AICL-Lab
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diy-flash-attention
diy-flash-attention PublicLearn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs
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Repositories
- fq-compressor-rust Public
High-performance FASTQ compressor with block-indexed archive format, random access support, and multiple compression modes
AICL-Lab/fq-compressor-rust’s past year of commit activity - cuflash-attn Public
CUDA C++ FlashAttention reference implementation - O(N) memory, FP32/FP16, forward/backward
AICL-Lab/cuflash-attn’s past year of commit activity - mini-inference-engine Public
CUDA GEMM optimization tutorial and mini inference engine with progressive kernels, benchmarks, and OpenSpec docs
AICL-Lab/mini-inference-engine’s past year of commit activity - tiny-llm Public
CUDA-native C++ Transformer inference engine with W8A16 quantization, KV cache management, and optimized CUDA kernels
AICL-Lab/tiny-llm’s past year of commit activity - hetero-paged-infer Public
High-Performance LLM Inference Engine with PagedAttention & Continuous Batching in Rust
AICL-Lab/hetero-paged-infer’s past year of commit activity - gpu-spmv Public
High-Performance CUDA Sparse Matrix-Vector Multiplication Library • 70%+ bandwidth utilization • 4 optimized kernels • Spec-Driven Development
AICL-Lab/gpu-spmv’s past year of commit activity - mini-opencv Public
CUDA-accelerated GPU image processing library. 30-50x faster than CPU OpenCV. High-performance operators for computer vision: convolution, morphology, filters, geometric transforms, and more.
AICL-Lab/mini-opencv’s past year of commit activity - ai-system-optimization-series Public
从编译器优化到 GPU 内核开发 — AI 基础设施工程师综合学习资源 | TVM, ONNX Runtime, CUTLASS, Triton
AICL-Lab/ai-system-optimization-series’s past year of commit activity - gpu-fft Public
High-performance GPU-accelerated FFT library for JavaScript/TypeScript using WebGPU compute shaders. Zero runtime dependencies, dual GPU/CPU paths, TypeScript-first.
AICL-Lab/gpu-fft’s past year of commit activity
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