{"id":64922,"date":"2022-04-19T16:42:57","date_gmt":"2022-04-19T14:42:57","guid":{"rendered":"https:\/\/www.planet3dnow.de\/cms\/?p=64922"},"modified":"2022-04-19T16:43:09","modified_gmt":"2022-04-19T14:43:09","slug":"amd-epyc-processors-deliver-competitive-computing-edge-to-mercedes-amg-petronas-formula-one-racing-team","status":"publish","type":"post","link":"https:\/\/www.planet3dnow.de\/cms\/64922-amd-epyc-processors-deliver-competitive-computing-edge-to-mercedes-amg-petronas-formula-one-racing-team\/","title":{"rendered":"AMD<\/span> EPYC<\/span> Processors Deliver Competitive Computing Edge to Mercedes-AMG Petronas Formula One Racing Team"},"content":{"rendered":"

AMD<\/span> EPYC<\/span>\u2122 processors push boundaries in aerodynamic testing, cutting CFD<\/span> workload time in half by delivering 20 percent improvement for eight-time Constructors\u2019 Champions<\/h3>\n

SANTA<\/span> CLARA<\/span>, Calif., April 19, 2022 (GLOBE<\/span> NEWSWIRE<\/span>) \u2014 AMD<\/span><\/a> (NASDAQ<\/span>: AMD<\/span>) and the Mer\u00adce\u00addes-AMG Petro\u00adnas For\u00admu\u00adla One (F1<\/span>) Team today show\u00adca\u00adsed how AMD<\/span> EPYC<\/span> pro\u00adces\u00adsors impro\u00adved aero\u00addy\u00adna\u00admics test\u00ading capa\u00adci\u00adty, con\u00adtri\u00adbu\u00adting to the Mer\u00adce\u00addes-AMG Petro\u00adnas team win\u00adning its eighth Con\u00ads\u00adtruc\u00adtors\u2019 Cham\u00adpi\u00adon\u00adship in the 2021 racing sea\u00adson. By using AMD<\/span> EPYC<\/span> pro\u00adces\u00adsors, the team was able to achie\u00adve a 20 per\u00adcent per\u00adfor\u00admance impro\u00adve\u00adment<\/a> for com\u00adpu\u00adta\u00adtio\u00adnal flu\u00adid dyna\u00admics (CFD<\/span>) workloads that were used to model and test aero\u00addy\u00adna\u00admic flow of their F1<\/span> car.<\/p>\n

\u201c<\/span>We are proud to part\u00adner with the reig\u00adning Con\u00ads\u00adtruc\u00adtors\u2019 Cham\u00adpi\u00adons, the Mer\u00adce\u00addes-AMG Petro\u00adnas For\u00admu\u00adla One Team, ope\u00adra\u00adting at the cut\u00adting edge of racing and tech\u00adno\u00adlo\u00adgy,\u201d said, Dan McNa\u00adma\u00adra, seni\u00ador vice pre\u00adsi\u00addent and gene\u00adral mana\u00adger, Ser\u00adver Busi\u00adness Unit, AMD<\/span>. \u201cFor F1<\/span> teams, having the most effec\u00adti\u00adve com\u00adpu\u00adta\u00adtio\u00adnal ana\u00adly\u00adsis of aero\u00addy\u00adna\u00admics can mean the dif\u00adfe\u00adrence bet\u00adween win\u00adning and losing a race. With AMD<\/span> EPYC<\/span> pro\u00adces\u00adsors, the Mer\u00adce\u00addes-AMG F1<\/span> team can ite\u00adra\u00adte on vehic\u00adle design fas\u00adter and more effi\u00adci\u00adent\u00adly than their pre\u00advious system.\u201d<\/p>\n

By using AMD<\/span> EPYC<\/span> pro\u00adces\u00adsors, the Mer\u00adce\u00addes-AMG Petro\u00adnas F1<\/span> team is pushing the boun\u00adda\u00adries of what is pos\u00adsi\u00adble with CFD<\/span> by deve\u00adlo\u00adping ground\u00adbrea\u00adking aero\u00addy\u00adna\u00admics while deli\u00adve\u00adring the pri\u00adce-per\u00adfor\u00admance requi\u00adred to meet bud\u00adget regu\u00adla\u00adti\u00adons put in place by the F\u00e9d\u00e9\u00adra\u00adti\u00adon Inter\u00adna\u00adtio\u00adna\u00adle de l\u2019Au\u00adto\u00admo\u00adbi\u00adle (FIA<\/span>). Aero\u00addy\u00adna\u00admics are some of the most com\u00adplex, tech\u00adni\u00adcal workloads among F1<\/span> teams and requi\u00adre advan\u00adced pro\u00adces\u00adsors and ser\u00advers to run the ana\u00adly\u00adses and bench\u00admarks. Fur\u00adther\u00admo\u00adre, the FIA<\/span> has deve\u00adlo\u00adped an intri\u00adca\u00adte frame\u00adwork dic\u00adta\u00adting how much CFD<\/span> per\u00adfor\u00admance and wind tun\u00adnel time F1<\/span> teams are allo\u00adwed to use, in an effort to avo\u00adid giving an unfair com\u00adpe\u00adti\u00adti\u00adve advan\u00adta\u00adge to the teams with more resources.<\/p>\n

\u201c<\/span>AMD<\/span> EPYC<\/span> pro\u00adces\u00adsors offer us a plat\u00adform that deli\u00advers aero\u00addy\u00adna\u00admic per\u00adfor\u00admance day after day at the hig\u00adhest pos\u00adsi\u00adble level while mee\u00adting our goal of fas\u00adter tur\u00adn\u00adaround time for design ite\u00adra\u00adti\u00adon,\u201d said Simon Wil\u00adliams, Head of Aero Deve\u00adlo\u00adp\u00adment Soft\u00adware at Mer\u00adce\u00addes-AMG Petro\u00adnas F1<\/span>. \u201cIncre\u00addi\u00adbly, we gai\u00adned a 20 per\u00adcent per\u00adfor\u00admance impro\u00adve\u00adment over our pre\u00advious sys\u00adtem which has cut our CFD<\/span> workload time in half. This is a big step com\u00adpared to the past one or two per\u00adcent gains seen with pre\u00advious systems.\u201d<\/p>\n

AMD<\/span> and Mer\u00adce\u00addes-AMG Petro\u00adnas For\u00admu\u00adla One Team first announ\u00adced a mul\u00adti-year part\u00adner\u00adship in 2020, com\u00adbi\u00adning the two com\u00adpa\u00adnies\u2019 pas\u00adsi\u00adon for extre\u00adme per\u00adfor\u00admance. To learn more about the work AMD<\/span> and Mer\u00adce\u00addes-AMG Petro\u00adnas For\u00admu\u00adla One Team have done, visit this link<\/a>.<\/p>\n

Sup\u00adport\u00ading Resources<\/strong><\/p>\n