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11/25/2022
CodeExp: Explanatory Code Document Generation
Developing models that can automatically generate detailed code explanat...
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11/23/2021
Can Pre-trained Language Models be Used to Resolve Textual and Semantic Merge Conflicts?
Program merging is standard practice when developers integrate their ind...
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11/08/2021
Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL
Large ML models and datasets have necessitated the use of multi-GPU syst...
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09/20/2021
Neural Unit Test Suggestions
Testing is widely recognized as an important stage of the software devel...
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08/31/2021
MergeBERT: Program Merge Conflict Resolution via Neural Transformers
Collaborative software development is an integral part of the modern sof...
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05/17/2021
DeepMerge: Learning to Merge Programs
Program merging is ubiquitous in modern software development. Although c...
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05/12/2021
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
Recent trend towards increasing large machine learning models require bo...
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08/19/2020
Synthesizing Optimal Collective Algorithms
Collective communication algorithms are an important component of distri...
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06/04/2020
Scaling Distributed Training with Adaptive Summation
Stochastic gradient descent (SGD) is an inherently sequential training a...
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09/08/2019
Distributed Word2Vec using Graph Analytics Frameworks
Word embeddings capture semantic and syntactic similarities of words, re...
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10/01/2018
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs
Fully Homomorphic Encryption (FHE) refers to a set of encryption schemes...
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10/25/2017
High Five: Improving Gesture Recognition by Embracing Uncertainty
Sensors on mobile devices---accelerometers, gyroscopes, pressure meters,...
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05/22/2017
