Sam Ade Jacobs

Orcid: 0000-0003-3425-5602

According to our database¹, Sam Ade Jacobs authored at least 31 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training.

[BibT_eX]

[DOI]

CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

[BibT_eX]

[DOI]

Caio César Teodoro Mendes

CoRR, 2024

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

[BibT_eX]

[DOI]

Reza Yazdani Aminadabi

Shuaiwen Leon Song

Samyam Rajbhandari

Yuxiong He

Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing, 2024

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

[BibT_eX]

[DOI]

Reza Yazdani Aminabadi

Shuaiwen Leon Song

Samyam Rajbhandari

Yuxiong He

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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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