1. 1 © 2014 The MathWorks, Inc. HPC with MATLAB Making parallel programming simple Jos Martin, Principal Architect, Parallel Computing Tools jos.martin@mathworks.co.uk

2. 2 Attributes of MATLAB 1. Mathematically correct 2. Usable 3. Bug-free 4. Fast

3. 3 Some Benchmarks HPLFFTEP-Stream Score (Lower is better) 366 Implementation o = A\b;o = fft(v);o = a.*b + c;

4. 4 Science (even in HPC) is about the Maths  Don’t make it hard to program –Make expressing parallelism easy – parfor, distributed arrays, spmd, gpuArray, batch  Make it easy to try out –Local cluster with Parallel Computing Toolbox –Scale out to cluster with no code changes

5. 5 “Simple to use” vs. “Lots of control” Level of ControlCPU ParallelGPU Simplebuilt-in to toolboxes gpuArray, associated maths Intermediate parfor, distributed arrays, batch arrayfun(@fun, …) Detailed spmd, jobs and tasks direct integration with CUDA kernels

6. 6 Our Users  Design and tuning of the control system for the International Linear Collider –Queen Mary College, London  Neural Network Design for Matching Heart Transplant Donors with Recipients –Lund University, Sweden  Tomographic Reconstruction of Protein Structure –Max Planck Institute of Biochemistry, Germany

7. 7 Building and Using Clusters

8. 8

9. 9 Thank You