🖥️ OpenCL - hello · Scour

A n00b PM’s guide to vibe coding kernels from scratch ⚡Hardware Acceleration

ddmckinnon.com·4d·Hacker News·

CUDA Tile Programming Now Available for BASIC! 🎮SIMT Execution

developer.nvidia.com·1d·Hacker News·

New stable kernels for Thursday 🦅Falco

lwn.net

·9h·

KTransformers Adds AVX2 MoE Support For Viable Performance On CPUs Without AMX/AVX-512 ⚡Hardware Acceleration

phoronix.com·12h·

Inside the Together AI kernels team 🧩mimalloc

together.ai·1d·

Model2Kernel: Model-Aware Symbolic Execution For Safe CUDA Kernels 🔍KLEE

arxiv.org·6d·

From one model to seven — what it took to make TurboQuant model-portable 🦙Ollama

dev.to·1d·DEV·

yash27-lab/batch_forge: A high-performance, bare-metal inference engine for JAX and Equinox models written in Rust. Features zero-copy Safetensors loading and hand-optimized Metal/Vulkan compute kernels for Transformers, Vision Language Models, and State-Space Models 🏛️Embassy

github.com·3d·Hacker News·

LLM Quantization, Kernels, and Deployment: How to Fine-Tune Correctly, Part 5 ⏪Deoptimization

pub.towardsai.net

·1d·

MXFP8 GEMM: Up to 99% of cuBLAS Performance Using CUDA and PTX 🧩mimalloc

danielvegamyhre.github.io·4d·Hacker News·

PyTorch Call Stack Deep Dive: Tracing Tensor Operations from Python to C++ Kernels 🔥PyTorch

next.redhat.com·6d·

[Testing Update] 2026-03-28 - Kernels, Plasma 6.6.3, LibreOffice, Systemd, Mesa 🐧Linux

forum.manjaro.org·5d·

Standard Quantum Phase Estimation Detects All Eigenvalues via Randomized Initial States ⚛️Quantum Computing

arxiv.org·18h·

SCALE-TRACK: Asynchronous Euler-Lagrange particle tracking on heterogeneous computing architecture 🔍DTrace

arxiv.org·2d·

Open-Source RadeonSI+Rusticl Nearing Formal OpenCL 3.0 Conformance ⚡Hardware Acceleration

phoronix.com·3d·

Loop Control Management in Tightly Coupled Processor Arrays (TCPAs) 🗺️Memory-Mapped Queues

arxiv.org·2d·

Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML 🗜️Columnar Compression

arxiv.org·6d·

Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization? 🎭Program Synthesis

arxiv.org·6d·

Adaptive Learned Image Compression with Graph Neural Networks 🗜️Roaring Bitmaps

arxiv.org·6d·

Non-local Potts model on random lattice and chromatic number of a plane 🔲Cellular Automata

arxiv.org·3d·

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