn/cern/3006043): CERN
- [« Women in science, technology, engineering and maths (STEM). Where are we now and how can we move? » by Dr Jocelyn Bell Burnell](https://invisiblenetwork.ai/learn/cern/3022243): CERN
- [Stochastic Processes](https://invisiblenetwork.ai/learn/nptel/111102096): Prof. S Dharmaraja · IIT Delhi (1 lecture)
- [Introduction and goals of the workshop](https://invisiblenetwork.ai/learn/cern/3009424): Tommaso Dorigo · CERN
- [Artificial Intelligence for Theoretical Physics and Mathematics](https://invisiblenetwork.ai/learn/cern/3003828): Fabian Ruehle · CERN
- [Foundation of Statistics - 2/4](https://invisiblenetwork.ai/learn/cern/3017449): Glen Cowan · CERN
- [Astro-statistics](https://invisiblenetwork.ai/learn/cern/3015328): François Lanusse · CERN
- [SG8 Computing and Data Analysis at CERN](https://invisiblenetwork.ai/learn/cern/3023409): Veronica Micai Seratti Cristofoletti and others · CERN
- [Lightning Talks](https://invisiblenetwork.ai/learn/cern/3025635): Ana Catarina Gouveia Braz and others · CERN
- [Logistics](https://invisiblenetwork.ai/learn/cern/3025685): Markus Schulz · CERN