Federico Perini

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Federico Perini

Federico Perini

@FedericoPerini

Combustion CFD consultant and researcher. Developing the FRESCO CFD code. Sempre fortissimo, e con strepito. 🇺🇸

Mantova / Madison Katılım Haziran 2011
420 Takip Edilen148 Takipçiler
Federico Perini
Federico Perini@FedericoPerini·
@levelsio It's possible that the US AM / Europe PM working hours overlap corresponds to their compute load peak... our requests may just sit in a queue for longer
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@levelsio
@levelsio@levelsio·
If Claude Code keeps being slow like this while I pay $200/mo (and they don't let me pay more) They will essentially force me to leave to Codex and I don't want to But it's soooooo slooooooooooooowwwww
@levelsio tweet media
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Kenton Varda
Kenton Varda@KentonVarda·
OMG GPT 5.5 wrote C++ code with a `goto` in it. What would Dijkstra say?
Kenton Varda tweet media
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Federico Perini
Federico Perini@FedericoPerini·
@taisukeOo Nice! what 3d framework does this use? three.js I guess? or vtk.js?
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大嶋泰介/TaisukeOhshima
大嶋泰介/TaisukeOhshima@taisukeOo·
物理シミュレーター × トポロジー最適化 × 編集機能 (GPT5.5プロンプト数回で実現) 物理シミュ系のゲーム好きだけど自分で作った方が楽しい。
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Federico Perini
Federico Perini@FedericoPerini·
@chenna1985 No but for a Combustion CFD solver in Fortran…. Ask me anything!
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Chennakesava Kadapa
Chennakesava Kadapa@chenna1985·
Do any of the genius AI prompt engineers have the prompts for Claude or ChatGPT for writing an FEM solver in C++ for multiphase flows using the phase field approach?
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Federico Perini
Federico Perini@FedericoPerini·
Despite what I'm reading on here, my initial feedback is positive about 4.7. At times it feels a bit dumber than 4.6 (4.5 > 4.6 > 4.7 tbh) but it's quite a lot faster, spending far less time staring at the screen, this is going to be a lot more productive overall 🚀
Claude@claudeai

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

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Federico Perini
Federico Perini@FedericoPerini·
@litocoen Tell me you're cherry picking without telling me you're cherry picking
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lito
lito@litocoen·
this made me lol italy is the most beautiful country in the world but god its coffee sucks
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Federico Perini
Federico Perini@FedericoPerini·
@IvanPribec Would be interesting to see how fast flang runs these tests - it’s a good benchmark
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Federico Perini
Federico Perini@FedericoPerini·
@SebAaltonen @BrockRiddickIFB Besides style - taste is personal - there's certainly a technical reason: (H)EVs don't need that much cooling, and fake fins advance flow separation, you don't want that for aerodynamic efficiency!
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Federico Perini retweetledi
𝙐𝙜𝙤 𝙋𝙖𝙣𝙞𝙯𝙯𝙖
Following up on a tweet by @micheleboldrin Nature index by university output. Nr of top 50 in Europe by country (pop in parenthesis) 🇩🇪 18 (84m) 🇬🇧 9 (69m) 🇨🇭 6 (9m) 🇳🇱 6 (18m) 🇫🇷 4 (66m) 🇧🇪 2 (12m) 🇸🇪 2 (10m) 🇩🇰 2 (6m) 🇦🇹 1 (9m) 🇮🇹 0 (59m) link in next tweet
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Federico Perini
Federico Perini@FedericoPerini·
@ChShersh Ah, interesting - so it's essentially an enum of types. In my use case focus is on propagating error handlers across many calls all over the CFD step. I want a struct of compile-time known size, that gets fast default initialization, fast return-by-value and so no polymorphism
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Dmitrii Kovanikov
Dmitrii Kovanikov@ChShersh·
What exactly do you want to be resolved at compile time? std::variant is a runtime structure; you don't know in advance which case it calls. So it has to call the corresponding function. However, the types of all cases are known in advance, so the implementation immediately knows which to call each time; it doesn't traverse the list of functions at runtime.
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Federico Perini
Federico Perini@FedericoPerini·
@SebAaltonen Are all SDFs for gaming from primitives or also from triangle meshes and more complex geometry structures? Like in a CFD code you have STL meshes and their sdfs are expensive even on GPU
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Sebastian Aaltonen
Sebastian Aaltonen@SebAaltonen·
Signed distance fields (SDF) are super nice for physics sim. Claybook had SDF based GPGPU physics engine. With SDF you always know where is the closest surface, even inside the objects. Pushing particles out is simple. Triangles = thin surface. Tunneling is a real issue.
Adiyar Aidarbekov - FXology@FX_ology

🤯DistanceFields is just an insane technology O_O ⛓️Sampling the DistanceField CollisionQuery to avoid particle clipping: 🔷if Distance to field is less than ParticleRadius - then it means that Particle is clipping through geometry => I correct it's position back to surface Since I'm using SimulationStage - it has same update rate as Constraint, so it doesn't break. #distancefield #niagara

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Federico Perini
Federico Perini@FedericoPerini·
"The practitioner shall implement their own..." "This is too much of a burden for compiler implementors".... I guess I should come to the conclusion that Fortran is faster-no-more. 🎪
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Federico Perini
Federico Perini@FedericoPerini·
And of course, a LOOP is always faster than an ARRAY🤦‍♂️... we'll at least soon get UNSIGNED, it's experimental on GCC.
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