Sam Ade Jacobs

Orcid: 0000-0003-3425-5602

According to our database¹, Sam Ade Jacobs authored at least 25 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2023

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

[BibT_eX]

[DOI]

CoRR, 2023

ZeRO++: Extremely Efficient Collective Communication for Giant Model Training.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Enabling machine learning-ready HPC ensembles with Merlin.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

Scalable Composition and Analysis Techniques for Massive Scientific Workflows.

[BibT_eX]

[DOI]

Bronis R. de Supinski

Brian Van Essen

Jonathan E. Allen

Felice C. Lightstone

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2021

Learning Interpretable Models Through Multi-Objective Neural Architecture Search.

[BibT_eX]

[DOI]

Zachariah Carmichael

Tim Moon

Sam Ade Jacobs

CoRR, 2021

SUPER: SUb-Graph Parallelism for TransformERs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.

[BibT_eX]

[DOI]

Jayaraman J. Thiagarajan

IEEE Trans. Vis. Comput. Graph., 2020

2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.

[BibT_eX]

[DOI]

CoRR, 2019

Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency.

[BibT_eX]

[DOI]

CoRR, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.

[BibT_eX]

[DOI]

Jayaraman J. Thiagarajan

Shusen Liu

Peer-Timo Bremer

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2017

Towards Scalable Parallel Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning on HPC Environments, 2017

2016

Communication Quantization for Data-Parallel Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016

Graph-based clustering for detecting frequent patterns in event log data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

Large-Scale Industrial Alarm Reduction and Critical Events Mining Using Graph Analytics on Spark.

[BibT_eX]

[DOI]

Sam Ade Jacobs

Aldo Dagnino

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

2015

Industrial Analytics Pipelines.

[BibT_eX]

[DOI]

Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014

The anatomy of a distributed motion planning roadmap.

[BibT_eX]

[DOI]

Sam Ade Jacobs

Nancy M. Amato

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

Blind RRT: A probabilistically complete distributed RRT.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Adaptive neighbor connection for PRMs: A natural fit for heterogeneous environments and parallelism.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

A scalable distributed RRT for motion planning.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Local randomization in neighbor selection improves PRM roadmap quality.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

A scalable method for parallelizing sampling-based motion planning algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

ACM SRC poster: from days to seconds: scalable parallel algorithm for motion planning.

[BibT_eX]

[DOI]

Sam Ade Jacobs

Nancy M. Amato

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

Sam Ade Jacobs

Timeline

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On csauthors.net:

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