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M. Ozan Karsavuran
M. Ozan Karsavuran
Verified email at lbl.gov
Title
Cited by
Cited by
Year
Locality-aware parallel sparse matrix-vector and matrix-transpose-vector multiplication on many-core processors
MO Karsavuran, K Akbudak, C Aykanat
IEEE Transactions on Parallel and Distributed Systems 27 (6), 1713-1726, 2015
282015
Partitioning Models for General Medium-Grain Parallel Sparse Tensor Decomposition
MO Karsavuran, S Acer, C Aykanat
IEEE Transactions on Parallel and Distributed Systems, 1-1, 2020
122020
Reduce operations: Send volume balancing while minimizing latency
MO Karsavuran, S Acer, C Aykanat
IEEE Transactions on Parallel and Distributed Systems 31 (6), 1461-1473, 2020
42020
Scaling stratified stochastic gradient descent for distributed matrix completion
N Abubaker, MO Karsavuran, C Aykanat
IEEE Transactions on Knowledge and Data Engineering, 2023
22023
Stochastic gradient descent for matrix completion: Hybrid parallelization on shared-and distributed-memory systems
K Büyükkaya, MO Karsavuran, C Aykanat
Knowledge-Based Systems 283, 111176, 2024
12024
Minimizing staleness and communication overhead in distributed SGD for collaborative filtering
N Abubaker, O Caglayan, MO Karsavuran, C Aykanat
IEEE Transactions on Computers, 2023
12023
Scalable unsupervised ml: Latency hiding in distributed sparse tensor decomposition
N Abubaker, MO Karsavuran, C Aykanat
IEEE Transactions on Parallel and Distributed Systems 33 (11), 3028-3040, 2021
12021
Simultaneous Computational and Data Load Balancing in Distributed-Memory Setting
MF Çeliktuğ, MO Karsavuran, S Acer, C Aykanat
SIAM Journal on Scientific Computing 44 (6), C399-C424, 2022
2022
Reducing Communication Overhead in Sparse Matrix and Tensor Computations/Seyrek Matriş ve Tensör Hesaplamalarında Iletişim Yükünün Azaltılması
MO Karsavuran
Bilkent Universitesi (Turkey), 2020
2020
Reducing Communication Overhead in Sparse Matrix and Tensor Computations
MO Karsavuran
PQDT-Global, 2020
2020
Increasing data reuse in parallel sparse matrix-vector and matrix-transpose-vector multiply on shared-memory architectures
MO Karsavuran
PQDT-Global, 2014
2014
Exploiting Matrix Reuse and Data Locality in Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication on Many-Core Architectures
MO Karsavuran, K Akbudak, C Aykanat
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Articles 1–12