PTX

GPU Assembly, CUDA ISA, Kernel Optimization, Low-level Programming

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CUDA-Oxide 0.2 Brings Early Improvements To Pure Rust CUDA Kernels

 CUDA Programming Patterns
phoronix.com·

Coupling Complementary Simulations for Combined Performance and Energy Optimization

 🌐Distributed Computing  Content type: Academic
arxiv.org·

bigattichouse/packed-twin-inference: PTI achieves ~2× throughput using a single quantized model (Q5_K_M or better) by running 4 generation streams in one batched decode call. The GPU loads model weights once per step and produces 4 predictions simultaneously. KV cache overhead is ~0.8 GiB total for all 4 streams. No draft model. No quality loss

 🔥PyTorch  Content type: Code
github.com··r/LocalLLaMA

UN Inquiry Accuses Israeli Forces of Enabling Settler Violence in West Bank

 CUDA Programming Patterns
moderndiplomacy.eu·

NVIDIA Nsight Compute

 🔍Nsight
developer.nvidia.com·

I stopped using most of Rust’s advanced features for my ML library

 🔥PyTorch  Content type: Code
github.com··r/rust

jdalang/jda-lang: Jda: A high-performance systems language bootstrapped from assembly. Beats C on sudoku & LZ77. Self-hosted compiler, no GC, built-in concurrency & ML.

 📝Code Editors  Content type: Code
github.com··DEV

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