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Luke Logan

Luke Logan is a PhD Candidate in the Department of Computer Science at the Illinois Institute of Technology and a member of the Gnosis Research Center. Luke Logan works under the guidance of Dr. Xian-He Sun.

Luke Logan

Research Interests

  • Distributed Storage
  • Parallel and Distributed Systems
  • Parallel I/O
  • Operating Systems

Publications

Authors
Title
Venue
Type
Date
Links
K. Bateman,
N. Rajesh,
J. Cernuda,
L. Logan,
B. Nicolae,
F. Cappello,
X.-H. Sun,
A. Kougkas
DTIO: Data Stack for AI-driven WorkflowsThe 37th International Conference on Scalable Scientific Data Management (SSDBM 2025)ConferenceJune, 2025TBA
J. Cernuda,
L. Logan,
N. Lewis,
S. Byna,
X.-H. Sun,
A. Kougkas
Jarvis: Towards a Shared, User-Friendly, and Reproducible, I/O Infrastructure.The International Parallel Data Systems Workshop (PDSW'24)WorkshopNovember, 2024
L. Logan,
X.-H. Sun,
A. Kougkas
MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive WorkloadsThe International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24)ConferenceNovember, 2024
L. Logan,
J. Lofstead,
A. Kougkas,
X.-H. Sun
An Evaluation of DAOS for Simulation and Deep Learning HPC WorkloadsSIGOPS Operating Systems Review (OSR'24)JournalJune, 2024
J. Cernuda,
L. Logan,
A. Gainaru,
J. Lofstead,
A. Kougkas,
X.-H. Sun
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data AnalysisThe 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGRID 2024)ConferenceMay, 2024
L. Logan,
J. Lofstead,
A. Kougkas,
X.-H. Sun
An Evaluation of DAOS for Simulation and Deep Learning HPC WorkloadsThe 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems (CHEOPS'23)WorkshopMay, 2023
K. Bateman,
N. Rajesh,
J. Cernuda,
L. Logan,
J. Ye,
S. Herbein,
A. Kougkas,
X.-H. Sun
LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage ServicesThe 29th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC'22)ConferenceDecember, 2022
L. Logan,
J. Cernuda,
J. Lofstead,
X.-H. Sun,
A. Kougkas
LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in UserspaceThe International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'22)ConferenceNovember, 2022
L. Logan,
J. Lofstead,
S. Levy,
P. Widener,
X.-H. Sun,
A. Kougkas
Utilizing Persistent Memory in Parallel I/O LibrariesThe 2021 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'21), November 14–19, 2021PosterNovember, 2021
L. Logan,
J. Lofstead,
S. Levy,
P. Widener,
X.-H. Sun,
A. Kougkas
pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memoryThe 1st Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO'21), in conjunction with the 2021 IEEE International Conference on Cluster Computing (CLUSTER'21), September 7-10, 2021WorkshopSeptember, 2021
J. Cernuda,
H. Devarajan,
L. Logan,
K. Bateman,
N. Rajesh,
J. Ye,
A. Kougkas,
X.-H. Sun
HFlow: A Dynamic and Elastic Multi-Layered Data ForwarderThe 2021 IEEE International Conference on Cluster Computing (CLUSTER'21), September 7-10, 2021ConferenceSeptember, 2021
N. Rajesh,
H. Devarajan,
J. Cernuda,
K. Bateman,
L. Logan,
J. Ye,
A. Kougkas,
X.-H. Sun
Apollo: An ML-assisted Real-Time Storage Resource ObserverThe 30th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'21), June 21-25, 2021ConferenceJune, 2021
L. Logan,
A. Kougkas,
X.-H. Sun
Quantifying the Overheads of the Modern Linux I/O StackThe International Conference for High Performance Computing, Networking, Storage and Analysis (SC'20)PosterNovember, 2020
H. Devarajan,
A. Kougkas,
L. Logan,
X.-H. Sun
HCompress: Hierarchical Data Compression for Multi-Tiered Storage EnvironmentsIEEE International Parallel and Distributed Processing Symposium (IPDPS'20), May 18-22, 2020ConferenceMay, 2020