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Steven A. Grosz - IEEE Xplore Author Profile
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Steven A. Grosz

Also published under: Steven Grosz

Publications
18
Citations
167
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (17)
Image of author Steven A. Grosz

Steven A. Grosz

Also published under: Steven Grosz

Affiliation

Department of Computer Science and Engineering
Michigan State University
East Lansing, MI, USA

Publication Topics

Biography

Steven A. Grosz received the B.S. degree in electrical engineering from Michigan State University, East Lansing, Michigan, in 2019, where he is currently pursuing the Ph.D. degree with the Department of Computer Science and Engineering. His primary research interests are in the areas of machine learning and computer vision with applications in biometrics.(Based on document published on 15 December 2022).
Publications
18
Citations
167
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (17)
Author's Published Works

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An Analysis of Research Data Storage Systems

Jake Carroll;David Abramson;Bronis R. de Supinski

2024 IEEE 20th International Conference on e-Science (e-Science)
Year: 2024 | Conference Paper |
The scientific protocols, experiments and instruments that generate data are an integral part of the research lifecycle. Consequently, almost every scientific research institution requires a Research Data Storage System (RDSS). However, RDSS implementations vary significantly due to factors that include cost, geography, workloads, policy, risk tolerance and available technical skills. A RDSS may b...Show More

An Analysis of Research Data Storage Systems

Jake Carroll;David Abramson;Bronis R. de Supinski

Year: 2024 | Conference Paper |

Why We Need a Reference Architecture for Research Data

David Abramson;Luc Betbeder-Matibet;Stephen Bird;Jake Carroll;Rhys Francis;Wojtek Goscinski;Ai-Lin Soo;Garry Swan;Carmel Walsh;Glenn Wightwick;J Max Wilkinson

2023 IEEE 19th International Conference on e-Science (e-Science)
Year: 2023 | Conference Paper |
There is little doubt that we have entered an era where data underpins modern science and research in general. In support of this, numerous infrastructures have been designed and built, ranging from proprietary on-prem systems through to distributed commercial clouds. Such implementations provide a range of functions during the research lifecycle from provisioning and cataloguing data assets throu...Show More

Why We Need a Reference Architecture for Research Data

David Abramson;Luc Betbeder-Matibet;Stephen Bird;Jake Carroll;Rhys Francis;Wojtek Goscinski;Ai-Lin Soo;Garry Swan;Carmel Walsh;Glenn Wightwick;J Max Wilkinson

Year: 2023 | Conference Paper |

Accidental Translationists: A Perspective From the Trenches

Manish Parashar;David Abramson

Computing in Science & Engineering
Year: 2022 | Volume: 24, Issue: 4 | Magazine Article |
Cited by: Papers (1)
Much of computer science research can benefit from the Translational Computing Science paradigm, which bridges foundational, use-inspired, and applied research with the delivery and deployment of its outcomes and supports essential bidirectional interplays. However, its wide adoption continues to face multiple challenges and roadblocks. This paper uses the perspectives and experiences of two accid...Show More

Accidental Translationists: A Perspective From the Trenches

Manish Parashar;David Abramson

Year: 2022 | Volume: 24, Issue: 4 | Magazine Article |

Democratising large scale instrument-based science through e-Infrastructure

David Abramson;Deborah S. Barkauskas;Jake Carroll;Nicholas D Condon;Naphak Modhiran;Hoang Nguyen;James Springfield;Daniel Watterson;Chao Jin

2022 IEEE 18th International Conference on e-Science (e-Science)
Year: 2022 | Conference Paper |
Modern scientific instruments are becoming essential for discoveries because they provide unprecedented insight into physical or biological events – often in real time. However, these instruments may generate large amounts of data, and increasingly they require sophisticated e-infrastructure for analysis, storage and archive. The increasing complexity and scale of the data, processing steps and sy...Show More

