Dumitrel Loghin
Citata da
Citata da
Towards scaling blockchain systems via sharding
H Dang, TTA Dinh, D Loghin, EC Chang, Q Lin, BC Ooi
Proceedings of the 2019 international conference on management of data, 123-140, 2019
A performance study of big data on small nodes
D Loghin, BM Tudor, H Zhang, BC Ooi, YM Teo
Proceedings of the VLDB Endowment 8 (7), 762-773, 2015
Home automation design using 6LoWPAN wireless sensor networks
DŞ Tudose, A Voinescu, MT Petrăreanu, A Bucur, D Loghin, A Bostan, ...
2011 International Conference on Distributed Computing in Sensor Systems and …, 2011
Modeling the energy efficiency of heterogeneous clusters
L Ramapantulu, BM Tudor, D Loghin, T Vu, YM Teo
2014 43rd International Conference on Parallel Processing, 321-330, 2014
An approach for energy efficient execution of hybrid parallel programs
L Ramapantulu, D Loghin, YM Teo
2015 IEEE International Parallel and Distributed Processing Symposium, 1000-1009, 2015
Celia: cost-time performance of elastic applications on cloud
S Rathnayake, D Loghin, YM Teo
2017 46th International Conference on Parallel Processing (ICPP), 342-351, 2017
On understanding time, energy and cost performance of wimpy heterogeneous systems for edge computing
D Loghin, L Ramapantulu, YM Teo
2017 IEEE International Conference on Edge Computing (EDGE), 1-8, 2017
The disruptions of 5G on data-driven technologies and applications
D Loghin, S Cai, G Chen, TTA Dinh, F Fan, Q Lin, J Ng, BC Ooi, X Sun, ...
IEEE transactions on knowledge and data engineering 32 (6), 1179-1198, 2020
Blockchains and distributed databases: a twin study
P Ruan, G Chen, TTA Dinh, Q Lin, D Loghin, BC Ooi, M Zhang
arXiv preprint arXiv:1910.01310, 2019
The time and energy efficiency of modern multicore systems
D Loghin, YM Teo
Parallel Computing 86, 1-13, 2019
A time–energy performance analysis of MapReduce on heterogeneous systems with GPUs
D Loghin, L Ramapantulu, O Barbu, YM Teo
Performance Evaluation 91, 255-269, 2015
Blockchain goes green? An analysis of blockchain on low-power nodes
D Loghin, G Chen, TTA Dinh, BC Ooi, YM Teo
arXiv preprint arXiv:1905.06520, 2019
On energy proportionality and time-energy performance of heterogeneous clusters
L Ramapantulu, D Loghin, YM Teo
2016 IEEE International Conference on Cluster Computing (CLUSTER), 221-230, 2016
Understanding the scalability of Hyperledger Fabric
MQ Nguyen, D Loghin, TTA Dinh
Efficient time-energy execution of data-parallel applications on heterogeneous systems with GPU
D Loghin
PQDT-Global, 2017
A transactional perspective on execute-order-validate blockchains
P Ruan, D Loghin, QT Ta, M Zhang, G Chen, BC Ooi
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Towards analyzing the performance of hybrid edge-cloud processing
D Loghin, L Ramapantulu, YM Teo
2019 IEEE International Conference on Edge Computing (EDGE), 87-94, 2019
Modeling the Energy-Time Performance of MIC Architecture System
L Ramapantulu, T Dao, D Loghin, N Thoai, YM Teo
2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016
An Approach for Direct Dataflow Execution on Contemporary Multicore Systems
D Loghin, BM Tudor, YM Teo
2013 Data-Flow Execution Models for Extreme Scale Computing, 1-8, 2013
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks
P Zhou, Q Lin, D Loghin, BC Ooi, Y Wu, H Yu
arXiv preprint arXiv:2009.05766, 2020
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