Compatibility comparison and performance evaluation for Japanese HPF compilers using scientific applications

Sakagami, Hiroyuki; Mizuno, Takao

doi:10.1002/cpe.644

Cited by 5 publications

(5 citation statements)

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“…Communications required for IMPACT-3D is SHIFT-type communications and reductions. HPF/ES succeeded in generating optimized communications for them and eliminating all the redundant data transfers [10]. It performed message coalescing optimization for all the possible opportunities.…”

Section: Automatic Communicationsmentioning

confidence: 99%

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14.9 TFLOPS Three-Dimensional Fluid Simulation for Fusion Science with HPF on the Earth Simulator

Sakagami¹,

Murai²,

Seo³

et al. 2002

ACM/IEEE SC 2002 Conference (SC'02)

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We succeeded in getting 14.9 TFLOPS performance when running a plasma simulation code IMPACT-3D parallelized with High Performance Fortran on 512 nodes of the Earth Simulator. The theoretical peak performance of the 512 nodes is 32 TFLOPS, which means 45% of the peak performance was obtained with HPF. IMPACT-3D is an implosion analysis code using TVD scheme, which performs three-dimensional compressible and inviscid Eulerian fluid computation with the explicit 5-point stencil scheme for spatial differentiation and the fractional time step for time integration. The mesh size is 2048x2048x4096, and the third dimension was distributed for the parallelization. The HPF system used in the evaluation is HPF/ES, developed for the Earth Simulator by enhancing NEC HPF/SX V2 mainly in communication scalability. Shift communications were manually tuned to get best performance by using HPF/JA extensions, which was designed to give the users more control over sophisticated parallelization and communication optimizations.

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Section: Automatic Communicationsmentioning

confidence: 99%

“…These HPF compilers are very reliable and facilitate getting good performance for real-world scientific applications [9][10][11][12]. JAHPF is now expanded into a new organization, HPF Promoting Consortium (HPFPC) [13], where various HPF promotion activities are supported.…”

Section: High Performance Fortranmentioning

confidence: 99%

14.9 TFLOPS Three-Dimensional Fluid Simulation for Fusion Science with HPF on the Earth Simulator

Sakagami¹,

Murai²,

Seo³

et al. 2002

ACM/IEEE SC 2002 Conference (SC'02)

Self Cite

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“…In our study, we focus on the evaluation of not only the performance but also the productivity for GTC-P. PIC method is often implemented some PGAS parallel programming languages. H. Sakagami and T. Mizuno [12] implemented 2D particle code, ESPAC2: 2D electrostatic plasma, based on PIC method using High Performance Fortran (HPF) [5] which is directive-based language similar to OpenMP and supports the globalview model. The particle data is distributed into the block, while the electrostatic field is replicated onto each process.…”

Section: Related Researchmentioning

confidence: 99%

Hybrid-View Programming of Nuclear Fusion Simulation Code in XcalableMP

Tsugane

Boku

Murai

et al. 2020

XcalableMP PGAS Programming Language

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XcalableMP(XMP) supports a global-view model that allows programmers to define global data and to map them to a set of processors, which execute the distributed global data as a single thread. In XMP, the concept of a coarray is also employed for local-view programming. In this study, we port Gyrokinetic Toroidal Code - Princeton (GTC-P), which is a three-dimensional gyrokinetic PIC code developed at Princeton University to study the microturbulence phenomenon in magnetically confined fusion plasmas, to XMP as an example of hybrid memory model coding with the global-view and local-view programming models. In local-view programming, the coarray notation is simple and intuitive compared with Message Passing Interface (MPI) programming, while the performance is comparable to that of the MPI version. Thus, because the global-view programming model is suitable for expressing the data parallelism for a field of grid space data, we implement a hybrid-view version using a global-view programming model to compute the field and a local-view programming model to compute the movement of particles. The performance is degraded by 20% compared with the original MPI version, but the hybrid-view version facilitates more natural data expression for static grid space data (in the global-view model) and dynamic particle data (in the local-view model), and it also increases the readability of the code for higher productivity.

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“…In our study, we focus on the evaluation of not only the performance but also the productivity for GTC-P. PIC method is often implemented some PGAS parallel programming languages. H. Sakagami and T. Mizuno [14] implemented 2D particle code, ES-PAC2: 2D electro-static plasma, based on PIC method using High Performance Fortran (HPF) [15] which is directive-based language similar to OpenMP and supports the global-view model. The particle data is distributed into the block, while the electrostatic field is replicated onto each process.…”

Section: Related Researchmentioning

confidence: 99%

Hybrid-view programming of nuclear fusion simulation code in the PGAS parallel programming language XcalableMP

et al. 2016

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Recently, the Partitioned Global Address Space (PGAS) parallel programming model has emerged as a usable distributed memory programming model. Xcal-ableMP (XMP) is a PGAS parallel programming language that extends base languages such as C and Fortran with directives in OpenMP-like style. XMP supports a global-view model that allows programmers to define global data and to map them to a set of processors, which execute the distributed global data as a single thread. In XMP, the concept of a coarray is also employed for local-view programming. In this study, we port Gyrokinetic Toroidal Code-Princeton (GTC-P), which is a three-dimensional gyrokinetic PIC code developed at Princeton University to study the microturbulence phenomenon in magnetically confined fusion plasmas, to XMP as an example of hybrid memory model coding with the global-view and local-view programming models. In local-view programming, the coarray notation is simple and intuitive compared with Message Passing Interface (MPI) programming while the performance is comparable to that of the MPI version. Thus, because the global-view programming model is suitable for expressing the data parallelism for a field of grid space data, we implement a hybrid-view version using a global-view programming model to compute the field and a local-view programming model to compute the movement of particles. The performance is degraded by 20% compared with the original MPI version, but the hybrid-view version facilitates more natural data expression for static grid space data (in the global-view model) and

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Compatibility comparison and performance evaluation for Japanese HPF compilers using scientific applications

Cited by 5 publications

References 0 publications

14.9 TFLOPS Three-Dimensional Fluid Simulation for Fusion Science with HPF on the Earth Simulator

14.9 TFLOPS Three-Dimensional Fluid Simulation for Fusion Science with HPF on the Earth Simulator

Hybrid-View Programming of Nuclear Fusion Simulation Code in XcalableMP

Hybrid-view programming of nuclear fusion simulation code in the PGAS parallel programming language XcalableMP

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