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/deepfloatfacebookresearch/deepfloat Public archiveAn exploration of log domain "alternative floating point" for hardware ML/AI accelerators. 
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  facebookresearch/faissfacebookresearch/faiss PublicA library for efficient similarity search and clustering of dense vectors. 
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  pytorch/pytorchpytorch/pytorch PublicTensors and Dynamic neural networks in Python with strong GPU acceleration 
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  facebookresearch/dietgpufacebookresearch/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/any4facebookresearch/any4 PublicQuantize transformers to any learned arbitrary 4-bit numeric format 
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