实例探究 > The Need for Speed Drives NASCAR’s Richard Childress Racing to the Cloud

The Need for Speed Drives NASCAR’s Richard Childress Racing to the Cloud

公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Rescale’s ScaleX™ platform
  • ANSYS Fluent
技术栈
  • High-Performance Computing (HPC)
  • Cloud Computing
  • Computational Fluid Dynamics (CFD)
实施规模
  • Enterprise-wide Deployment
影响指标
  • Innovation Output
  • Productivity Improvements
技术
  • 基础设施即服务 (IaaS) - 云计算
适用行业
  • 汽车
适用功能
  • 产品研发
用例
  • 质量预测分析
  • 过程控制与优化
服务
  • 云规划/设计/实施服务
  • 数据科学服务
关于客户
Richard Childress Racing (RCR) is a NASCAR team with a 48-year history. The team designs and builds its race cars end-to-end, engineering and machining its own chassis and suspension components, designing and fabricating its own bodies, and testing and building its own engines. RCR has won 17 championships and 200 races and became the first team to win in all three of NASCAR’s top touring series. Today, RCR has eight full-time race teams, over 500 employees, a 40-acre campus, and an engineering staff of over 50, including a dedicated aerodynamics team.
挑战
Richard Childress Racing (RCR) is a successful NASCAR team that designs and builds its race cars from the ground up. Over the past 12 years, RCR has invested significantly in computational fluid dynamics (CFD) to develop a deeper understanding of the aerodynamics of their cars, evaluate new aerodynamic concepts, and analyze phenomena not modeled in the wind tunnel. However, CFD is a compute-intensive process, and RCR's on-premises resources were limited. They needed to augment their capacity to build larger models with a resolution high enough to precisely understand the intricate flow details that affect the car’s speed on the track.
解决方案
RCR turned to Rescale’s ScaleX™ platform for full-car aerodynamic simulation of the vehicle body. The platform allowed RCR to run jobs on 512 cores or more, completing in 10 hours. This gave RCR the ability to run more complex simulations in greater quantity because of the access to a wealth of hardware on the cloud. Additionally, the ability to run jobs instantly without waiting in a queue accelerated their simulations and gave them the agility to debug and run design variations and “what-if” scenarios quickly. RCR plans to automate more simulation with Rescale in order to increase their simulation throughput and streamline the process.
运营影响
  • RCR was able to run more complex simulations in greater quantity because of the access to a wealth of hardware on the cloud.
  • The ability to run jobs instantly without waiting in a queue accelerated their simulations.
  • RCR gained the agility to debug and run design variations and “what-if” scenarios quickly.
数量效益
  • Jobs run on 512 cores or more, completing in 10 hours.

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