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Oguz Selvitopi
Oguz
Selvitopi
Research Scientist
Computer Science
Lawrence Berkeley National Laboratory
1 Cyclotron Road
059-4024B, MS 59R4104
Berkeley,
CA
94720
Oguz Selvitopi is Research Scientist in the Performance and Algorithms group of Computer Science Department at Lawrence Berkeley National Laboratory. His research interests are high performance computing, parallel sparse matrix computations, combinatorial scientific computing, and bioinformatics. Oguz received his Ph.D. in computer engineering from Bilkent University, Turkey in 2016.
Journal Articles
Nan Ding, Pieter Maris, Hai Ah Nam, Taylor Groves, Muaaz Gul Awan, LeAnn Lindsey, Christopher Daley, Oguz Selvitopi, Leonid Oliker, Nicholas Wright, Samuel Williams, "Evaluating the potential of disaggregated memory systems for HPC applications", Concurrency and Computation, Practice and Experience (CCPE), May 2024, doi: https://doi.org/10.1002/cpe.8147
Nazanin Jafari, Oguz Selvitopi, Cevdet Aykanat, "Fast shared-memory streaming multilevel graph partitioning", Journal of Parallel and Distributed Computing, January 2021, 147:140-151, doi: https://doi.org/10.1016/j.jpdc.2020.09.004
Muaaz G Awan, Jack Deslippe, Aydin Buluc, Oguz Selvitopi, Steven Hofmeyr, Leonid Oliker, Katherine Yelick, "ADEPT: a domain independent sequence alignment strategy for gpu architectures", BMC Bioinformatics, September 2020, 21, doi: 10.1186/s12859-020-03720-1
Katherine Yelick, Aydın Buluç, Muaaz Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker, "The parallelism motifs of genomic data analysis", Philosophical Transactions of The Royal Society A: Mathematical, Physical and Engineering Sciences, 2020,
R. Oguz Selvitopi, Gunduz Vehbi Demirci, Ata Turk, Cevdet Aykanat, "Locality-aware and load-balanced static task scheduling for MapReduce", Future Generation Computer Systems (FGCS), January 2019, 90:49-61, doi: https://doi.org/10.1016/j.future.2018.06.035
Seher Acer, R. Oguz Selvitopi, Cevdet Aykanat, "Optimizing nonzero-based sparse matrix partitioning models via reducing latency", Journal of Parallel and Distributed Computing (JPDC), December 2018, 122:145-158, doi: https://doi.org/10.1016/j.jpdc.2018.08.005
Kadir Akbudak, R. Oguz Selvitopi, Cevdet Aykanat, "Partitioning Models for Scaling Parallel Sparse Matrix-Matrix Multiplication", ACM Transactions on Parallel Computing (TOPC), April 2018, 4, 3, doi: 10.1145/3155292
R. Oguz Selvitopi, Seher Acer, Cevdet Aykanat, "A Recursive Hypergraph Bipartitioning Framework for Reducing Bandwidth and Latency Costs Simultaneously", IEEE Transactions on Parallel and Distributed Systems (TPDS), February 2017, 28, 2:345-358, doi: 10.1109/TPDS.2016.2577024
Seher Acer, R. Oguz Selvitopi, Cevdet Aykanat, "Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems", Journal of Parallel Computing (PARCO), November 2016, 59:71-96, doi: 10.1016/j.parco.2016.10.001
R. Oguz Selvitopi, Cevdet Aykanat, "Reducing latency cost in 2D sparse matrix partitioning models", Journal of Parallel Computing (PARCO), September 2016, 57:1-24, doi: 10.1016/j.parco.2016.04.004
R. Oguz Selvitopi, Muhammet Mustafa Ozdal, Cevdet Aykanat, "A Novel Method for Scaling Iterative Solvers: Avoiding Latency Overhead of Parallel Sparse-Matrix Vector Multiplies", IEEE Transactions on Parallel and Distributed Systems (TPDS), March 2015, 26, 3:632-645, doi: 10.1109/TPDS.2014.2311804
Ata Turk, R. Oguz Selvitopi, Hakan Ferhatosmanoglu, Cevdet Aykanat, "Temporal Workload-Aware Replicated Partitioning for Social Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), November 2014, 26, 11:2832-2845, doi: 10.1109/TKDE.2014.2302291
R. Oguz Selvitopi, Ata Turk, Cevdet Aykanat, "Replicated partitioning for undirected hypergraphs", Journal of Parallel and Distributed Computing (JPDC), April 2012, 72:547-563, doi: 10.1016/j.jpdc.2012.01.004
Conference Papers
Nan Ding, Samuel Williams, Hai Ah Nam, Taylor Groves, Muaaz Gul Awan, Christopher Delay, Oguz Selvitopi, Leonid Oliker, Nicholas Wright, "Methodology for Evaluating the Potential of Disaggregated Memory Systems", RESDIS, https://resdis.github.io/ws/2022/sc/, November 18, 2022,
- Download File: Methodology-for-Evaluating-the-Potential-of-Disaggregated-Memory-Systems.pdf (pdf: 5.1 MB)
Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad, "Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale", 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2021, doi: 10.1109/IPDPS49936.2021.00018
O Selvitopi, B Brock, I Nisa, A Tripathy, K Yelick, A Buluç, "Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication", Proceedings of the International Conference on Supercomputing, January 2021, 431--442, doi: 10.1145/3447818.3461472
Oguz Selvitopi*, Saliya Ekanayake*, Giulia Guidi, Georgios Pavlopoulos, Ariful Azad, Aydın Buluç, "Distributed Many-to-Many Protein Sequence Alignment Using Sparse Matrices", Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’20)., 2020,
(*:joint first authors)
