Dear BlueBEAR users, We have taken feedback from our user base regarding the time it takes for GPU jobs to start and have made changes with the aim of getting your jobs to start quicker. The changes we have made are as below: Our reasoning in making these changes are: BEAR Portal is intended for … Continue reading “GPU and BEAR Portal changes”
Tag: HPC
April 2026 BEAR Newsletter
Birmingham Environment for Academic Research (BEAR) Newsletter April begins with the Easter break, bringing a welcome pause before an exciting new chapter for the Advanced Research Computing team. We are delighted to welcome a new Head, Dr Andrew Edmondson, to lead the team into its next phase. Alongside this, we’re also delighted to have two new Research Software Engineers joining … Continue reading “April 2026 BEAR Newsletter”
Research project: Exploring Julia for High-Performance Computing
This project was initiated and led by Dr Vincenzo Brachetta and carried out by PhD researcher Ritesh Moon at the University of Birmingham. Conducted between January and February 2026, it evaluated the performance and practical usability of Julia on BlueBEAR, the University’s institutional high-performance computing (HPC) platform. BlueBEAR supports multi-core CPU workloads, distributed execution across nodes, and GPU-accelerated computation, with … Continue reading “Research project: Exploring Julia for High-Performance Computing”
Understanding multi-agent learning through large-scale simulations
In this case study we hear from Tuo Zhang, a researcher working in Machine Learning, who has been using BlueBEAR to run large-scale simulations of multi-agent reinforcement learning (MARL) algorithms. His research focuses on understanding how learning agents behave when interacting with each other in complex and changing environments. In many real-world systems, decision-making is not performed … Continue reading “Understanding multi-agent learning through large-scale simulations”
Students’ journey from HPC newcomers to international competitors
Below we hear from the Beariables team in their own words about their experience going to Computing Insight UK and winning the national cluster challenge. Authors: Team Beariables – Harry Vicaradge, Jamie Cline, Ewan Hallatt, Sereya Mee, Adam Wilson and Arthur Baverstock In December, our team the Beariables🧸 attended the Computing Insight UK Conference, where … Continue reading “Students’ journey from HPC newcomers to international competitors”
From BEAR Challenge to research innovation: A student’s journey into HPC
We previously heard from several participants of BEAR Challenge 2025 how they had enjoyed attending the event and the skills they developed (see blog post here), with one team going onto win the national CIUK challenge. In this blog post, we hear from undergraduate student David Adesoye-Amoo on how the challenge helped him navigate a … Continue reading “From BEAR Challenge to research innovation: A student’s journey into HPC”
Modelling Birmingham’s Cultural Ecology and Urban Oral History Using BlueBEAR
In this case study, we hear from Jack (Wei-Chieh Tsai), a doctoral student from History of Art and Geography who examines how cultural intermediaries, including artists, curators, and cultural organisations, have contributed to urban development. My PhD research examines the role of artistic interventions in transforming post-industrial Birmingham between 1986 and 2016. The project examines how cultural … Continue reading “Modelling Birmingham’s Cultural Ecology and Urban Oral History Using BlueBEAR”
Binary classification of lung tissue immunofluorescence images by deep learning
In this case study we hear from Ellen Jenkins, a postdoctoral student from the Institute of Inflammation and Ageing. Ellen is looking into developing a deep learning model to automatically differentiate the tissue from the air space. There is an ongoing project in the respiratory research group (CMH, IIA) which utilises samples of human lung … Continue reading “Binary classification of lung tissue immunofluorescence images by deep learning”
We’re recruiting! Four new Grade 8 posts in Advanced Research Computing
Following the award of a multi-million‑pound UKRI grant to deliver the National Compute Resource (NCR) GPU‑accelerated system, Baskerville NCR, the University of Birmingham’s Advanced Research Computing (ARC) team is expanding. We are recruiting four new Grade 8 roles to help shape and support this ambitious national-scale project, offering the chance to work with cutting‑-edge‑ technology, … Continue reading “We’re recruiting! Four new Grade 8 posts in Advanced Research Computing”
Your chance to shape funding into national AI and HPC infrastructure
The Department for Science, Innovation and Technology (DSIT) are seeking members of the researcher community using AI to provide their expertise and experience to help shape the UK’s future AI compute infrastructure. Below is the letter inviting contributions: The survey should take around 20 minutes to complete and can be found via the link here: … Continue reading “Your chance to shape funding into national AI and HPC infrastructure”