Democratising large scale instrument-based science through e-Infrastructure

David Abramson;Deborah S. Barkauskas;Jake Carroll;Nicholas D Condon;Naphak Modhiran;Hoang Nguyen;James Springfield;Daniel Watterson;Chao Jin

Year: 2022 | Conference Paper |

On identifying statistical redundancy at the level of amino acid subsequences

Sandun Rajapaksa;Dinithi Sumanaweera;Maria Garcia de La Banda;Peter Stuckey;David Abramson;Lloyd Allison;Arthur Lesk;Arun Konagurthu

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2021 | Conference Paper |
This paper presents a framework to characterize and identify local sequences of proteins that are statistically redundant under the measure of Shannon information content while accounting for variations in their occurrences over evolutionary insertions, deletions, and substitutions of amino acids. The identification of such local sequences provides insights for downstream studies on proteins. Here...Show More

On identifying statistical redundancy at the level of amino acid subsequences

Sandun Rajapaksa;Dinithi Sumanaweera;Maria Garcia de La Banda;Peter Stuckey;David Abramson;Lloyd Allison;Arthur Lesk;Arun Konagurthu

Year: 2021 | Conference Paper |

Tracking scientific simulation using online time-series modelling

Minh Ngoc Dinh;Chien Trung Vo;David Abramson

2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
The increase in compute power and complexity of supercomputing systems requires the decrease in the feature size and the supply voltage of internal components. Such development makes unintended errors such as soft errors, potentially caused by random bit flips, inevitable because of the huge size of the resources (such as CPU cores and memory). In this paper, we discuss a non-parametric statistica...Show More

Tracking scientific simulation using online time-series modelling

Minh Ngoc Dinh;Chien Trung Vo;David Abramson

Year: 2020 | Conference Paper |

Translational Research in Computer Science

David Abramson;Manish Parashar

Computer
Year: 2019 | Volume: 52, Issue: 9 | Magazine Article |
Cited by: Papers (23)
There are benefits to formalizing translational computer science (TCS) to complement traditional modes of computer science research, as has been done for translational medicine. TCS has the potential to accelerate the impact of computer science research overall.Show More

Translational Research in Computer Science

David Abramson;Manish Parashar

Year: 2019 | Volume: 52, Issue: 9 | Magazine Article |

Energy Efficiency Modeling of Parallel Applications

Mark Endrei;Chao Jin;Minh Ngoc Dinh;David Abramson;Heidi Poxon;Luiz DeRose;Bronis R. de Supinski

SC18: International Conference for High Performance Computing, Networking, Storage and Analysis
Year: 2018 | Conference Paper |
Cited by: Papers (10)
Energy efficiency has become increasingly important in high performance computing (HPC), as power constraints and costs escalate. Workload and system characteristics form a complex optimization search space in which optimal settings for energy efficiency and performance often diverge. Thus, we must identify trade-off options for performance and energy efficiency to find the desired balance between...Show More

Energy Efficiency Modeling of Parallel Applications

Mark Endrei;Chao Jin;Minh Ngoc Dinh;David Abramson;Heidi Poxon;Luiz DeRose;Bronis R. de Supinski

Year: 2018 | Conference Paper |

A Metropolitan Area Infrastructure for Data Intensive Science

David Abramson;Jake Carroll;Chao Jin;Michael Mallon

2017 IEEE 13th International Conference on e-Science (e-Science)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
The increasing amount of data being collected from simulations, instruments and sensors creates challenges for existing e-Science infrastructure. In particular, it requires new ways of storing, distributing and processing data in order to cope with both the volume and velocity of the data. The University of Queensland has recently designed and deployed MeDiCI, a data fabric that spans the metropol...Show More

A Metropolitan Area Infrastructure for Data Intensive Science

David Abramson;Jake Carroll;Chao Jin;Michael Mallon

Year: 2017 | Conference Paper |

A Computational Pipeline for the IUCN Risk Assessment for Meso-American Reef Ecosystem

