Lists (7)
Stars
A GPU task manager for Windows, Linux, and WSL: per-process VRAM, GPU activity, and LLM model/KV-cache insights (Windows AMD and NVIDIA).
ZeroFS: A log-structured filesystem for S3. ZeroFS serves S3-compatible buckets as POSIX filesystems over NFS and 9P, or as raw block devices over NBD.
PantheonSim: GPU simulator for CUDA and ROCm. Run CUDA and HIP programs unmodified on a CPU, no GPU needed: simulated NVIDIA and AMD GPUs for development, teaching and CI.
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings
Evidence for defects in accelerator and beam-physics codes
Draw a pixel-art koi from a GitHub account's public activity, as a looping GIF for a profile README.
Nonlinear optics propagation code for mixed and cascaded nonlinearities.
Your laptop GPU never reaches its rated power. A hidden current limit holds it back. This lifts it live, without flashing the VBIOS.
Your GeForce runs AI at half speed. This fixes it for 20/30/40 series cards. Up to 2× FP16 / BF16 / TF32 tensor throughput
Tool for Rigorous Estimation of Round-Off Floating-Point Errors
A standard for floating point accuracy benchmarks
A spy satellite simulator in your browser, except the data is real. Live open source spatial intelligence on a photorealistic 3D globe.
Typeforge is a tool for type refactoring of C/C++ programs. It enables users to change the type of variables and determines all type-dependent changes that are necessary to ensure that the generate…
Configurable Runtime Analysis for Floating-point Tuning
Source-to-source floating-point tuning using CRAFT, ADAPT, and TypeForge
TypeForge: Synthesizing and Selecting Best-Fit Composite Data Types for Stripped Binaries (S&P 2025)
NERSC-managed tools and artifacts for AI coding agents.
Find the fewest bits a computation actually needs. Search-based floating-point precision tuning for bf16/fp8-era hardware.
Lightweight Benchmark Server for Agentic GPU Programming
A list of policies by different open source projects about how to engage with AI-generated contributions.
Foundation Models for Structured Data