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05/17/2022
Learning-Augmented Streaming Codes are Approximately Optimal for Variable-Size Messages
Real-time streaming communication requires a high quality of service des...
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05/13/2022
Bandwidth Cost of Code Conversions in the Split Regime
Distributed storage systems must store large amounts of data over long p...
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04/19/2021
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs
Neural networks (NNs) are increasingly employed in domains that require ...
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04/05/2021
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
Deep-learning-based recommendation models (DLRMs) are widely deployed to...
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03/15/2021
PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy
Data redundancy provides resilience in large-scale storage clusters, but...
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08/28/2020
Bandwidth Cost of Code Conversions in Distributed Storage: Fundamental Limits and Optimal Constructions
Erasure codes have become an integral part of distributed storage system...
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06/04/2020
Online Versus Offline Rate in Streaming Codes for Variable-Size Messages
Providing high quality-of-service for live communication is a pervasive ...
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06/04/2020
Access-optimal Linear MDS Convertible Codes for All Parameters
In large-scale distributed storage systems, erasure codes are used to ac...
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02/06/2020
A locality-based approach for coded computation
Modern distributed computation infrastructures are often plagued by unav...
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07/30/2019
Convertible Codes: Efficient Conversion of Coded Data in Distributed Storage
Large-scale distributed storage systems typically use erasure codes to p...
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05/02/2019
Parity Models: A General Framework for Coding-Based Resilience in ML Inference
Machine learning models are becoming the primary workhorses for many app...
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06/04/2018
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation
Machine learning algorithms are typically run on large scale, distribute...
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05/07/2015