Aydin Buluç: Faculty Home Page

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Aydin Buluç

Adjunct Associate Professor

Contact Information

aydin@eecs.berkeley.edu

Links

Personal Homepage

Dissertations

Research Support

Eva Leach
eva.leach@berkeley.edu

Biography

Aydın Buluç is a Senior Scientist at the Lawrence Berkeley National Laboratory (LBNL) and an Adjunct Associate Professor of EECS at UC Berkeley. His research interests include parallel computing, combinatorial scientific computing, high performance graph analysis and machine learning, sparse computations, computational biology. Previously, he was a Luis W. Alvarez postdoctoral fellow at LBNL and a visiting scientist at the Simons Institute for the Theory of Computing. He received his PhD in Computer Science from the University of California, Santa Barbara in 2010 and his BS in Computer Science and Engineering from Sabanci University, Turkey in 2005. Dr. Buluç is a recipient of the DOE Early Career Award in 2013 and the IEEE TCSC Award for Excellence for Early Career Researchers in 2015. He was a founding associate editor of the ACM Transactions on Parallel Computing. He recently led a team that was chosen as a finalist for the 2022 ACM Gordon Bell Prize. He is currently directing a DOE Mathematical Multifaceted Integrated Capabilities Center named Sparsitute.

Education

2010, Ph.D., Computer Science, University of California, Santa Barbara

Research Areas

Scientific Computing (SCI)

Programming Systems (PS)

Biosystems & Computational Biology (BIO)

Computer Architecture & Engineering (ARC)

Research Centers

SpeciaLIzed Computing Ecosystems (SLICE)

  • A. Tripathy, K. A. Yelick, and A. Buluç, "Reducing Communication in Graph Neural Network Training," in Proceedings of the 2020 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC'20, 2020.
  • E. Georganas, R. Egan, S. Hofmeyr, E. Goltsman, B. Arndt, A. Tritt, A. Buluç, L. Oliker, and K. A. Yelick, "Extreme scale de novo metagenome assembly," in Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'18), 2018, pp. 10.
  • A. Gholami, A. Azad, P. Jin, K. Keutzer, and A. Buluç, "Integrated Model, Batch, and Domain Parallelism in Training Neural Networks," in SPAA'18: 30th ACM Symposium on Parallelism in Algorithms and Architectures, 2018.
  • A. Azad, G. A. Pavlopoulos, C. A. Ouzounis, N. C. Kyrpides, and A. Buluç, "HipMCL: A high-performance parallel implementation of the Markov clustering algorithm for large-scale networks," Nucleic Acids Research (NAR), 2018.
  • Y. You, A. Buluç, and J. Demmel, "Scaling Deep Learning on GPU and Knights Landing Clusters," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), 2017.
  • A. Azad, A. Buluç, and A. Pothen, "Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting," IEEE Transactions on Parallel and Distributed Systems (TPDS)), 2016.
  • A. Azad, G. Ballard, A. Buluç, J. Demmel, L. Grigori, O. Schwartz, S. Toledo, and S. Williams, "Exploiting multiple levels of parallelism in sparse matrix-matrix multiplication," SIAM Journal on Scientific Computing, vol. 38, no. 6, pp. C624--C651, 2016.
  • J. Chapman, M. Mascher, A. Buluç, K. Barry, E. Georganas, A. Session, V. Strnadova, J. Jenkins, S. Sehgal, L. Oliker, J. Schmutz, K. A. Yelick, U. Scholz, R. Waugh, J. Poland, G. Muehlbauer, N. Stein, and D. Rokhsar, "A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome," Genome Biology, vol. 16, no. 26, 2015.
  • H. M. Aktulga, A. Buluç, S. Williams, and C. Yang, "Optimizing sparse matrix-multiple vectors multiplication for nuclear configuration interaction calculations," in Parallel and Distributed Processing Symposium, 2014 IEEE 28th International, 2014, pp. 1213--1222.
  • E. Georganas, A. Buluç, J. Chapman, L. Oliker, D. Rokhsar, and K. A. Yelick, "Parallel de bruijn graph construction and traversal for de novo genome assembly," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2014, pp. 437--448.
  • A. Buluç, E. Duriakova, A. Fox, J. R. Gilbert, S. Kamil, A. Lugowski, L. Oliker, and S. Williams, "High-Productivity and High-Performance Analysis of Filtered Semantic Graphs," in Proceedings of the IPDPS, 2013, pp. 237--248.
  • A. Buluç and J. R. Gilbert, "Parallel sparse matrix-matrix multiplication and indexing: Implementation and experiments," SIAM Journal on Scientific Computing, vol. 34, no. 4, pp. C170--C191, 2012.
  • A. Buluç and K. Madduri, "Parallel breadth-first search on distributed memory systems," in Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, 2011, pp. 65.
  • A. Buluç and J. R. Gilbert, "The Combinatorial BLAS: Design, implementation, and applications," The International Journal of High Performance Computing Applications, vol. 25, no. 4, pp. 496--509, 2011.
  • A. Buluç, J. T. Fineman, M. Frigo, J. R. Gilbert, and C. E. Leiserson, "Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks," in Proceedings of the twenty-first annual symposium on Parallelism in algorithms and architectures, 2009, pp. 233--244.