Greg Eisenhauer

Greg Eisenhauer

Georgia Institute of Technology

H-index: 33

North America-United States

About Greg Eisenhauer

Greg Eisenhauer, With an exceptional h-index of 33 and a recent h-index of 12 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of High Performance Computing, Streaming Data, Flexible Communication, Enterprise.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context

RAI4IoE: Responsible AI for enabling the Internet of Energy

Exploring large all-flash storage system with scientific simulation

The Adaptable IO System (ADIOS)

Organizing large data sets for efficient analyses on HPC systems

Surfacing and Exploiting Metadata Relationships for Scalable Scientific Data Environments.

F*** workflows: when parts of FAIR are missing

Reusability first: Toward FAIR workflows

Greg Eisenhauer Information

University

Position

College of Computing

Citations(all)

3857

Citations(since 2020)

771

Cited By

3610

hIndex(all)

33

hIndex(since 2020)

12

i10Index(all)

73

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Greg Eisenhauer Skills & Research Interests

High Performance Computing

Streaming Data

Flexible Communication

Enterprise

Top articles of Greg Eisenhauer

Title

Journal

Author(s)

Publication Date

Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context

Ranjan Sarpangala Venkatesh

Greg Eisenhauer

Scott Klasky

Ada Gavrilovska

2023/11/12

RAI4IoE: Responsible AI for enabling the Internet of Energy

arXiv preprint arXiv:2309.11691

Minhui Xue

Surya Nepal

Ling Liu

Subbu Sethuvenkatraman

Xingliang Yuan

...

2023/9/20

Exploring large all-flash storage system with scientific simulation

Junmin Gu

Greg Eisenhauer

Scott Klasky

Norbert Podhorszki

Ruonan Wang

...

2022/7/6

The Adaptable IO System (ADIOS)

David Pugmire

Norbert Podhorszki

Scott Klasky

Matthew Wolf

James Kress

...

2022/5/5

Organizing large data sets for efficient analyses on HPC systems

Journal of Physics: Conference Series

Junmin Gu

Philip Davis

Greg Eisenhauer

William Godoy

Axel Huebl

...

2022/4/1

Surfacing and Exploiting Metadata Relationships for Scalable Scientific Data Environments.

Greg Eisenhauer

Jeremy Logan

Craig Ulmer

Patrick Widener

Matthew Wolf

2022/1/1

F*** workflows: when parts of FAIR are missing

Sean R Wilkinson

Greg Eisenhauer

Anuj J Kapadia

Kathryn Knight

Jeremy Logan

...

2022/10/11

Reusability first: Toward FAIR workflows

Matthew Wolf

Jeremy Logan

Kshitij Mehta

Daniel Jacobson

Mikaela Cashman

...

2021/9/7

Near-zero downtime recovery from transient-error-induced crashes

IEEE Transactions on Parallel and Distributed Systems

Chao Chen

Greg Eisenhauer

Santosh Pande

2021/7/9

Scheduling hpc workflows with intel optane persistent memory

Ranjan Sarpangala Venkatesh

Tony Mason

Pradeep Fernando

Greg Eisenhauer

Ada Gavrilovska

2021/6/17

Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2

Franz Poeschel

Juncheng E

William F Godoy

Norbert Podhorszki

Scott Klasky

...

2021/10/18

Data federation challenges in remote near-real-time fusion experiment data processing

Jong Choi

Ruonan Wang

R Michael Churchill

Ralph Kube

Minjun Choi

...

2020

Adios 2: The adaptable input output system. a framework for high-performance data management

SoftwareX

William F Godoy

Norbert Podhorszki

Ruonan Wang

Chuck Atkins

Greg Eisenhauer

...

2020/7/1

Extending the publish/subscribe abstraction for high-performance I/O and data management at extreme scale

Bulletin of the IEEE Technical Committee on Data Engineering

Jeremy Logan

Mark Ainsworth

Chuck Atkins

Jieyang Chen

Jong Youl Choi

...

2020/3/1

See List of Professors in Greg Eisenhauer University(Georgia Institute of Technology)

Co-Authors

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