research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
04/11/2021
A Deep Learning Based Cost Model for Automatic Code Optimization
Enabling compilers to automatically optimize code has been a longstandin...
research
∙
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...
research
∙
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...
research
∙
05/02/2018
GraphIt - A High-Performance DSL for Graph Analytics
The performance bottlenecks of graph applications depend not only on the...
research
∙
04/27/2018
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
This paper introduces Tiramisu, a polyhedral framework designed to gener...
research
∙
04/27/2018
Tiramisu: A Code Optimization Framework for High Performance Systems
This paper introduces Tiramisu, an optimization framework designed to ge...
research
∙
02/28/2018