A Parallel Particle-In-Cell Code For Heterogeneous Hardware
نویسندگان
چکیده
An evaluation for a parallel Particle-In-Cell code leveraging heterogeneous hardware is presented. Two parallelization strategies are investigated on Intel R © Xeon Phi TM coprocessors. Hybrid parallelization is implemented to support optional workload offloading to coprocessors. A performance model is applied to load balance heterogeneous setups. Performance measurements of a benchmark show the quality of the proposed load balancing for both parallelization strategies.
منابع مشابه
Accelerating high-order WENO schemes using two heterogeneous GPUs
A double-GPU code is developed to accelerate WENO schemes. The test problem is a compressible viscous flow. The convective terms are discretized using third- to ninth-order WENO schemes and the viscous terms are discretized by the standard fourth-order central scheme. The code written in CUDA programming language is developed by modifying a single-GPU code. The OpenMP library is used for parall...
متن کاملPerformance modelling and optimisation of inertial confinement fusion simulation codes
Legacy code performance has failed to keep up with that of modern hardware. Many new hardware features remain under-utilised, with the majority of code bases still unable to make use of accelerated or heterogeneous architectures. Code maintainers now accept that they can no longer rely solely on hardware improvements to drive code performance, and that changes at the software engineering level ...
متن کاملParallel computing using MPI and OpenMP on self-configured platform, UMZHPC.
Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...
متن کامل3 D Gyrokinetic Particle – In – Cell Codes
We have ported a three–dimensional, electrostatic, gyrokinetic, particle–in–cell (PIC) plasma simulation code from the Cray2 to the BBN TC2000 and the Thinking Machines CM2. On the TC2000, we employed the PFP split–join programming paradigm[?]; on the CM2 we employed the CM Fortran data– parallel programming language. Though our hopes to produce codes ten or more times faster than the Cray2 cod...
متن کاملA Generic Approach for Developing Highly Scalable Particle-Mesh Codes for GPUs
We present a general framework for GPU-based low-latency data transfer schemes that can be used for a variety of particle-mesh algorithms [8]. This framework allows to hide the latency of the data transfer between GPU-accelerated computing nodes by interleaving it with the kernel execution on the GPU. We discuss as an example the fully relativistic particle-in-cell (PiC) code PIConGPU [5] curre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015