Parth

GSoC '26 @OWASP | Backend/ distributed systems | database enjoyer | 20 | DMs open!!

[Parth @parthaggar69751]

Just finished a pod @kirat_tw , my communication skills were as shitty as always 🥲, didn't forget to mention my GOAT @cbajpai7 though

[Parth @parthaggar69751]

@kapish_dima Is this part of the same software as your last few posts? what are you using ? 🫣

[Parth @parthaggar69751]

@Ashutosh_7x7 @xevrion_the1 lmmaaoo, they copied it, made it look worse and even put it behind a paywall 😂😂

[Parth @parthaggar69751]

@mohitsatitwt No omarchy allowed, rice it yourself

[Parth @parthaggar69751]

@kartikktwt welcome to the club gang :))

[Parth @parthaggar69751]

@veelesec @AbhinavXJ Android better :))

[Parth @parthaggar69751]

@ppmpreetham Damn, congrats man!!!

[Parth @parthaggar69751]

@ppmpreetham Total compensation, basically ctc/ package for 😅

[Parth @parthaggar69751]

@YashJRathod Make sure the demo and hla is top notch 🫡

[Parth @parthaggar69751]

@hiiinternet Hey there 😏

[Parth @parthaggar69751]

Paaytttmmm I am inside you 🗣️🗣️🗣️🗣️

[Parth @parthaggar69751]

Yooo chat, gonna mentor a 20k$ price pool hackathon soon🫣😁

[Parth @parthaggar69751]

@veelesec just referall maxxx then fam, also when you get one, send one my way too... 😅🥲

[Parth @parthaggar69751]

@Supriyo760 bro didnt even try to make the lies sound convincing😭😭😭

[Parth @parthaggar69751]

hall of fame for worst colour choice :))

[Parth @parthaggar69751]

Yooo chat, gonna mentor a 20k$ price pool hackathon soon🫣😁

[Parth @parthaggar69751]

@infinterenders I guess I can't find a lover even In my next life 🥲

[Parth @parthaggar69751]

@imfuryfist congrats man!!

[Parth @parthaggar69751]

@Night_owllll11 alive 3 in the morning ?

[Parth @parthaggar69751]

ek hi to dil hai, aur kitni baar jeetoge :))

[pavan @pawankalyandev]

ok here it is. a free mini book on assembly, from bits all the way down to what your gpu actually runs.

risc-v > x86 > simd > ptx > sass. 129 pages.

not gonna lie, i worked very hard on this. i turned my transcripts of what i understood into this, then had ai refine those transcripts. but trust me, its worth the read.

every risc-v example was tested against a reference (245 checks), every compiler listing is what clang actually printed, and every benchmark was measured. the cuda kernels were compiled but not run (no gpu on me), and the book explicitly says that on the page.

my fav part: the same matmul, 3 loop orders, went from 1.8 > 68 gflop/s on one core. 38x faster without removing a single flop.

would appreciate your feedback, guys.

https://t.co/Ee0vWzoM4M

[Parth @parthaggar69751]

@Utkarsh057 @Supriyo760 all the best

[Parth @parthaggar69751]

@Utkarsh057 @Supriyo760 i am also doing it now, lets see...