Parallel computing | The Alan Turing Institute

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AI UK

Tuesday 21 Mar 2023 - Wednesday 22 Mar 2023

Time: 09:30 - 17:00

AI UK

The Turing Lectures

A series of inspiring talks by leading figures in data science and AI

The Turing Lectures

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The Institute's podcast for discussions on all things data science, AI and machine learning

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Equality, diversity and inclusion

To make great leaps in research, we need to better reflect the diverse nature of the world

Equality, diversity and inclusion

Research projects

Simulating energy efficiency opportunities for households

Developing synthetic housing microsimulation tools for local authorities to explore inequalities in energy efficiency and target homes in need of retrofit and fuel poverty support

Simulating energy efficiency opportunities for households

Research publications and software

Trustworthy Assurance of Digital Mental Healthcare

There is a culture of distrust surrounding the development and use of digital mental...

Citation information

PDF: Burr, C. and Powell, R...

Trustworthy Assurance of Digital Mental Healthcare

Research spotlight

Premdeep Gill

Enrichment student Premdeep Gill is studying Antarctic seals and their sea ice habitats through satellite data, to better understand how they are coping with climate change

Premdeep Gill

Research spotlight

Erin Young

As co-lead of the Turing’s Women in Data Science and AI project, Research Fellow Erin Young’s vital research maps the gendered career trajectories in data science and AI

Erin Young

Enrichment scheme

Applications have now closed

Enrichment scheme

Event

Turing TIN Data Study Group – February 2023

Monday 13 Feb 2023 - Friday 03 Mar 2023

Time: 09:00 - 17:00

Turing TIN Data Study Group – February 2023

Data Study Groups

Events bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges

Data Study Groups

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Turing researchers taking part in press interviews

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Find out more about the expert commentary the Turing can provide

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Towards Comprehensive Dependability-Driven Resource Use and Message Log-Analysis for HPC Systems Diagnosis

E. Chuah, A. Jhumka, S. Alt, D.B-Thomert, J.C. Browne, M. Parashar, "Towards Comprehensive Dependability-Driven Resource Use and Message Log-Analysis for HPC Systems Diagnosis", Journal of Parallel and Distributed Computing (JPDC), Elsevier, 2019.

Using Message Logs and Resource Use Data for Cluster Failure Diagnosis

Failure diagnosis for large compute clusters using only message logs is known to be...

E. Chuah, A. Jhumka, J. C. Browne, N. Gurumdimma, S. Narasimhamurthy and B. Barth, "Using Message Logs and Resource Use Data for Cluster Failure Diagnosis," 2016 IEEE 23rd International Conference on High Performance Computing (HiPC), Hyderabad, 2016, pp. 232-241. doi: 10.1109/HiPC.2016.035

Sparse communication for distributed gradient descent

We make distributed stochastic gradient descent faster by exchanging sparse updates instead of dense...

Aji, A & Heafield, K 2017, Sparse Communication for Distributed Gradient Descent. in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). Association for Computational Linguistics (ACL), pp. 440-445, EMNLP 2017: Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, 7-11 September.