Meghan Cowan

According to our database, Meghan Cowan authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches.

Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

MSCCLang: Microsoft Collective Communication Language.

Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

MSCCL: Microsoft Collective Communication Library.

Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong

CoRR, 2022

2021

Automated Generation of Domain Specific Kernels.

Meghan Cowan

PhD thesis, 2021

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL.

Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh

CoRR, 2021

Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors.

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg

CoRR, 2021

Porcupine: a synthesizing compiler for vectorized homomorphic encryption.

Meghan Cowan, Deeksha Dangwal, Armin Alaghi, Caroline Trippel, Vincent T. Lee, Brandon Reagen

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Mitigating Reverse Engineering Attacks on Local Feature Descriptors.

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Riptide: Fast End-to-End Binarized Neural Networks.

Joshua Fromm, Meghan Cowan, Matthai Philipose, Luis Ceze, Shwetak N. Patel

Proceedings of Machine Learning and Systems 2020, 2020

SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing.

Deeksha Dangwal, Meghan Cowan, Armin Alaghi, Vincent T. Lee, Brandon Reagen, Caroline Trippel

Proceedings of the HASP@MICRO 2020: Hardware and Architectural Support for Security and Privacy, 2020

Automatic generation of high-performance quantized machine learning kernels.

Meghan Cowan, Thierry Moreau, Tianqi Chen, James Bornholt, Luis Ceze

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2018

Automating Generation of Low Precision Deep Learning Operators.

Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze

CoRR, 2018

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.

Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

2017

Exploring computation-communication tradeoffs in camera systems.

Amrita Mazumdar, Thierry Moreau, Sung Kim, Meghan Cowan, Armin Alaghi, Luis Ceze, Mark Oskin, Visvesh Sathe

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017