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distributed computing

98 papers

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Co-occurring keywords

distributed learning (563) parallel computing (146) straggler mitigation (22) model parallelism (43) parallel algorithm (79) distributed algorithm (79) matrix multiplication (41) coded computation (9) message passing (579) graph partitioning (65)

Papers

Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems CVPR 2022
Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021
An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models NAACL 2021
Communication-Efficient Distributed SVD via Local Power Iterations ICML 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021
Regularized Submodular Maximization at Scale ICML 2021
MilliSort and MilliQuery: Large-Scale Data-Intensive Computing in Milliseconds NSDI 2021
GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language NSDI 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021
TensorHive: Management of Exclusive GPU Access for Distributed Machine Learning Workloads JMLR 2021
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication ICML 2021
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning AAAI 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation NIPS 2020
Efficient Algorithms for Device Placement of DNN Graph Operators NIPS 2020
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020
Sol: Fast Distributed Computation Over Slow Networks NSDI 2020
Sample complexity bounds for localized sketching AISTATS 2020
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling IJCAI 2020
Distributed Minimum Error Entropy Algorithms JMLR 2020
Apache Mahout: Machine Learning on Distributed Dataflow Systems JMLR 2020
Distributed Feature Screening via Componentwise Debiasing JMLR 2020
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications ICML 2020
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020