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- Ümit V. Çatalyürek, Cevdet Aykanat
- IEEE Trans. Parallel Distrib. Syst.
- 1999

In this work, we show that the standard graph-partitioning based decomposition of sparse matrices does not reflect the actual communication volume requirement for parallel matrix-vector… (More)

- Michael D. Beynon, Tahsin M. Kurç, Ümit V. Çatalyürek, Chialin Chang, Alan Sussman, Joel H. Saltz
- Parallel Computing
- 2001

Subsetting through Range Queries a hyperbox defined in the multi-dimensional space underlying the dataset items whose multi-dimensional coordinates fall into the box are retrieved.

- Karen D. Devine, Erik G. Boman, Robert T. Heaphy, Rob H. Bisseling, Ümit V. Çatalyürek
- Proceedings 20th IEEE International Parallel…
- 2006

Graph partitioning is often used for load balancing in parallel computing, but it is known that hypergraph partitioning has several advantages. First, hypergraphs more accurately model communication… (More)

- Andy B. Yoo, Edmond Chow, Keith W. Henderson, Will McLendon, Bruce Hendrickson, Ümit V. Çatalyürek
- ACM/IEEE SC Conference (SC'05)
- 2005

Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth- first search (BFS)… (More)

- Ümit V. Çatalyürek, Cevdet Aykanat
- Proceedings 15th International Parallel and…
- 2001

We propose a new hypergraph model for the decomposition of irregular computational domains. This work focuses on the decomposition of sparse matrices for parallel matrix-vector multiplication.… (More)

- Ümit V. Çatalyürek, Cevdet Aykanat, Bora Uçar
- SIAM J. Scientific Computing
- 2010

We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, each having unique… (More)

- Cevdet Aykanat, Ali Pinar, Ümit V. Çatalyürek
- SIAM J. Scientific Computing
- 2004

We investigate the problem of permuting a sparse rectangular matrix into blockdiagonal form. Block-diagonal form of a matrix grants an inherent parallelism for solving the deriving problem, as… (More)

- Ümit V. Çatalyürek, Cevdet Aykanat
- Encyclopedia of Parallel Computing
- 2011

- Ümit V. Çatalyürek, Michael D. Beynon, Chialin Chang, Tahsin M. Kurç, Alan Sussman, Joel H. Saltz
- IEEE Trans. Information Technology in Biomedicine
- 2003

We present the design and implementation of the Virtual Microscope, a software system employing a client/server architecture to provide a realistic emulation of a high power light microscope. The… (More)

- Ümit V. Çatalyürek, Cevdet Aykanat
- IRREGULAR
- 1996

In this work, we show the de ciencies of the graph model for decomposing sparse matrices for parallel matrix-vector multiplication. Then, we propose two hypergraph models which avoid all de ciencies… (More)