Abstract
Lattice Quantum Chromodynamics (LQCD) is currently the only known model independent, non perturbative computational method for calculations in the theory of the strong interactions, and is of importance in studies of nuclear and high energy physics. LQCD codes use large fractions of supercomputing cycles worldwide and are often amongst the first to be ported to new high performance computing architectures. The recently released Intel Xeon Phi architecture from Intel Corporation features parallelism at the level of many x86-based cores, multiple threads per core, and vector processing units. In this contribution, we describe our experiences with optimizing a key LQCD kernel for the Xeon Phi architecture. On a single node, using single precision, our Dslash kernel sustains a performance of up to 320 GFLOPS, while our Conjugate Gradients solver sustains up to 237 GFLOPS. Furthermore we demonstrate a fully ’native’ multi-node LQCD implementation running entirely on KNC nodes with minimum involvement of the host CPU. Our multi-node implementation of the solver has been strong scaled to 3.9 TFLOPS on 32 KNCs.
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References
Hestenes, M.R., Stiefel, E.: Methods of Conjugate Gradients for Solving Linear Systems. Journal of Research of the National Bureau of Standards 49(6), 409–436 (1952)
Creutz, M.: Quarks, Gluons and Lattices. Cambridge Monographs on Mathematical Physics, 169 p. Univ. Pr., Cambridge (1983)
Wilson, K.G.: Quarks and Strings on a Lattice. In: Zichichi, A. (ed.) New Phenomena in Subnuclear Physics, p. 69. Plenum Press, New York (1975)
van der Vorst, H.A.: Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems. SIAM Journal on Scientific and Statistical Computing 13(2), 631–644 (1992)
Smelyanskiy, M., Vaidyanathan, K., Choi, J., Joó, B., Chhugani, J., Clark, M.A., Dubey, P.: High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach. In: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2011, pp. 69:1–69:11 (2011)
Clark, M.A., Babich, R., Barros, K., Brower, R.C., Rebbi, C.: Solving Lattice QCD systems of equations using mixed precision solvers on GPUs. Comput. Phys. Commun. 181, 1517–1528 (2010)
OpenMP Architecture Review Board: OpenMP Application Program Interface (2011)
Nguyen, A.D., Satish, N., Chhugani, J., Kim, C., Dubey, P.: 3.5-D blocking optimization for stencil computations on modern CPUs and GPUs. In: SC, pp. 1–13 (2010)
Babich, R., Clark, M.A., Joó, B.: Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics. In: Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010, pp. 1–11 (2010)
Boyle, P.A.: The BlueGene/Q supercomputer. PoS LATTICE 2012, 020 (2012)
MPI: A Message-Passing Interface Standard (March 1994)
Joó, B.: SciDAC-2 software infrastructure for lattice QCD. Journal of Physics: Conference Series 78(1), 012034 (2007)
Pakin, S., Lang, M., Kerbyson, D.J.: The reverse-acceleration model for programming petascale hybrid systems. IBM Journal of Research and Development 53(5), 8:1–8:15 (2009)
Heinecke, A., et al.: Design and Implementation of the Linpack Benchmark for Single and Multi-Node Systems Based on Intel(R) Xeon Phi(TM) Coprocessor. In: Proceedings of IPDPS Conference (2013)
Strzodka, R., Göddeke, D.: Pipelined mixed precision algorithms on FPGAs for fast and accurate PDE solvers from low precision components. In: IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2006), pp. 259–268 (April 2006)
Doi, J.: Peta-scale lattice quantum chromodynamics on a blue gene/Q supercomputer. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2012, pp. 1–45. IEEE Computer Society Press, Los Alamitos (2012)
Alexandru, A., Lujan, M., Pelissier, C., Gamari, B., Lee, F.X.: Efficient implementation of the overlap operator on multi-GPUs (2011)
Kowalski, A., Shen, X.: Implementing the Dslash Operator in OpenCL. College of William and Mary Technical Report (2010)
Bach, M., Lindenstruth, V., Philipsen, O., Pinke, C.: Lattice QCD based on OpenCL (2012)
Clark, M.A., Babich, R.: High-efficiency lattice QCD computations on the fermi architecture. In: Innovative Parallel Computing (InPar), pp. 1–9 (May 2012)
Chen, D., et al.: QCDSP machines: design, performance and cost. In: Proceedings of the 1998 ACM/IEEE Conference on Supercomputing (CDROM), Supercomputing 1998, pp. 1–6. IEEE Computer Society, Washington, DC (1998)
Vranas, P., et al.: The BlueGene/L supercomputer and quantum ChromoDynamics. In: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC 2006. ACM, New York (2006)
Boyle, P.A.: The BAGEL assembler generation library. Computer Physics Communications 180(12), 2739–2748 (2009) 40 YEARS OF CPC: A celebratory issue focused on quality software for high performance, grid and novel computing architectures
Pochinsky, A.: Writing efficient QCD code made simpler: QA(0). PoS LATTICE 2008, 040 (2008)
Chen, J., Watson, W., Mao, W.: GMH: A Message Passing Toolkit for GPU Clusters. In: 2010 IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS), pp. 35–42 (December 2010)
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Joó, B. et al. (2013). Lattice QCD on Intel® Xeon PhiTM Coprocessors. In: Kunkel, J.M., Ludwig, T., Meuer, H.W. (eds) Supercomputing. ISC 2013. Lecture Notes in Computer Science, vol 7905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38750-0_4
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DOI: https://doi.org/10.1007/978-3-642-38750-0_4
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