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ORCIDGunduz Vehbi Demirci
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2020 – today
- 2024
[j7]Joe Oakley, Chris Conlan, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu:
Foresight plus: serverless spatio-temporal traffic forecasting. GeoInformatica 28(4): 649-677 (2024)- 2023
- [j6]Aparajita Haldar
, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu:
Temporal Cascade Model for Analyzing Spread in Evolving Networks. ACM Trans. Spatial Algorithms Syst. 9(2): 12:1-12:30 (2023) - [c4]Chris Conlan, Joe Oakley, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu:
Real-Time Spatio-Temporal Forecasting with Dynamic Urban Event and Vehicle-Level Flow Information. EDBT/ICDT Workshops 2023 - 2022
- [j5]Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. Proc. VLDB Endow. 16(4): 711-724 (2022) - [i5]Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu:
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications. CoRR abs/2203.14925 (2022) - [i4]Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. CoRR abs/2212.05009 (2022) - 2021
- [c3]Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Collective shortest paths for minimizing congestion on temporal load-aware road networks. IWCTS@SIGSPATIAL 2021: 1:1-1:10 - [c2]Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Partitioning sparse deep neural networks for scalable training and inference. ICS 2021: 254-265 - [i3]Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Partitioning sparse deep neural networks for scalable training and inference. CoRR abs/2104.11805 (2021) - [i2]Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Collective Shortest Paths for Minimizing Congestion on Temporal Load-Aware Road Networks. CoRR abs/2110.09937 (2021) - 2020
- [j4]Gunduz Vehbi Demirci, Cevdet Aykanat:
Scaling sparse matrix-matrix multiplication in the accumulo database. Distributed Parallel Databases 38(1): 31-62 (2020) - [j3]Gunduz Vehbi Demirci, Cevdet Aykanat:
Cartesian Partitioning Models for 2D and 3D Parallel SpGEMM Algorithms. IEEE Trans. Parallel Distributed Syst. 31(12): 2763-2775 (2020)
2010 – 2019
- 2019
- [b1]Gunduz Vehbi Demirci:
Partitioning models for scaling distributed graph computations (Dağıtık çizge hesaplamalarının ölçeklendirilmesi için bölümleme yöntemleri). İhsan Doğramacı Bilkent University, Turkey, 2019 - [j2]Oguz Selvitopi, Gunduz Vehbi Demirci, Ata Turk, Cevdet Aykanat:
Locality-aware and load-balanced static task scheduling for MapReduce. Future Gener. Comput. Syst. 90: 49-61 (2019) - [j1]Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu, Cevdet Aykanat:
Cascade-aware partitioning of large graph databases. VLDB J. 28(3): 329-350 (2019) - 2012
- [c1]Ata Turk, Gunduz Vehbi Demirci, Cevdet Aykanat, Sebastian von Alfthan, Ilja Honkonen:
Investigation of Load Balancing Scalability in Space Plasma Simulations. PARA 2012: 558-562 - 2011
- [i1]Ata Turk, Cevdet Aykanat, Gunduz Vehbi Demirci, Sebastian von Alfthan, Ilja Honkonen:
Improving the Load Balancing Performance of Vlasiator. CoRR abs/1111.6324 (2011)
Coauthor Index
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