Hoang Anh Nguyen;Lucie Bland;Tristan Roberts;Siddeswara Guru;Minh Dinh;David Abramson

2017 IEEE 13th International Conference on e-Science (e-Science)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Coral reefs are of global economic and biological significance but are subject to increasing threats. As a result, it is essential to understand the risk of coral reef ecosystem collapse and to develop assessment process for those ecosystems. The International Union for Conservation of Nature (IUCN) Red List of Ecosystem (RLE) is a framework to assess the vulnerability of an ecosystem. Importantly...Show More

A Computational Pipeline for the IUCN Risk Assessment for Meso-American Reef Ecosystem

Hoang Anh Nguyen;Lucie Bland;Tristan Roberts;Siddeswara Guru;Minh Dinh;David Abramson

Year: 2017 | Conference Paper |

Statistical Compression of Protein Folding Patterns for Inference of Recurrent Substructural Themes

Ramanan Subramanian;Lloyd Allison;Peter J. Stuckey;Maria Garcia de la Banda;David Abramson;Arthur M. Lesk;Arun S. Konagurthu

2017 Data Compression Conference (DCC)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
Computational analyses of the growing corpus of three-dimensional (3D) structures of proteins have revealed a limited set of recurrent substructural themes, termed super-secondary structures. Knowledge of super-secondary structures is important for the study of protein evolution and for the modeling of proteins with unknown structures. Characterizing a comprehensive dictionary of these super-secon...Show More

Statistical Compression of Protein Folding Patterns for Inference of Recurrent Substructural Themes

Ramanan Subramanian;Lloyd Allison;Peter J. Stuckey;Maria Garcia de la Banda;David Abramson;Arthur M. Lesk;Arun S. Konagurthu

Year: 2017 | Conference Paper |

Runtime Verification of Scientific Computing: Towards an Extreme Scale

Minh Ngoc Dinh;Chao Jin;David Abramson;Clinton L. Jeffery

2016 5th Workshop on Extreme-Scale Programming Tools (ESPT)
Year: 2016 | Conference Paper |
Relative debugging helps trace software errors by comparing two concurrent executions of a program - one code being a reference version and the other faulty. By locating data divergence between the runs, relative debugging is effective at finding coding errors when a program is scaled up to solve larger problem sizes or migrated from one platform to another. In this work, we envision potential cha...Show More

Runtime Verification of Scientific Computing: Towards an Extreme Scale

Minh Ngoc Dinh;Chao Jin;David Abramson;Clinton L. Jeffery

Year: 2016 | Conference Paper |

Keynote 2

David Abramson

2016 IEEE International Conference on Cluster Computing (CLUSTER)
Year: 2016 | Conference Paper |
Provides an abstract of the keynote presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.Show More

Keynote 2

David Abramson

Year: 2016 | Conference Paper |

FTS 2016 Workshop Keynote Speech

David Abramson

2016 IEEE International Conference on Cluster Computing (CLUSTER)
Year: 2016 | Conference Paper |
Provides an abstract of the keynote presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.Show More

FTS 2016 Workshop Keynote Speech

David Abramson

Year: 2016 | Conference Paper |

Relative debugging for a highly parallel hybrid computer system

Luiz DeRose;Andrew Gontarek;Aaron Vose;Robert Moench;David Abramson;Minh Ngoc Dinh;Chao Jin

SC '15: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Relative debugging traces software errors by comparing two executions of a program concurrently - one code being a reference version and the other faulty. Relative debugging is particularly effective when code is migrated from one platform to another, and this is of significant interest for hybrid computer architectures containing CPUs accelerators or coprocessors. In this paper we extend relative...Show More

Relative debugging for a highly parallel hybrid computer system

Luiz DeRose;Andrew Gontarek;Aaron Vose;Robert Moench;David Abramson;Minh Ngoc Dinh;Chao Jin

