University GPU Club
Software for GPUs inc. compiler/directives, maths libs & tools (debuggers and profilers)
The GPU Club is an initiative to bring people together to share ideas and experiences in order to more effectively overcome any barriers to getting their research done. Since November 2010, the Club has set up a email list with 300 members, held over 15 meetings, ran a GPU Day with collaboration talks with key vendors, organized 2 sets of training, set up a SpecialInterestGroup, summarised GPU research at UoM and has successfully negotiated with vendors regarding training and hardware provision.
Graphics Processing Units (GPUs) are now established as an option for undertaking intensive computation tasks without having to buy expensive compute nodes with fast interconnects. Recently, other "many core" technologies, particularly the Xeon Phi from Intel and a resurgence in interest in FPGAs, have emerged.
The GPU Club brings together The University of Manchester staff and students to exchange best practice and real world examples on emerging technology.
And to address questions such as:
- Is this peak performance achievable for real life codes?
- What programming methods are best supported by these cards?
- How much effort is involved in porting?
NVIDIA's GPU or OpenCL? NVIDIA or AMD/ATi? GPU or XPhi? Or does it matter?
- Where can I get my hands on one to see if it is for me?
There is a lot of interest across all faculties on campus concerning GPUs. Many people are seriously considering their use for their future research. Several groups have already, or are in the process of, writing and running models on GPUs.
Join the Mailing List
For various reasons it has recently been decided that the university GPU Club Mailing List should be for UoM staff and students only. Any non-UoM email addresses have been removed from the Mailing List and will be used for occasional announcements.
We have a mailing list for UoM staff & students to share news and ask questions relating to GPUs. To join you need to log in to listserv and search for GPUCLUB (or click here), select the GPUCLUB email list then select Subscribe from the drop down list beneath and click on 'Submit Changes'. Full instructions are given at the bottom of the page.
For non-UoM email addresses, please contact <michael DOT bane AT manchester DOT ac DOT uk>.
GPU Club Meetings
25th Nov 2014: 1.30-3.30pm, 2.220 University Place
Tues 26 Nov 2013: 2-3pm, B8 George Begg. Christian Obrecht on GPU implementations of fluid dynamics simulations on regular meshes: some recent advances
Weds 13 Nov: 2pm, Univ Place. John Michalakes (NOAA) and Craig Davies (Maxeler Dataflow)
Weds 30 Oct: Intermediate CUDA training run by NVIDIA
Tues 29 Oct: 2pm, Univ Place, NVIDIA and Stephen Longshaw.
Weds 2 Oct 2013 - Large Scale Optimization and High Performance Computing for Asset Management, Daniel Egloff (QuantAlea)
Tuesday 23 July MathWorks (GPUs for MATLAB) and NVIDIA (GPUs & CUDA)
Thur 2 May 2013 Lessons from GTC and on using the Intel Xeon Phi
Mon 10 Dec 2012 Dataflow and MultiGPU SPH
Tues 25 Sept Seminar on implementing financial models on GPUs, FPGAs and in the Cloud
Mon 15 Oct: OpenCL training from UoM IT Services
Thurs 25 Oct: Hands-on "OpenACC" workshop run by Cray UK Ltd.
17 May 2012 Speakers on healthcare policy simulation in OpenCL, MHD algorithms in CUDA, Tridiagonal Solvers in CUDA
20 April 2012 Francois Bodin, CAPS: "Programming Heterogeneous Many-Cores using Directives" using HMPP
23 March 2012 Roko Grubisic, ARM: "Embedded Computer Graphics and ARM Mali GPUs"
02 March 2012 Speakers on profiling, sparse matrix algebra and atmospheric chemistry
09 Dec 2011 MPI and GPUs, directives-based programming, FPGA and GPU comparison, ideas for 2012
30 Sept 2011 GPU programming in FORTRAN, multiple GPUs, image reconstruction
15 July 2011 Jack Dongarra key note on Emerging Technologies
18 Mar 2011 OpenCL, debugging and profiling tools, porting C to CUDA, real time analysis
26 Nov 2010 biological MD, smoothed particle hydrodynamics, Monte Carlo financial models, Markov models
Please login and add your suggested topics and speakers for future meetings:
- Directives-based programming for GPUs
- Is GPU HPC?
- GPU-enabled computational libraries
- Comparison of GPU technologies for research codes
- MD/many-body interactions, including ACEMD and SPH
- comparison of OpenCL and NVIDIA's GPU implements
or email us <email@example.com> with your suggestions