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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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04/07/2022
Accelerating Attention through Gradient-Based Learned Runtime Pruning
Self-attention is a key enabler of state-of-art accuracy for various tra...
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04/11/2020
Bit-Parallel Vector Composability for Neural Acceleration
Conventional neural accelerators rely on isolated self-sufficient functi...
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06/27/2019