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ThunderGBM: Fast GBDTs and Random Forests on GPUs
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
eBPF agent and MCP server for GPU causal observability
A dynamic binary instrumentation tool for tracing and analyzing CUDA kernel instructions.
CUDA kernels in any language supported by LLVM
Optimized vLLM deployment for NVIDIA Blackwell (RTX 5090) on Linux Kernel 6.14. Resolves SM_120 kernel incompatibilities, P2P deadlocks, and memory fragmentation for high-performance LLM inference.
GPU texture reservoir computing — fragment-shader cellular automata with linear readouts for image classification and PDE solving. Honest benchmarks, CPU/OpenGL/CUDA backends.