2016 - IEEE Fellow For contributions to combinatorial scientific computing and parallel computing
His work in Operating system is not limited to one particular discipline; it also encompasses Heuristics and Overhead (engineering). His Operating system research extends to the thematically linked field of Overhead (engineering). While working in this field, Ümit V. Çatalyürek studies both Parallel computing and Distributed computing. His study deals with a combination of Distributed computing and Algorithm. In his research, he performs multidisciplinary study on Algorithm and Computation. Computation and Parallel computing are two areas of study in which he engages in interdisciplinary work. Centrality and Combinatorics are commonly linked in his work. His Combinatorics study frequently links to other fields, such as Centrality. The study of Theoretical computer science is intertwined with the study of Graph in a number of ways.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Hypergraph-partitioning-based decomposition for parallel sparse-matrix vector multiplication
U.V. Catalyurek;C. Aykanat.
IEEE Transactions on Parallel and Distributed Systems (1999)
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Andy Yoo;Edmond Chow;Keith Henderson;William McLendon.
conference on high performance computing (supercomputing) (2005)
Parallel hypergraph partitioning for scientific computing
Karen D. Devine;Erik G. Boman;Robert T. Heaphy;Rob H. Bisseling.
international parallel and distributed processing symposium (2006)
Benchmarking short sequence mapping tools
Ayat Hatem;Doruk Bozdağ;Amanda E Toland;Ümit V Çatalyürek.
BMC Bioinformatics (2013)
A comparative analysis of biclustering algorithms for gene expression data
Kemal Eren;Mehmet Deveci;Onur Küçüktunç;Ümit V. Çatalyürek.
Briefings in Bioinformatics (2013)
Distributed processing of very large datasets with DataCutter
Michael D. Beynon;Tahsin Kurc;Umit Catalyurek;Chialin Chang.
parallel computing (2001)
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
O. Sertel;J. Kong;H. Shimada;U. V. Catalyurek.
Pattern Recognition (2009)
Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading
Olcay Sertel;Jun Kong;Umit V. Catalyurek;Gerard Lozanski.
signal processing systems (2009)
Hypergraph-based Dynamic Load Balancing for Adaptive Scientific Computations
U.V. Catalyurek;E.G. Boman;K.D. Devine;D. Bozdag.
international parallel and distributed processing symposium (2007)
Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi
Erik Saule;Kamer Kaya;Ümit V. Çatalyürek.
international conference on parallel processing (2013)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: