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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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05/07/2023
K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement
State-of-the-art hypergraph partitioners follow the multilevel paradigm,...
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04/26/2023
PROBE3.0: A Systematic Framework for Design-Technology Pathfinding with Improved Design Enablement
We propose a systematic framework to conduct design-technology pathfindi...
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02/21/2023