Antonios Kougkas

Orcid: 0000-0003-3943-663X

According to our database1, Antonios Kougkas authored at least 35 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads.
ACM SIGOPS Oper. Syst. Rev., June, 2024

TunIO: An AI-powered Framework for Optimizing HPC I/O.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

HStream: A hierarchical data streaming engine for high-throughput scientific applications.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics.
Proceedings of the IEEE International Conference on Cluster Computing, 2024

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Systems.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Data Flow Lifecycles for Optimizing Workflow Coordination.
Proceedings of the International Conference for High Performance Computing, 2023

An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads.
Proceedings of the 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, 2023

2022
LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Stimulus: Accelerate Data Management for Scientific AI applications in HPC.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Apollo: : An ML-assisted Real-Time Storage Resource Observer.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

HFlow: A Dynamic and Elastic Multi-Layered I/O Forwarder.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Bridging Storage Semantics Using Data Labels and Asynchronous I/O.
ACM Trans. Storage, 2020

I/O Acceleration via Multi-Tiered Data Buffering and Prefetching.
J. Comput. Sci. Technol., 2020

HFetch: Hierarchical Data Prefetching for Scientific Workflows in Multi-Tiered Storage Environments.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

HCompress: Hierarchical Data Compression for Multi-Tiered Storage Environments.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

HCL: Distributing Parallel Data Structures in Extreme Scales.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

HReplica: A Dynamic Data Replication Engine with Adaptive Compression for Multi-Tiered Storage.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
LABIOS: A Distributed Label-Based I/O System.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

An Intelligent, Adaptive, and Flexible Data Compression Framework.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed Workflows.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
IRIS: I/O Redirection via Integrated Storage.
Proceedings of the 32nd International Conference on Supercomputing, 2018

Hermes: a heterogeneous-aware multi-tiered distributed I/O buffering system.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Vidya: Performing Code-Block I/O Characterization for Data Access Optimization.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

Harmonia: An Interference-Aware Dynamic I/O Scheduler for Shared Non-volatile Burst Buffers.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Rethinking key-value store for parallel I/O optimization.
Int. J. High Perform. Comput. Appl., 2017

2016
Towards Energy Efficient Data Management in HPC: The Open Ethernet Drive Approach.
Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016

Leveraging burst buffer coordination to prevent I/O interference.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015
Efficient disk-to-disk sorting: a case study in the decoupled execution paradigm.
Proceedings of the 2015 International Workshop on Data-Intensive Scalable Computing Systems, 2015

A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems.
Proceedings of the 44th International Conference on Parallel Processing, 2015

2014
Rethinking key-value store for parallel I/O optimization.
Proceedings of the 2014 International Workshop on Data Intensive Scalable Computing Systems, 2014


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