LLVM based static binary analysis framework
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Updated
Aug 15, 2026 - C++
LLVM based static binary analysis framework
NVIDIA-accelerated, deep learned model support for image space object detection
NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU
Binary Ninja plugin that can be used to apply Triton's dead store eliminitation pass on basic blocks or functions.
Standalone static version of Triton's x86/x64 translator
COIN Attacks: on Insecurity of Enclave Untrusted Interfaces in SGX - ASPLOS 2020
Adaptive Callsite-sensitive Control Flow Integrity - EuroS&P'19
Sydr benchmark applications
Triton backend for https://github.com/OpenNMT/CTranslate2
TensorFlow Lite backend with ArmNN delegate support for Nvidia Triton
pluggable tool to convert an unrolled TritonAST to LLVM-IR, optimize it and get back to TritonAST
MLModelService wrapping Nvidia's Triton Server
Custom CUDA & Triton fused layers for self-stabilizing transformer architectures. Accelerate forward/backward passes and prevent gradient explosions in large-scale LLM training.
FlashAttention from scratch in CUDA: exact attention, tiled through SRAM, N×N score matrix never materialized
Threads, concurrent programming, Triton & CUDA Kernels, all in one.
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