Development of Lattice QCD Simulation Code Set “Bridge++” on Accelerators

Motoki, Shinji; Aoki, Sinya; Aoyama, T.; Kanaya, K.; Matsufuru, Hideo; Namekawa, Yusuke; Nemura, Hidekatsu; Taniguchi, Yoshiaki; Ueda, Satoru; Ukita, N.

doi:10.1016/j.procs.2014.05.155

Cited by 11 publications

(9 citation statements)

References 6 publications

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“…In the original Bridge++, hereafter called the Bridge++ core library, the data are in double precision and in a fixed data layout with array of structure (AoS). Following the strategy employed in [14], we extend Bridge++ to enable a flexible data layout and an arbitrary precision type. The key ingredients of our implementation are as follows: changing data layout, use of intrinsics, manual prefetching, assignment of the thread tasks.…”

Section: Methodsmentioning

confidence: 99%

Practical Implementation of Lattice QCD Simulation on SIMD Machines with Intel AVX-512

Kanamori

Matsufuru

2018

Computational Science and Its Applications – ICCSA 2018

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We investigate implementation of lattice Quantum Chromodynamics (QCD) code on the Intel AVX-512 architecture. The most time consuming part of the numerical simulations of lattice QCD is a solver of linear equation for a large sparse matrix that represents the strong interaction among quarks. To establish widely applicable prescriptions, we examine rather general methods for the SIMD architecture of AVX-512, such as using intrinsics and manual prefetching, for the matrix multiplication. Based on experience on the Oakforest-PACS system, a large scale cluster composed of Intel Xeon Phi Knights Landing, we discuss the performance tuning exploiting AVX-512 and code design on the SIMD architecture and massively parallel machines. We observe that the same code runs efficiently on an Intel Xeon Skylake-SP machine.

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Section: Methodsmentioning

confidence: 99%

Practical Implementation of Lattice QCD Simulation on SIMD Machines with Intel AVX-512

Kanamori

Matsufuru

2018

Computational Science and Its Applications – ICCSA 2018

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“…This is an update of the result reported in Ref. [10,11]. The run-time parameters for thread grouping are adjusted for each device.…”

Section: Performancementioning

confidence: 96%

“…Among available frameworks, OpenCL and OpenACC are attractive because of their portability. Application of OpenCL [7,8,9,10,11] and OpenACC [12,11] to lattice QCD have been started. We note these two frameworks have contrasting features: OpenCL uses explicit API-based controls of the device, while OpenACC is directive-based and a compiler generates procedures to use the device.…”

Section: Introductionmentioning

confidence: 99%

Lattice QCD code set Bridge++ on arithmetic accelerators

Motoki¹,

Aoki²,

Aoyama³

et al. 2016

Proceedings of the 33rd International Symposium on Lattice Field Theory — PoS(LATTICE 2015)

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“…An object oriented approach to lattice QCD simulations on accelerators has been under development for some time in Japan under the name Bridge++ [18][19] [20].…”

Section: Lattice Qcd On Gpusmentioning

confidence: 99%

Accelerating lattice QCD simulations with 2 flavors of staggered fermions on multiple GPUs using OpenACC—A first attempt

Gupta¹,

Majumdar²

2018

Computer Physics Communications

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We present the results of an effort to accelerate a Rational Hybrid Monte Carlo (RHMC) program for lattice quantum chromodynamics (QCD) simulation for 2 flavors of staggered fermions on multiple Kepler K20X GPUs distributed on different nodes of a Cray XC30. We do not use CUDA but adopt a higher level directive based programming approach using the OpenACC platform. The lattice QCD algorithm is known to be bandwidth bound; our timing results illustrate this clearly, and we discuss how this limits the parallelization gains. We achieve more than a factor three speed-up compared to the CPU only MPI program.

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Development of Lattice QCD Simulation Code Set “Bridge++” on Accelerators

Cited by 11 publications

References 6 publications

Practical Implementation of Lattice QCD Simulation on SIMD Machines with Intel AVX-512

Practical Implementation of Lattice QCD Simulation on SIMD Machines with Intel AVX-512

Lattice QCD code set Bridge++ on arithmetic accelerators

Accelerating lattice QCD simulations with 2 flavors of staggered fermions on multiple GPUs using OpenACC—A first attempt

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