Year: 2015 | Conference Paper |

FlashLite: A High Performance Machine for Data Intensive Science

David Abramson

2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Data is predicted to transform the 21st century, fuelled by an exponential growth in the amount of data captured, generated and archived. Traditional high performance machines are optimized for numerical computing rather than IO performance or for supporting large memory applications. This paper discusses a new machine, called FlashLite, which addresses these challenges. The paper describes the mo...Show More

FlashLite: A High Performance Machine for Data Intensive Science

David Abramson

Year: 2015 | Conference Paper |

WorkWays: Interacting with Scientific Workflows

Hoang Anh Nguyen;David Abramson;Timoleon Kiporous;Andrew Janke;Graham Galloway

2014 9th Gateway Computing Environments Workshop
Year: 2014 | Conference Paper |
Cited by: Papers (4)
This paper presents WorkWays, a workflow-based science gateway that supports human-in-the-loop workflows. The computational steering capability of WorkWays has been used to solve a number of problems in which it is useful for users to study intermediate results and steer the computation. Two of those use cases are discussed in this paper.Show More

WorkWays: Interacting with Scientific Workflows

Hoang Anh Nguyen;David Abramson;Timoleon Kiporous;Andrew Janke;Graham Galloway

Year: 2014 | Conference Paper |

HCW 2014 Keynote Talk

David Abramson

2014 IEEE International Parallel & Distributed Processing Symposium Workshops
Year: 2014 | Conference Paper |
Summary form only given. CCDB, implements a strategy called "Comparative Debugging", which helps trace software errors by comparing two executions of a program at the same time - one code being a reference version and the other faulty. Specifically, users write "assertions" that detect when data structure contents in the two executions diverge, and using the dataflow of the code it is possible to ...Show More

HCW 2014 Keynote Talk

David Abramson

Year: 2014 | Conference Paper |

Scalable Relative Debugging

Minh Ngoc Dinh;David Abramson;Chao Jin

IEEE Transactions on Parallel and Distributed Systems
Year: 2014 | Volume: 25, Issue: 3 | Journal Article |
Cited by: Papers (6)
Detecting and isolating bugs that arise only at high processor counts is a challenging task. Over a number of years, we have implemented a special debugging method, called "relative debugging," that supports debugging applications as they evolve or are ported to larger machines. It allows a user to compare the state of a suspect program against another reference version even as the number of proce...Show More

Scalable Relative Debugging

Minh Ngoc Dinh;David Abramson;Chao Jin

Year: 2014 | Volume: 25, Issue: 3 | Journal Article |

Statistical Inference of Protein "LEGO Bricks"

Arun S. Konagurthu;Lloyd Allison;David Abramson;Peter J. Stuckey;Arthur M. Lesk

2013 IEEE 13th International Conference on Data Mining
Year: 2013 | Conference Paper |
Cited by: Papers (1)
Proteins are biomolecules of life. They fold into a great variety of three-dimensional (3D) shapes. Underlying these folding patterns are many recurrent structural fragments or building blocks (analogous to 'LEGO® bricks'). This paper reports an innovative statistical inference approach to discover a comprehensive dictionary of protein structural building blocks from a large corpus of experimental...Show More

Statistical Inference of Protein "LEGO Bricks"

Arun S. Konagurthu;Lloyd Allison;David Abramson;Peter J. Stuckey;Arthur M. Lesk

Year: 2013 | Conference Paper |

Integration of modern data management practice with scientific workflows

Neil E. B. Killeen;Jason M. Lohrey;Michael Farrell;Wilson Liu;Slavisa Garic;David Abramson;Hoang Nguyen;Gary Egan

2012 IEEE 8th International Conference on E-Science
Year: 2012 | Conference Paper |
Cited by: Papers (2)
Modern science increasingly involves managing and processing large amounts of distributed data accessed by global teams of researchers. To do this, we need systems that combine data, meta-data and workflows into a single system. This paper discusses such a system, built from a number of existing technologies. We demonstrate the effectiveness on a case study that analyses MRI data.Show More

