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05/07/2023
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
The emergence of large language models has led to the development of pow...
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06/08/2022
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations
In this paper, we present a work in progress about a deep learning based...
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11/23/2021
Caviar: An E-graph Based TRS for Automatic Code Optimization
Term Rewriting Systems (TRSs) are used in compilers to simplify and prov...
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04/11/2021
A Deep Learning Based Cost Model for Automatic Code Optimization
Enabling compilers to automatically optimize code has been a longstandin...
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07/02/2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Machine learning (ML) models are widely used in many domains including m...
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05/07/2020
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
In this paper, we demonstrate a compiler that can optimize sparse and re...
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05/02/2018
GraphIt - A High-Performance DSL for Graph Analytics
The performance bottlenecks of graph applications depend not only on the...
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04/27/2018
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
This paper introduces Tiramisu, a polyhedral framework designed to gener...
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04/27/2018
Tiramisu: A Code Optimization Framework for High Performance Systems
This paper introduces Tiramisu, an optimization framework designed to ge...
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02/28/2018
