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08/23/2023
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators
Parameterizable machine learning (ML) accelerators are the product of re...
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06/29/2023
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations
Today's performance analysis frameworks for deep learning accelerators s...
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03/06/2023
Domain-Specific Computational Storage for Serverless Computing
While (1) serverless computing is emerging as a popular form of cloud ex...
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06/27/2019
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic
Low-power potential of mixed-signal design makes it an alluring option t...
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11/05/2018
