The Fédération Internationale de l’Automobile (FIA) released the latest version of sporting and technical regulations for 2017 Formula One Grand Prix on April 29, 2016.  This document is the rulebook that all Formula One racing teams must follow in the 2017 season.  All of the restrictions of CFD simulations are clearly defined in Appendix 8 (Aerodynamic Testing Restrictions) – section 2 of the sporting regulations.

Computational Fluid Dynamics (CFD), a widely accepted methodology in automobile aerodynamics R&D, has been proven to speed up the turnaround time effectively. The biggest upside is that it doesn’t involve any part manufacturing and all proof of concepts (POC) can be done on computers.  In the high-end auto industry, such as sports and racing vehicle makers, CFD has been used even more intensively. In this blog post, I’ll illustrate why Formula One racing teams should leverage the cloud to advance their CFD designs and why FIA, as the governing body of the sport, would also benefit from pushing it forward.

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This article was written by Irwen Song.

Guest post by Paul Hulsman, Team Manager, Eco-Runner Team Delft at TU Delft

Ecorunner

Ecorunner VII hydrogen-powered race vehicle

Eco-Runner Team Delft is a student engineering team at the TU Delft. Since 2005 our mission has been to design and build the most efficient hydrogen-powered vehicle possible. Every year, we compete in the Shell Eco-marathon competition, which pits student-designed hydrogen-powered vehicles against each other to complete a 16-kilometer course using the least amount of fuel. There are two vehicle assemblies that are critical to winning: a fuel-efficient propulsion system and a body with minimal vehicle resistance or weight. The weight of the vehicle is crucial to fuel efficiency because the 2017 Eco-marathon course featured a hill. Thus, our design efforts this year focused on making every component of the car as light as possible to reduce the energy requirement to climb the hill. We used Rescale’s ScaleX platform to explore and simulate many weight-saving design options while maintaining structural integrity. Rescale’s cloud-enabled simulation allowed us to quickly design a lightweight, but strong vehicle on a constrained project schedule and a student budget.

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This article was written by Eco-Runner Team Delft.

3 new members

Rescaleに3名の新しいメンバーがチームに参加し、また、シンガポールに新たにオフィスを開設し東南アジアへのビジネスを強化したことを発表しました。新たなマネージメントメンバーは写真左から、マーケティング担当VPのJonathan Oakley、ハイパフォーマンスコンピューティング担当VP兼ゼネラルマネージャーのGabriel Broner、東南アジア担当ディレクターのZac Leowの3名です。

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This article was written by Rescale Japan.

HPC Disruption

In 1991, I joined Cray and had the opportunity to work on the machines Seymour Cray designed. I was working on the operating system and would often have to work alone on it at night, but the excitement of working on such unique systems kept me going. The Cray 1, XMP, YMP, represented a family of machines where a differentiated architecture and design allowed you to solve problems that you just couldn’t solve with a regular computer.

When I joined, Cray was considering building a new type of parallel machines we called MPPs (massively parallel processing). I worked on the design and implementation of the operating system for the Cray T3E, a system with 2048 individual nodes, with standard CPU chips, memory, and a proprietary high-speed interconnect.  Ahead of its time, Cray was building what we today call HPC clusters. Besides it being a fantastic engineering project, it was the beginning of a disruption: going from proprietary Cray architectures to clusters of nodes with commodity parts.

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This article was written by Gabriel Broner.