Anastasios Papagiannis

Orcid: 0000-0003-1568-9157

According to our database1, Anastasios Papagiannis authored at least 23 papers between 2010 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2021
Kreon: An Efficient Memory-Mapped Key-Value Store for Flash Storage.
ACM Trans. Storage, 2021

Freeing Compute Caches from Serialization and Garbage Collection in Managed Big Data Analytics.
CoRR, 2021

Balancing Garbage Collection vs I/O Amplification using hybrid Key-Value Placement in LSM-based Key-Value Stores.
CoRR, 2021

Memory-mapped I/O on steroids.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

Parallax: Hybrid Key-Value Placement in LSM-based Key-Value Stores.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020
Memory-mapped I/O for Fast Storage
PhD thesis, 2020

Power and Performance Analysis of Persistent Key-Value Stores.
CoRR, 2020

VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores.
CoRR, 2020

Optimizing Memory-mapped I/O for Fast Storage Devices.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Say Goodbye to Off-heap Caches! On-heap Caches Using Memory-Mapped I/O.
Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

HugeMap: Optimizing Memory-Mapped I/O with Huge Pages for Fast Storage.
Proceedings of the Euro-Par 2020: Parallel Processing Workshops, 2020

2019

2018
An Efficient Memory-Mapped Key-Value Store for Flash Storage.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2016
Iris: An optimized I/O stack for low-latency storage devices.
ACM SIGOPS Oper. Syst. Rev., 2016

Tucana: Design and Implementation of a Fast and Efficient Scale-up Key-value Store.
Proceedings of the 2016 USENIX Annual Technical Conference, 2016

User-Space I/O for µ s-level Storage Devices.
Proceedings of the High Performance Computing, 2016


2014
Hybrid address spaces: A methodology for implementing scalable high-level programming models on non-coherent many-core architectures.
J. Syst. Softw., 2014

Jericho: Achieving scalability through optimal data placement on multicore systems.
Proceedings of the IEEE 30th Symposium on Mass Storage Systems and Technologies, 2014

Vanguard: Increasing Server Efficiency via Workload Isolation in the Storage I/O Path.
Proceedings of the ACM Symposium on Cloud Computing, 2014

2011
Scalable Runtime Support for Data Intensive Applications on the Single Chip Cloud Computer.
Proceedings of the 3rd Many-core Applications Research Community (MARC) Symposium. Proceedings of the 3rd MARC Symposium, 2011

2010
Rearchitecting MapReduce for Heterogeneous Multicore Processors with Explicitly Managed Memories.
Proceedings of the 39th International Conference on Parallel Processing, 2010


  Loading...