Hybridized On-Premise and Cloud (HOPC) Deployment Experimentation with Bfloat16
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Updated
Apr 5, 2021
Hybridized On-Premise and Cloud (HOPC) Deployment Experimentation with Bfloat16
Round matrix elements to lower precision in MATLAB
A Pytorch implementation of stochastic addition.
A JAX implementation of stochastic addition.
IEEE 754-style floating-point converter
Comparison of vector element sum using various data types.
Basic linear algebra routines implemented using the chop rounding function
Comparison of PageRank algorithm using various datatypes.
Floating-Point Arithmetic Library for Z80
Customizable floating point types, with all standard floating point operations implemented from scratch.
A LLaMA2-7b chatbot with memory running on CPU, and optimized using smooth quantization, 4-bit quantization or Intel® Extension For PyTorch with bfloat16.
Half-precision floating point types f16 and bf16 for Rust.
oneAPI Deep Neural Network Library (oneDNN)
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