Garth A. Gibson

Carnegie Mellon University — United States

Computer Science · Physical Sciences

67h-index19.1kcitations289works0.02yr avg
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Research Topics

Advanced Data Storage Technologies(197), Parallel Computing and Optimization Techniques(89), Distributed systems and fault tolerance(78), Distributed and Parallel Computing Systems(77), Caching and Content Delivery(65)

Publications289 total

DeltaFS: a scalable no-ground-truth filesystem for massively-parallel computing
IEEE International Conference on High Performance Computing, Data, and Analytics·2021· 5 cited
File system virtual appliances: Portable file system implementations
Carolina Digital Repository (University of North Carolina at Chapel Hill)·2021· 1 citedOpen Access
Building A Research Partnership Between Computer Scientists and Health Service Researchers for Access and Analysis of Population-Level Health Datasets
International Journal for Population Data Science·2020· 3 citedOpen Access
Streaming Data Reorganization at Scale with DeltaFS Indexed Massive Directories
ACM Transactions on Storage·2020· 4 citedOpen Access
Mochi: Composing Data Services for High-Performance Computing Environments
Journal of Computer Science and Technology·2020· 80 citedOpen Access
Building a research partnership between computer scientists and health service researchers for access and analysis of population-level health datasets: what are we learning?
International Journal for Population Data Science·2019Open Access
Compact Filters for Fast Online Data Partitioning
2019
Male-swarm sound as a species-specific cue for females prior to entering the swarm
SPIRE - Sciences Po Institutional REpository·2019
Workflow Trace Archive LANL_Mustang trace
Figshare·2019Open Access
Workflow Trace Archive LANL_Trinity trace
2019
Workflow Trace Archive LANL_Trinity trace
Figshare·2019· 1 citedOpen Access
Workflow Trace Archive LANL_Trinity trace
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
Workflow Trace Archive LANL_Mustang trace
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
Priority-based Parameter Propagation for Distributed DNN Training
arXiv (Cornell University)·2019· 42 citedOpen Access
MLSys: The New Frontier of Machine Learning Systems
arXiv (Cornell University)·2019· 21 citedOpen Access
Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory
2019· 8 citedOpen Access
STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model.
USENIX Annual Technical Conference·2019· 4 cited
Scaling Embedded In-Situ Indexing with DeltaFS
2018· 29 cited
Approaches to Capacity Building for Machine Learning and Artificial Intelligence Applications in Health
International Journal for Population Data Science·2018Open Access
On the diversity of cluster workloads and its impact on research results
USENIX Annual Technical Conference·2018· 77 cited
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Frequent Co-authors

Gregory R. Ganger(9), David A. Patterson(8), Randy H. Katz(7), Bianca Schroeder(5), Jim Zelenka(5), Qirong Ho(5), Eric P. Xing(5), Erik Riedel(5), Russel H. Patterson(4), Henggang Cui(4), Seunghak Lee(4), Phillip B. Gibbons(4), David F. Nagle(4), Khalil Amiri(4), Fay W. Chang(4), Kai Ren(4), James Cipar(3), Vijay Vasudevan(3), Amar Phanishayee(3), Elie Krevat(3)