CompilerSutra

Building practical compiler content ⚙️
LLVM • MLIR • Performance

→ Real benchmarks, not theory
→ Learn how CPUs actually run your code

[CompilerSutra @CompilerSutra]

Built a niche site on compilers (https://t.co/0HJR5YZpfB)

Last 12 months:

→ 1.09M impressions
→ 11K clicks
Ranking for LLVM, OpenCL, TVM.

Just consistent deep-tech content.

Still early. Long way to go
#llvm #ai #compiler #gcc

[CompilerSutra @CompilerSutra]

Most devs write code.
Few know how it becomes machine instructions.
Building VELOX:

Frontend → LLVM IR → opt → llc → RISC-V → QEMU

👉 pulse = unit of computation

Read: https://t.co/pyUlpFDCsS

#LLVM #Compilers #RISCV

[CompilerSutra @CompilerSutra]

https://t.co/V9vmQI97Pn

#ai #compiler #ml #llvm #compilersutra

[CompilerSutra @CompilerSutra]

Just published a hands-on guide to building your own LLVM Pass as a plugin!

Learn how to:
✅ Create a custom pass
Perfect for anyone diving into compiler internals 🔥
👉 https://t.co/DXJdecL4CO

#LLVM #Compilers #Programming #Systems #OpenSource #CPlusPlus

[CompilerSutra @CompilerSutra]

Compiler MCQs for Engineers & Students 🚀

Test your fundamentals (IR, passes, backend).
Concept-based, interview-focused.
🔗 https://t.co/lxAw4s88Tv

#mcq #cpp #compilersutra #llvm #mlir #ai #gpu

[CompilerSutra @CompilerSutra]

Everyone talks about AI models.
No one talks about how they actually run.
That’s where compilers come in.

https://t.co/gRXxLovA3l

#ai #college #gpu #cpu

[CompilerSutra @CompilerSutra]

CompilerSutra where code meets execution.

C: #Code |
O: #Optimize |
M: Modular |
P: #Performance
I: #instrumental |
L: #Link |
E: #Execute |
R: #Reliable

S: Scale |
U: Understand |
T: Tool |
R: Refine |
A: Architecture

https://t.co/r4g9SJXO02

[CompilerSutra @CompilerSutra]

@sama A scoped child terminal per agent/task would make this even more useful better isolation, clearer logs, and real parallel workflows without losing visibility.

[CompilerSutra @CompilerSutra]

https://t.co/muU8J5O7rw

[CompilerSutra @CompilerSutra]

Compilers aren’t magic.

Your code gets faster through LLVM passes.

Small transformations → big performance ⚡

Learn how it works 👇
https://t.co/x1wcHfSXEo

#llvm #compiler #gcc #npu #cpurpled

[CompilerSutra @CompilerSutra]

6 lines of Triton → thousands of GPU instructions.

Python → TTIR → TTGIR → LLVM → AMDGCN → HSACO

a + b → buffer_load_b128
mask → v_cmp
Your code ≠ what GPU runs.

Full breakdown 👇

https://t.co/RUsIsCAMIk

#Compilers #GPU #LLVM #Triton

[CompilerSutra @CompilerSutra]

Just launched CompilerSutra on Vercel

Working on a resource for:

Compilers (LLVM, IR, optimization)
ML Compilers (MLIR, TVM, GPU kernels)

📊 Early traffic already coming in from Google + users reading docs

Check it out:
https://t.co/Y2ioAiHcIx

[CompilerSutra @CompilerSutra]

Sharing a short write-up on measuring CPU behavior using perf.

Covers:

cycles, instructions, IPC
cache misses and their impact
sequential vs random access

Practical way to debug why a C++ loop is slow.

📖 https://t.co/7DQqYwO911

#llvm #compiler #ai

[CompilerSutra @CompilerSutra]

Most compiler content is too theoretical.

I’m building CompilerSutra to fix that — practical deep dives on LLVM, MLIR, and performance ⚙️

If you're interested 👇
https://t.co/5ll9Wx8XoC

What topics do you want next?
#llvm #compiler #tutorial

[CompilerSutra @CompilerSutra]

Because it’s not just codegen it’s backend execution strategy.
In my benchmark
👉 GCC is ~25% faster than Clang
👉 Due to better AGU utilization + instruction scheduling
👉 Lower pipeline stalls in hot loops
Same instructions ≠ same performance.
#gcc #clang #llvm #Compilers

[CompilerSutra @CompilerSutra]

Most people think:
👉 Performance = fewer instructions
❌ Wrong

Same code. Same instructions.
Still GCC is ~25% faster than Clang

Why? 👇
Comment down the reason we will discuss tommorow
#IPLIndia #cpplus2026 #layoffs2026

[CompilerSutra @CompilerSutra]

@umeshchw Use-case > Budget > Specs
Not RAM-first.
CPU decides performance.
RAM just supports it.
Most people get this wrong.

[CompilerSutra @CompilerSutra]

#CPU doesn’t run code.
It runs #bytes.
#Fetch → #Decode → #Execute → #Writeback

#Perf ≠ #instructions
It’s:
• #cache
• #deps
• #pipeline

#RAM miss = 💀 (200+ cycles)
👉 #CPU fast. #Memory is slow.
#compilers #llvm #systems #performance
https://t.co/SDIYVc0KWB

[CompilerSutra @CompilerSutra]

Most people think:
👉 Performance = fewer instructions
❌ Wrong

Same code. Same instructions.
Still GCC is ~25% faster than Clang

Why? 👇
Comment down the reason we will discuss tommorow
#IPLIndia #cpplus2026 #layoffs2026

[CompilerSutra @CompilerSutra]

Most people think performance = instruction count.
Not true.
Same instructions.
Same code.
GCC is ~25% faster than Clang here.
Reason?
AGU pressure + scheduling.

Compilers don’t just generate code
they decide how the CPU gets fed.

https://t.co/kUw1CnyuYo

#clang #gcc #llvm

[CompilerSutra @CompilerSutra]

Just launched an MCQ section for Compiler & LLVM learners!
If you're preparing for compiler interviews or revising fundamentals, this might help 👇

🔗 https://t.co/gu0ZnuY2zA

feedback is highly welcome 🙌
#compilers #llvm #programming #cpp #SystemDesign

[CompilerSutra @CompilerSutra]

https://t.co/8UdwLIhWlr gold bolt link

[CompilerSutra @CompilerSutra]

Most people think performance = instruction count.
Not true.
Same instructions.
Same code.
GCC is ~25% faster than Clang here.
Reason?
AGU pressure + scheduling.

Compilers don’t just generate code
they decide how the CPU gets fed.

https://t.co/kUw1CnyuYo

#clang #gcc #llvm