00:00

00:00 / 00:00

Lunch bytes #5 Making GPU Programming More Portable

From Matthew Leach April 07, 2021

39 plays 0 comments You unliked the media.

lunchBytes #2 - Jupyter Notebooks - pros and cons

78 | duration 45 minutes 34 seconds

lunchBytes #2 - Jupyter Notebooks - pros and cons

From William Furnass October 07, 2020

Lunch bytes #6: Putting the R into Reproducible…

47 | duration 58 minutes 42 seconds

Lunch bytes #6: Putting the R into Reproducible…

Lunch bytes #6: Putting the R into Reproducible Research

From Fariba Yousefi May 12, 2021

Lunch bytes #8: Challenges in Deploying Machine…

37 | duration 1 hour 0 minutes

Lunch bytes #8: Challenges in Deploying Machine…

Lunch bytes #8: Challenges in Deploying Machine Learning

From Fariba Yousefi July 08, 2021

LunchBytes: High Performance Computing (HPC) at…

96 | duration 52 minutes 46 seconds

LunchBytes: High Performance Computing (HPC) at…

LunchBytes: High Performance Computing (HPC) at Sheffield and Beyond

From Peter Heywood February 23, 2022

LunchBytes - handy tools for git(s) (May 2022)

23 | duration 59 minutes 8 seconds

LunchBytes - handy tools for git(s) (May 2022)

From David Wilby May 20, 2022

Lunchbytes #4: Beyond Static Data Viz

30 | duration 56 minutes 44 seconds

Lunchbytes #4: Beyond Static Data Viz

From Gemma Ives February 03, 2021

LunchBytes: from eyes to apps

10 | duration 52 minutes 58 seconds

LunchBytes: from eyes to apps

From David Wilby October 20, 2022

The software and people behind academic research

36 | duration 1 hour 18 minutes

The software and people behind academic research

From Saul Cozens May 21, 2021

MATLAB LunchBytes

21 | duration 53 minutes 9 seconds

MATLAB LunchBytes

From Robert Turner October 18, 2021

LunchBytes - Workflow Managers

27 | duration 58 minutes 11 seconds

LunchBytes - Workflow Managers

From Robert Turner July 22, 2022

An event hosted by the Sheffield RSE team on 1st April 2021, featuring three short talks + Q&A about making GPU programming more portable:

PyFR: Facilitating Heterogeneous GPU Computing from a Homogeneous Codebase - Freddie Witherden, Assistant Professor at Texas A&M University, developer of PyFR, a CUDA accelerated python CFD library
GPU acceleration of Spiking Neural Networks - James Knight, Research Fellow in Computer Science at The University of Sussex, developer of PyNN/GeNN, a GPU enhanced Neuronal Network simulation environment
Portable performance on CPUs and GPUs without resorting to [redacted] - Tom Deakin, Senior Research Associate at Bristol University, researcher in understanding performance portability of massively parallel simulation codes

Tags: rselunchbytes

Appears In: LunchBytes talks

Comments
Related Media

Loading…

Lunch bytes #5 Making GPU Programming More Portable

Related Media