Gunduz Vehbi Demirci

18 papers A 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Accelerating Sparse Deep Learning via Multi-Layer Tensor Reordering and Partitioning.
HPEC
Gunduz Vehbi Demirci, Çagatay Dikici, Tim Atherton
2024 J jnl
Foresight plus: serverless spatio-temporal traffic forecasting.
GeoInformatica
Joe Oakley, Chris Conlan, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu
2023 — conf
Real-Time Spatio-Temporal Forecasting with Dynamic Urban Event and Vehicle-Level Flow Information.
EDBT/ICDT Workshops
Chris Conlan, Joe Oakley, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu
2023 J jnl
Temporal Cascade Model for Analyzing Spread in Evolving Networks.
ACM Trans. Spatial Algorithms Syst.
Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu
2022 J jnl
Scalable Graph Convolutional Network Training on Distributed-Memory Systems.
CoRR
Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu
2022 J jnl
Scalable Graph Convolutional Network Training on Distributed-Memory Systems.
Proc. VLDB Endow.
Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu
2022 J jnl
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications.
CoRR
Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu
2021 J jnl
Collective Shortest Paths for Minimizing Congestion on Temporal Load-Aware Road Networks.
CoRR
Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu
2021 — conf
Collective shortest paths for minimizing congestion on temporal load-aware road networks.
IWCTS@SIGSPATIAL
Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu
2021 A conf
Partitioning sparse deep neural networks for scalable training and inference.
ICS
Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu
2021 J jnl
Partitioning sparse deep neural networks for scalable training and inference.
CoRR
Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu
2020 J jnl
Cartesian Partitioning Models for 2D and 3D Parallel SpGEMM Algorithms.
IEEE Trans. Parallel Distributed Syst.
Gunduz Vehbi Demirci, Cevdet Aykanat
2020 J jnl
Scaling sparse matrix-matrix multiplication in the accumulo database.
Distributed Parallel Databases
Gunduz Vehbi Demirci, Cevdet Aykanat
2019 J jnl
Cascade-aware partitioning of large graph databases.
VLDB J.
Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu, Cevdet Aykanat
2019 J jnl
Locality-aware and load-balanced static task scheduling for MapReduce.
Future Gener. Comput. Syst.
Oguz Selvitopi, Gunduz Vehbi Demirci, Ata Turk, Cevdet Aykanat
2019 — —
Partitioning models for scaling distributed graph computations (Dağıtık çizge hesaplamalarının ölçeklendirilmesi için bölümleme yöntemleri)
Gunduz Vehbi Demirci
2012 — conf
Investigation of Load Balancing Scalability in Space Plasma Simulations.
PARA
Ata Turk, Gunduz Vehbi Demirci, Cevdet Aykanat, Sebastian von Alfthan, Ilja Honkonen
2011 J jnl
Improving the Load Balancing Performance of Vlasiator
CoRR
Ata Turk, Cevdet Aykanat, Gunduz Vehbi Demirci, Sebastian von Alfthan, Ilja Honkonen