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2020 – today
- 2022
[c25]Diego Didona, Jonas Pfefferle, Nikolas Ioannou, Bernard Metzler, Animesh Trivedi
:
Understanding modern storage APIs: a systematic study of libaio, SPDK, and io_uring. SYSTOR 2022: 120-127- [i12]Malte Brodmann, Nikolas Ioannou, Bernard Metzler, Jonas Pfefferle, Ana Klimovic:
An Elastic Ephemeral Datastore using Cheap, Transient Cloud Resources. CoRR abs/2205.11261 (2022) - 2021
- [c24]Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou:
Towards a General Framework for ML-based Self-tuning Databases. EuroMLSys@EuroSys 2021: 24-30 - 2020
- [j8]Diego Didona, Nikolas Ioannou, Radu Stoica, Kornilios Kourtis:
Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs. Proc. VLDB Endow. 14(3): 364-377 (2020) - [c23]Nikolaos Papandreou, Haralampos Pozidis, Nikolas Ioannou, Thomas P. Parnell, Roman A. Pletka, Milos Stanisavljevic, Radu Stoica, Sasa Tomic, Patrick Breen, Gary A. Tressler, Aaron Fry, Timothy Fisher, Andrew Walls:
Open Block Characterization and Read Voltage Calibration of 3D QLC NAND Flash. IRPS 2020: 1-6 - [c22]Roman A. Pletka, Nikolaos Papandreou, Radu Stoica, Haris Pozidis, Nikolas Ioannou, Tim Fisher, Aaron Fry, Kip Ingram, Andrew Walls:
Improving NAND flash performance with read heat separation. MASCOTS 2020: 1-8 - [c21]Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
SnapBoost: A Heterogeneous Boosting Machine. NeurIPS 2020 - [i11]Kornilios Kourtis, Animesh Trivedi, Nikolas Ioannou:
Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF. CoRR abs/2002.11528 (2020) - [i10]Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou:
Compiling Neural Networks for a Computational Memory Accelerator. CoRR abs/2003.04293 (2020) - [i9]Diego Didona, Nikolas Ioannou, Radu Stoica, Kornilios Kourtis:
Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs. CoRR abs/2006.04658 (2020) - [i8]Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
MixBoost: A Heterogeneous Boosting Machine. CoRR abs/2006.09745 (2020) - [i7]Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou:
Towards a General Framework for ML-based Self-tuning Databases. CoRR abs/2011.07921 (2020)
2010 – 2019
- 2019
- [j7]Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian:
Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 63(6): 7:1-7:16 (2019) - [c20]Kornilios Kourtis, Nikolas Ioannou, Ioannis Koltsidas:
Reaping the performance of fast NVM storage with uDepot. FAST 2019: 1-15 - [c19]Nikolaos Papandreou, Haralampos Pozidis, Thomas P. Parnell, Nikolas Ioannou, Roman A. Pletka, Sasa Tomic, Patrick Breen, Gary A. Tressler, Aaron Fry, Timothy Fisher:
Characterization and Analysis of Bit Errors in 3D TLC NAND Flash Memory. IRPS 2019: 1-6 - [c18]Radu Stoica, Roman A. Pletka, Nikolas Ioannou, Nikolaos Papandreou, Sasa Tomic, Haris Pozidis:
Understanding the Design Trade-Offs of Hybrid Flash Controllers. MASCOTS 2019: 152-164 - [c17]Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis:
Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. MICCAI (1) 2019: 406-414 - [c16]Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell:
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. NeurIPS 2019: 590-600 - [c15]Nikolaos Papandreou, Nikolas Ioannou, Thomas P. Parnell, Roman A. Pletka, Milos Stanisavljevic, Radu Stoica, Sasa Tomic, Haralampos Pozidis:
Reliability of 3D NAND flash memory with a focus on read voltage calibration from a system aspect. NVMTS 2019: 1-4 - [i6]Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis:
Breadth-first, Depth-next Training of Random Forests. CoRR abs/1910.06853 (2019) - [i5]Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell:
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. CoRR abs/1911.07722 (2019) - 2018
- [j6]Animesh Trivedi, Nikolas Ioannou, Bernard Metzler, Patrick Stuedi, Jonas Pfefferle, Kornilios Kourtis, Ioannis Koltsidas, Thomas R. Gross:
FlashNet: Flash/Network Stack Co-Design. ACM Trans. Storage 14(4): 30:1-30:29 (2018) - [j5]Roman A. Pletka, Ioannis Koltsidas, Nikolas Ioannou, Sasa Tomic, Nikolaos Papandreou, Thomas P. Parnell, Haralampos Pozidis, Aaron Fry, Tim Fisher:
Management of Next-Generation NAND Flash to Achieve Enterprise-Level Endurance and Latency Targets. ACM Trans. Storage 14(4): 33:1-33:25 (2018) - [c14]Nikolas Ioannou, Kornilios Kourtis, Ioannis Koltsidas:
