A tensor-compressed transformer training accelerator on FPGA that stores all parameters on-chip, claiming 20-51x memory reduction and up to 4x energy savings per epoch versus an RTX 3090.
DeepReach: a deep learning approach to high-dimensional reachability,
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Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization
A tensor-compressed transformer training accelerator on FPGA that stores all parameters on-chip, claiming 20-51x memory reduction and up to 4x energy savings per epoch versus an RTX 3090.