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Jaime Cernuda

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

Jaime Cernuda

Research Interests​

  • Distributed Systems
  • HPC
  • Streaming Applications

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. Ye,
J. Cernuda,
A. Maurya,
X.-H. Sun,
A. Kougkas,
B. Nicolae		Characterizing the Behavior and Impact of KV Caching on Transformer Inferences under ConcurrencyThe 39th IEEE International Parallel & Distributed Processing Symposium (IPDPS 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
M. Tang,
J. Cernuda,
J. Ye,
L. Guo,
N. Tallent,
A. Kougkas,
X.-H. Sun		DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics2024 IEEE International Conference on Cluster Computing (CLUSTER'24)ConferenceSeptember, 2024
J. Cernuda,
J. Ye,
A. Kougkas,
X.-H. Sun		HStream: A hierarchical data streaming engine for high-throughput scientific applicationsThe 53th International Conference on Parallel Processing (ICPP'24)ConferenceAugust, 2024
J. Ye,
J. Cernuda,
N. Rajesh,
K. Bateman,
O. Yildiz,
T. Peterka,
A. Nigmetov,
D. Morozov,
A. Kougkas,
X.-H. Sun,
B. Nicolae		Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network ModelsThe 53th International Conference on Parallel Processing (ICPP'24)ConferenceAugust, 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
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
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
A. Kougkas,
H. Devarajan,
K. Bateman,
J. Cernuda,
N. Rajesh,
X.-H. Sun		ChronoLog: A Distributed Shared Tiered Log Store with Time-based Data OrderingThe 36th International Conference on Massive Storage Systems and Technology (MSST'20), Oct. 29-30, 2020ConferenceOctober, 2020
J. Cernuda,
H. Trivino,
H. Devarajan,
A. Kougkas,
X.-H. Sun		Efficient Data Eviction across Multiple Tiers of StorageThe International Conference for High Performance Computing, Networking, Storage and Analysis (SC'19)PosterNovember, 2019