Elevating Commodity Storage with the SALSA Host Translation Layer. MASCOTS 2018: 277-292 - [c13]Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. NeurIPS 2018: 250-260 - [i4]Nikolas Ioannou, Kornilios Kourtis, Ioannis Koltsidas:
Elevating commodity storage with the SALSA host translation layer. CoRR abs/1801.05637 (2018) - [i3]Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. CoRR abs/1803.06333 (2018) - [i2]Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas P. Parnell:
Parallel training of linear models without compromising convergence. CoRR abs/1811.01564 (2018) - [i1]Roman A. Pletka, Nikolas Ioannou, Nikolaos Papandreou, Thomas P. Parnell, Sasa Tomic:
Enabling 3D-TLC NAND Flash in Enterprise Storage Systems. ERCIM News 2018(113) (2018) - 2017
- [j4]Patrick Stuedi, Animesh Trivedi, Jonas Pfefferle, Radu Stoica, Bernard Metzler, Nikolas Ioannou, Ioannis Koltsidas:
Crail: A High-Performance I/O Architecture for Distributed Data Processing. IEEE Data Eng. Bull. 40(1): 38-49 (2017) - [c12]Animesh Trivedi, Nikolas Ioannou, Bernard Metzler, Patrick Stuedi, Jonas Pfefferle, Ioannis Koltsidas, Kornilios Kourtis, Thomas R. Gross:
FlashNet: flash/network stack co-design. SYSTOR 2017: 15:1-15:14 - [c11]Anil Kurmus, Nikolas Ioannou, Nikolaos Papandreou, Thomas P. Parnell:
From random block corruption to privilege escalation: A filesystem attack vector for rowhammer-like attacks. WOOT 2017 - 2016
- [c10]Animesh Trivedi, Patrick Stuedi, Jonas Pfefferle, Radu Stoica, Bernard Metzler, Ioannis Koltsidas, Nikolas Ioannou:
On The [Ir]relevance of Network Performance for Data Processing. HotCloud 2016 - 2014
- [j3]Sangeetha Seshadri, Paul Muench, Lawrence Chiu, Ioannis Koltsidas, Nikolas Ioannou, Robert Haas, Yang Liu, Mei Mei, Stephen Blinick:
Software defined just-in-time caching in an enterprise storage system. IBM J. Res. Dev. 58(2/3) (2014) - [c9]Hyojun Kim, Ioannis Koltsidas, Nikolas Ioannou, Sangeetha Seshadri, Paul Muench, Clement L. Dickey, Lawrence Chiu:
How Could a Flash Cache Degrade Database Performance Rather Than Improve It? Lessons to be Learnt from Multi-Tiered Storage. INFLOW 2014 - [c8]Hyojun Kim, Ioannis Koltsidas, Nikolas Ioannou, Sangeetha Seshadri, Paul Muench, Clement L. Dickey, Lawrence Chiu:
Flash-Conscious Cache Population for Enterprise Database Workloads. ADMS@VLDB 2014: 45-56 - 2012
- [b1]Nikolas Ioannou:
Complementing user-level coarse-grain parallelism with implicit speculative parallelism. University of Edinburgh, UK, 2012 - [j2]Polychronis Xekalakis, Nikolas Ioannou, Marcelo Cintra:
Mixed speculative multithreaded execution models. ACM Trans. Archit. Code Optim. 9(3): 18:1-18:26 (2012) - [j1]Luís Fabrício Wanderley Góes, Nikolas Ioannou, Polychronis Xekalakis, Murray Cole, Marcelo Cintra:
Autotuning Skeleton-Driven Optimizations for Transactional Worklist Applications. IEEE Trans. Parallel Distributed Syst. 23(12): 2205-2218 (2012) - 2011
- [c7]Nikolas Ioannou, Michael Kauschke, Matthias Gries, Marcelo Cintra:
Phase-Based Application-Driven Hierarchical Power Management on the Single-chip Cloud Computer. PACT 2011: 131-142 - [c6]Salman Khan, Nikolas Ioannou, Polychronis Xekalakis, Marcelo Cintra:
Increasing the energy efficiency of TLS systems using intermediate checkpointing. HiPC 2011: 1-10 - [c5]Nikolas Ioannou, Marcelo Cintra:
Complementing user-level coarse-grain parallelism with implicit speculative parallelism. MICRO 2011: 284-295 - 2010
- [c4]Nikolas Ioannou, Jeremy Singer, Salman Khan, Polychronis Xekalakis, Paraskevas Yiapanis, Adam Craig Pocock, Gavin Brown, Mikel Luján, Ian Watson, Marcelo Cintra:
Toward a more accurate understanding of the limits of the TLS execution paradigm. IISWC 2010: 1-12 - [c3]Polychronis Xekalakis, Nikolas Ioannou, Salman Khan, Marcelo Cintra:
Profitability-based power allocation for speculative multithreaded systems. IPDPS 2010: 1-11
2000 – 2009
- 2009
- [c2]Georgios I. Goumas, Nikos Anastopoulos, Nectarios Koziris, Nikolas Ioannou:
Overlapping computation and communication in SMT clusters with commodity interconnects. CLUSTER 2009: 1-10 - [c1]Polychronis Xekalakis, Nikolas Ioannou, Marcelo Cintra:
Combining thread level speculation helper threads and runahead execution. ICS 2009: 410-420
Coauthor Index
aka: Haris Pozidis
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