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05/22/2023
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
Machine Learning (ML) models contain highly-parallel computations, such ...
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04/07/2023
Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions
Large language models (LLMs), such as OpenAI's Codex, have demonstrated ...
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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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11/18/2020
Gender Transformation: Robustness of GenderDetection in Facial Recognition Systems with variation in Image Properties
In recent times, there have been increasing accusations on artificial in...
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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