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Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack
Specialized accelerators for tensor-operations, such as blocked-matrix operations and multi-dimensional convolutions, have been emerged as powerful architecture choices for high-performance Deep-Learning computing.
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning
The key idea of LEAPER is to transfer an ML-based performance and resource usage model trained for a low-end edge environment to a new, high-end cloud environment to provide fast and accurate predictions for accelerator implementation.
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