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Three dimensional particle-in-cell laser-plasma simulation is an importantarea of computational physics. Solving state-of-the-art problems requireslarge-scale simulation on a supercomputer using specialized codes. A growingdemand in computational resources inspires research in improving efficiency andco-design for supercomputers based on many-core architectures. This paperpresents first performance results of the particle-in-cell plasma simulationcode PICADOR on the recently introduced Knights Landing generation of IntelXeon Phi. A straightforward rebuilding of the code yields a 2.43 x speedupcompared to the previous Knights Corner generation. Further code optimizationresults in an additional 1.89 x speedup. The optimization performed isbeneficial not only for Knights Landing, but also for high-end CPUs and KnightsCorner. The optimized version achieves 100 GFLOPS double precision performanceon a Knights Landing device with the speedups of 2.35 x compared to a 14-coreHaswell CPU and 3.47 x compared to a 61-core Knights Corner Xeon Phi.

Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing