SIMD + GPU + FPGA + ASIC stuff for AI/ML. I wrote the original PyTorch GPU backend, GPU Faiss, and many other AI GPU things broadly in use across the industry.
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Meta Fundamental AI Research (FAIR)
- Jackson, WY
- https://www.linkedin.com/in/jeff-johnson-698a822/
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facebookresearch/deepfloat
facebookresearch/deepfloat Public archiveAn exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
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facebookresearch/faiss
facebookresearch/faiss PublicA library for efficient similarity search and clustering of dense vectors.
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pytorch/pytorch
pytorch/pytorch PublicTensors and Dynamic neural networks in Python with strong GPU acceleration
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facebookresearch/dietgpu
facebookresearch/dietgpu PublicGPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
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facebookresearch/any4
facebookresearch/any4 PublicQuantize transformers to any learned arbitrary 4-bit numeric format
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