James Hegarty

According to our database1, James Hegarty authored at least 13 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
MODeL: Memory Optimizations for Deep Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays.
CoRR, 2022

A graph neural network-based performance model for deep learning applications.
Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

2021
HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware.
CoRR, 2021

Using Graph Neural Networks to model the performance of Deep Neural Networks.
CoRR, 2021

2018
Compiling Algorithms for Heterogeneous Systems
Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01758-2, 2018

2017
Rigel: flexible multi-rate image processing hardware.
PhD thesis, 2017

2016
Rigel: flexible multi-rate image processing hardware.
ACM Trans. Graph., 2016

2014
Darkroom: compiling high-level image processing code into hardware pipelines.
ACM Trans. Graph., 2014

2013
Stylizing animation by example.
ACM Trans. Graph., 2013

Terra: a multi-stage language for high-performance computing.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013

2010
Reducing shading on GPUs using quad-fragment merging.
ACM Trans. Graph., 2010

2008
Geometric and path tracing methods for simulating light transport through volumes of water particles.
ACM Crossroads, 2008


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