research
∙
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...
share
research
∙
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...
research
∙
03/06/2023
Domain-Specific Computational Storage for Serverless Computing
While (1) serverless computing is emerging as a popular form of cloud ex...
research
∙
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...
research
∙
11/05/2018