High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)

نویسندگان

  • Alexander Heinecke
  • Alexander Breuer
  • Michael Bader
  • Pradeep Dubey
چکیده

We present a holistic optimization of the ADER-DG finite element software SeisSol targeting the Intel © Xeon Phi TM x200 processor, codenamed Knights Landing (KNL). SeisSol is a multi-physics software package performing earthquake simulations by coupling seismic wave propagation and the rupture process. The code was shown to scale beyond 1.5 million cores and achieved petascale performance when using local time stepping for the computationally heavy seismic wave propagation. Advancing further along these lines, we discuss the utilization of KNL’s core features, the exploitation of its two-level memory subsystem (which allows for efficient out-of-core implementations), and optimizations targeting at KNL’s 2D mesh on-die interconnect. Our performance comparisons demonstrate that KNL is able to outperform its previous generation, the Intel © Xeon Phi TM coprocessor x100 family, by more than 2.9 × in time-to-solution. Additionally, our results show a 3.4 × speedup compared to latest Intel © Xeon © E5v3 CPUs.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Co-design of a Particle-in-Cell Plasma Simulation Code for Intel Xeon Phi: A First Look at Knights Landing

Three dimensional particle-in-cell laser-plasma simulation is an important area of computational physics. Solving state-of-the-art problems requires large-scale simulation on a supercomputer using specialized codes. A growing demand in computational resources inspires research in improving efficiency and co-design for supercomputers based on manycore architectures. This paper presents first per...

متن کامل

Acceleration of the Boundary Element Library BEM4I on the Knights Corner and Knights Landing Architectures

The aim of the poster is to present the acceleration of the boundary element method (BEM) by the Intel Xeon Phi technology. The poster provides brief overview of BEM followed by the discretization approach and efficient numerical assembly of the BEM matrices. We discuss its parallelization by OpenMP in shared memory and the SIMD vectorization necessary to exploit the full potential of the Xeon ...

متن کامل

Long-time simulations with complex code using multiple nodes of Intel Xeon Phi Knights Landing

Modern partial differential equation (PDE) models across scientific disciplines require sophisticated numerical methods resulting in complex codes as well as large numbers of simulations for analysis like parameter studies and uncertainty quantification. To evaluate the behavior of the model for sufficeintly long times, for instance, to compare to laboratory time scales, often requires long-tim...

متن کامل

Performance of Hybrid MPI/OpenMP VASP on Cray XC40 Based on Intel Knights Landing Many Integrated Core Architecture

With the recent installation of Cori, a Cray XC40 system with Intel Xeon Phi Knights Landing (KNL) many integrated core (MIC) architecture, NERSC is transitioning from the multi-core to the more energy-efficient many-core era. The developers of VASP, a widely used materials science code, have adopted MPI/OpenMP parallelism to better exploit the increased on-node parallelism, wider vector units,...

متن کامل

Evaluating the networking characteristics of the Cray XC-40 Intel Knights Landing-based Cori supercomputer at NERSC

There are many potential issues associated with deploying the Intel Xeon PhiTM (code named Knights Landing (KNL)) manycore processor in a large-scale supercomputer. One in particular is the ability to fully utilize the high-speed communications network, given the serial performance of a Xeon PhiTM core is a fraction of a Xeon® core. In this paper we take a look at the tradeoffs associated with ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016