1 © 2014 The MathWorks, Inc. HPC with MATLAB Making parallel programming simple Jos Martin, Principal Architect, Parallel Computing Tools

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

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

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

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 Building and Using Clusters

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9 Thank You