Better JIT for Postgres(github.com)

129 points by vladich 7 months ago | 58 comments

BasiliskII Macintosh 68k Emulator Ported to ESP32-P4 / M5Stack Tab5(github.com)

70 points by rcarmo 9 months ago | 11 comments

Verifiable science on modified PCR machine(github.com)

45 points by kotaKat 1 year ago | 15 comments

Intel 80286 emulator for Raspberry Pico(github.com)

17 points by fleeks 1 year ago | 14 comments

Show HN: Claudoro, Pomodoro timer embedded in the Claude Code statusline(github.com)

39 points by emson 3 months ago | 28 comments

LT6502: A 6502-based homebrew laptop(github.com)

398 points by classichasclass 8 months ago | 207 comments

GitHub repository for LT6502, an open-source 6502-based homebrew laptop design with case files, schematics, and software.

Open-source project ZLUDA lets CUDA apps run on AMD GPUs(cgchannel.com)

357 points by drakerossman 2 years ago | 133 comments

CG Channel news article about ZLUDA, an open-source project that lets unmodified CUDA applications run on AMD GPUs.

Nvidia NemoClaw(github.com)

356 points by hmokiguess 7 months ago | 234 comments

GitHub repository for NVIDIA NemoClaw, a plugin for secure installation of OpenClaw, licensed Apache-2.0.

Run CUDA, unmodified, on AMD GPUs(docs.scale-lang.com)

1251 points by Straw 2 years ago | 382 comments

Documentation for SCALE by Spectral Compute, a GPGPU toolkit that compiles unmodified CUDA applications natively for AMD GPUs.

Ghidra by NSA(github.com)

419 points by handfuloflight 8 months ago | 208 comments

GitHub repository for Ghidra, the NSA's open-source software reverse engineering framework licensed under Apache 2.0.

LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime(github.com)

609 points by rrampage 2 years ago | 134 comments

GitHub repository for LibreCUDA, an MIT-licensed project to launch CUDA kernels on Nvidia GPUs without using the proprietary CUDA runtime.

What every developer should know about GPU computing(codeconfessions.substack.com)

422 points by Anon84 3 years ago | 149 comments

A Substack primer by Abhinav Upadhyay explaining GPU architecture and computing concepts for software developers familiar mainly with CPUs.