Computer Systems Genome

About CSG

CSG Team Picture

Mission

Since the dawn of computing, the world has tracked system performance. Yet, computer system performance data is still primarily siloed by benchmark, system, or system component. The Mission of the Computer Systems Genome Project (CSGenome) is to conduct the first scientific effort to catalog the lineage of computer system performance over time to enable knowledge discovery and further understanding of the impact of computing innovations on transformative technologies, the knowledge-based economy, and societal change.

The CSGenome Project is led by Professors Kirk W. Cameron (PI), Godmar Back (co-PI and Technical Advisor), and Margaret Ellis (co-PI and Team Leader) and an extremely talented and highly diverse group of more than a dozen Virginia Tech undergraduate and graduate students.

Data Sources

The data used to create the lineage is drawn from a number of sources, including:

CSG Team - Students

Current Students

Nicolas Hardy
Spring 2018 - Present
Leads overall design: data collection, data cleaning, database design and storage, API development, testing, front end website, and data visualizations
Sam Furman
Spring 2018 - Present
Leads data collection, data cleaning, testing, and data analysis and visualization; leader in genome lineage determination
Eles Jones
Spring 2019 - Present
Integrated systems lineage repository(iLORE), API development, data visualization, and lineage determination
Tanvi Haldankar
Spring 2019 - Present
Memory data collection, data visualization, and lineage determination
Hamsa Mani
Spring 2019 - Present
GPU data collection and data visualizations
Lalitha Kuppa
Fall 2019 - Present
Memory data collection
Analisa Wu
Fall 2019 - Present
GPU data collection
Samie Amriui
Fall 2019 - Present
Frontend Visualizations
Shorya Malhotra
Fall 2019 - Present
GPU data collection and database design
Honghao "Simon" Zhang
Fall 2019 - Present
Frontend development and maintenance
Skylar Liang
Summer 2020 - Present
API development
Lucy Paul
Summer 2020 - Present
API development
Camellia Pastore
Summer 2020 - Present
Outreach
Allison DeSantis
Summer 2020 - Present
Outreach
Cesar Smokowski
Summer 2020 - Present
Outreach
Aparna Ganesh
Fall 2020 - Present
Frontend visualizations
Nuvya Baliyan
Fall 2020 - Present
Analysis and outreach
Catherine Lee
Fall 2020 - Present
Frontend visualizations
Jianna George
Fall 2020 - Present
Analysis and outreach
Ryan Gnaidek
Fall 2020 - Present
API development and outreach

Previous Students

Chandler Jearls
Fall 2017 - Fall 2019
Data collection and data cleaning; leader in genome lineage determination
Zoe Smith
Spring 2018 - Fall 2018
Integrated systems lineage repository(iLORE), data collection, and cleaning
Jiayi "JW" Lee
Spring 2018 - Fall 2019
Assisted with overall project management; data collection, data cleaning, website and interactive data visualization
Quyen "Liz" Dao
Spring 2018 - Fall 2019
Data collection, data cleaning, data analysis, and mentoring newer members
Luke McCormick
Spring 2018 - Spring 2019
Integrated systems lineage repository(iLORE) data collection and cleaning
Grayson Stone
Spring 2019 - Spring 2020
Data collection, data cleaning, API development, testing, and logo design
Thomas Szydlowski
Spring 2019 - Spring 2020
Data collection, data cleaning, and testing
Sameer Dandekar
Fall 2019 - Spring 2020
Data collection, data cleaning, and testing
Kenneth Powell
Fall 2019 - Spring 2020
Machine learning
Zeke Lin
Fall 2019
Website development and visualizations

CSG Team - Faculty

Kirk W. Cameron, Ph.D.
Professor of Computer Science and a Research Fellow in the College of Engineering at Virginia Tech. The central theme of his research is to improve power and performance efficiency in high performance computing (HPC) systems and applications. Accolades for his work include NSF and DOE Career Awards, IBM and AMD Faculty Awards, and being named Innovator of the Week by Bloomberg Businessweek Magazine. In 2017-2018, Prof. Cameron held a Distinguished Visiting Fellowship at Queen’s University Belfast from the U.K. Royal Academy of Engineering. He is Director of the stack@cs Center for Computer Systems and the Scalable Performance Laboratory. Kirk is overall VarSys project lead PI and heads the HPC Systems Team.
Margaret Ellis, M.S.
Associate Professor of the Practice of Computer Science in the College of Engineering at Virginia Tech. As a passionate teacher of key courses such as problem solving and data structures, her work lies at the intersection of computer science research, computer science education, and challenges of diversity and inclusion in the field. Among other accolades for her teaching efforts she was awarded the 2015 Engineering Inclusive Teaching (EIT) Inclusive Educators Award by Women in Engineering ProActive Network (WEPAN). An accomplished entrepreneur and innovator, she received related awards from the regional Roanoke Blacksburg Technology Council in 2010 and 2011 respectively. Margaret contributes substantially to the outreach efforts in the VarSys project and currently leads the Data Analysis and Classification Team of undergraduates creating new protocols for classifying systems for variability.
Godmar Back, Ph.D.
Associate Professor of Computer Science in the College of Engineering at Virginia Tech. His research primarily focuses on computer operating systems while his interests also include collaborative work in computer science education and the library sciences. Accolades for his research include the NSF Career Award. For his educational efforts, he was awarded the 2018 ICPC Foundation Coach Award recognizing mentoring excellence resulting in 5 teams in 6 years competing in the World Finals. He leads the Systems Software Laboratory at Virginia Tech.

Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant Nos. CNS 1565314 and CNS 1939076.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Contact Us

Have any inquiries/suggestion/corrections for our data? Email us at csgenome_website <at> googlegroups <dot> com