University GPU Club: Thurs 2 May 2013
Software for GPUs inc. compiler/directives, maths libs & tools (debuggers and profilers)
14:00-15:15, Thursday 2 May
- Update from IT Services about compute/data facilities available to UoM researchers
- Mark Mawson, MACE, "Lessons learned from GTC 2013"
- Andy Porter, STFC, "Experiences with an ocean model on Intel Xeon Phi and Sandy Bridge"
- Prof Ser-huang Poon, MBS, "Some preliminary HPC finance experience on Intel Xeon Phi"
Question & answer session: Submit a question!
- Forthcoming activities
The GPU Club (c. 43 people present) endorsed the University looking at providing Intel Xeon Phi to further research. David Topping, Simon Brown, Ser-huang Poon and Ismail Adeniran volunteered to write a case. Michael Bane noted that Intel have agreed to provide hands-on Xeon Phi training for the Autumn - people indicated their interest and MB will organise. Please see the Xeon Phi community page for further information.
- The date and topic of the next GPU Club will be set by the community via email.
Mark Mawson, Lessons learned from GTC 2013
A summary of this year’s GPU Technology Conference from an attendee’s perspective; we will discuss upcoming GPU architecture changes, the move towards mobile and cloud based computing, and other highlights from the presentations and exhibitions at GTC 2013.
Andy Porter, Experiences with an ocean model on Intel Xeon Phi and Sandy Bridge
We look at the performance of the NEMO ocean model on these two recent offerings from Intel. The performance of a single OpenMP kernel taken from the code is examined in detail and the lessons learned from the work done to achieve scaling up to large numbers of threads are discussed.
Prof Ser-huang Poon, "Some preliminary HPC finance experience on Intel Xeon Phi
The project team, funded by two Marie Curie FP7 contracts, looks at the selection and the implementation of high-performance platforms in finance from the end-user’s point of view considering the advantages and disadvantages of competing HPC technologies. The team works on a number of financial applications important to the banking and insurance industry and produces comparative metrics from GPU and Xeon Phi.
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