Integration of modern data management practice with scientific workflows

Neil E. B. Killeen;Jason M. Lohrey;Michael Farrell;Wilson Liu;Slavisa Garic;David Abramson;Hoang Nguyen;Gary Egan

Year: 2012 | Conference Paper |

WorkWays: Interactive workflow-based science gateways

Hoang Nguyen;David Abramson

2012 IEEE 8th International Conference on E-Science
Year: 2012 | Conference Paper |
Cited by: Papers (8)
Workflow-based science gateways that bring the power of scientific workflows to the Web are becoming increasingly popular. Different IO models enabling interactions between a running workflow and web portal have been explored. However, these are typically not dynamic enough to allow users to insert data into, or export data out of, a continuously running workflow. In this paper, we present a novel...Show More

WorkWays: Interactive workflow-based science gateways

Hoang Nguyen;David Abramson

Year: 2012 | Conference Paper |

A Scalable Parallel Debugging Library with Pluggable Communication Protocols

Chao Jin;David Abramson;Minh Ngoc Dinh;Andrew Gontarek;Robert Moench;Luiz DeRose

2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Year: 2012 | Conference Paper |
Cited by: Papers (5)
Parallel debugging faces challenges in both scalability and efficiency. A number of advanced methods have been invented to improve the efficiency of parallel debugging. As the scale of system increases, these methods highly rely on a scalable communication protocol in order to be utilized in large-scale distributed environments. This paper describes a debugging middleware that provides fundamental...Show More

A Scalable Parallel Debugging Library with Pluggable Communication Protocols

Chao Jin;David Abramson;Minh Ngoc Dinh;Andrew Gontarek;Robert Moench;Luiz DeRose

Year: 2012 | Conference Paper |

Cyberinfrastructure Intership and its Application to e-Science

David Abramson;Peter Arzberger;Gabriele Wienhausen;Jim Galvin;Susumu Date;Fang-Pang Lin;Kai Nan;Shinji Shimojo

2011 IEEE Seventh International Conference on eScience
Year: 2011 | Conference Paper |
Cited by: Papers (1)
Universities are constantly searching for ways that prepare students as effective global professionals. At the same time, cyber infrastructure leverages computing, information, and communication technology to perform research, often in an international context. In this paper we discuss a novel model, called the Cyber infrastructure Internship Program (CIP), which serves both of these goals. Specif...Show More

Cyberinfrastructure Intership and its Application to e-Science

David Abramson;Peter Arzberger;Gabriele Wienhausen;Jim Galvin;Susumu Date;Fang-Pang Lin;Kai Nan;Shinji Shimojo

Year: 2011 | Conference Paper |

Integrating Scientific Workflows and Large Tiled Display Walls: Bridging the Visualization Divide

Hoang Nguyen;David Abramson;Blair Bethwaite;Minh Ngoc Dinh;Colin Enticott;Slavisa Garic;A.B.M. Russel;Stephen Firth;Ian Harper;Martin Lackmann;Mary Vail;Stefan Schek

2011 40th International Conference on Parallel Processing Workshops
Year: 2011 | Conference Paper |
Cited by: Papers (2)
Modern in-silico science (or e-Science) is a complex process, often involving multiple steps conducted across different computing environments. Scientific workflow tools help scientists automate, manage and execute these steps, providing a robust and repeatable research environment. Increasingly workflows generate data sets that require scientific visualization, using a range of display devices su...Show More

Integrating Scientific Workflows and Large Tiled Display Walls: Bridging the Visualization Divide

Hoang Nguyen;David Abramson;Blair Bethwaite;Minh Ngoc Dinh;Colin Enticott;Slavisa Garic;A.B.M. Russel;Stephen Firth;Ian Harper;Martin Lackmann;Mary Vail;Stefan Schek

Year: 2011 | Conference Paper |

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