🔀 SIMD Programming - hello · Scour

APL Performance 📏Linear Types

aplwiki.com·3d·Hacker News·

AXON: An Automated Netlist Optimization Framework for High-Speed Adders 🚀Superoptimization

arxiv.org·2d·

facebookincubator/dispenso: The project provides high-performance concurrency, enabling highly parallel computation. 🌀Naiad

github.com·21h·Hacker News·

Building a Free AI Image Generator on 7 GPUs: Architecture Deep Dive 🎮WebGPU

dev.to·12h·DEV·

Metal Quantized Attention: pulling M5 Max ahead with Int8 matrix multiplication ⚡Hardware Acceleration

releases.drawthings.ai·1d·Hacker News·

Accelerate CPU-based AI inference workloads using Intel AMX on Amazon EC2 🔢Intel AMX

aws.amazon.com·3d·

Building CompilerSutra 🔨Compiler Design

docs.google.com·21h·DEV·

Intel Binary Optimization Tool Changes Code Execution with Heavy Vectorization 📊Profiling Tools

techpowerup.com·2d·

'Performance without compromise': AMD debuts first dual 3D V-Cache Ryzen CPU in potential showdown against Threadripper and EPYC siblings ⚡Hardware Acceleration

techradar.com

·2d·

Iteratively optimizing an SPSC queue ⭕Ring Buffers

blog.c21-mac.com·4d·r/cpp·

Supercharging Redpanda Streaming with profile-guided optimization 🚀Performance

redpanda.com·1d·

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

danielvegamyhre.github.io·5d·Hacker News·

Building a Production-Grade Vector Database in Rust: What We Shipped 🚀Shuttle

ferres.io·2d·DEV·

Intel Delivers Open, Scalable AI Performance in MLPerf Inference v6.0 🎯Intel IPP

newsroom.intel.com·1d·

Why I’m Building a Database Engine in C# 🔨Incremental Compilation

nockawa.github.io·6d·Hacker News·

Adaptive Parallel Monte Carlo Tree Search for Efficient Test-time Compute Scaling ⚡X-Fast Tries

arxiv.org·21h·

abdimoallim/psimd: A portable, header-only SIMD library for C (SSE2, SSE4.1, AVX/AVX2+FMA, NEON/AArch64, WebAssembly SIMD128, scalar fallback) 🔢AVX-512

github.com·1d·r/C_Programming·

Performance & Recursion 🌳Instruction Selection

dev.to·4d·DEV·

m0at/rvllm: rvLLM: High-performance LLM inference in Rust. Drop-in vLLM replacement. 📊Criterion.rs

github.com·5d·Hacker News·

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·4d·Hacker News·

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