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Talks and Lectures (selected)

[1] Faster parallel Graph BLAS kernels and new graph algorithms in matrix algebra HP Labs, Palo Alto, CA, 2015 [Slides]
[2] Scalable algorithms for genome assembly, alignment, and genetic mapping. Georgia Institute of Technology, School of Computational Science and Engineering, Atlanta, GA, 2015 [Slides]
[3] Parallel Graph Algorithms. Guest lecture at CS267, UC Berkeley 2012-2014. [2015 video], [2014 video], [2013 video], [2012 video]
[4] Distributed-Memory Parallel Algorithms for Graph Traversal and Genome Assembly. SUNY Stony Brook, SUNY Albany, SUNY Buffalo , NY, 2014 [Slides]
[5] The Graph BLAS effort and its implications for Exascale. SIAM Workshop on Exascale Applied Mathematics Challenges and Opportunities (EX14) , Chicago, IL, 2014 [Slides]
[6] Reducing Communication in Parallel Graph Computations. Workshop on Algorithms for Modern Massive Data Sets (MMDS) , Berkeley, CA, 2014 [Slides | Video]
[7] High-Productivity and High- Performance Analysis of Filtered Semantic Graphs. SIAM Conference on Parallel Computing , Portland, OR, 2014 [Slides]
[8] Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Communication. Seminar at the Simons Institute , Berkeley, CA, 2013. [Video and Slides]
[9] High-performance filtered queries in attributed semantic graphs. SIAM Conference on Computational Science and Engineering, Boston, MA, 2013 [slides]
[10] A sustainable software stack for parallel graph analysis. Discovery 2015: HPC and Cloud Computing Workshop, Berkeley, CA, 2012 [slides]
[11] Parallel algorithms for sparse matrix product, indexing, and assignment. In Scientific Computing and Matrix Computations Seminar, UC Berkeley 2012. [slides]
[12] Parallel Breadth-First Search on Distributed Memory Systems. In Supercomputing, Seattle 2011. [slides]
[13] An Overview of the Combinatorial BLAS and Knowledge Discovery Toolbox. IBM Exascale Analytics Discussion, 2011. [slides]
[14] Scalable Parallel Primitives for Massive Graph Computation. Invited talk at Sandia National Labs, Lawrence Berkeley National Lab, and Argonne National Lab, 2010. [slides]
[15] Parallel Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication Using Compressed Sparse Blocks. In ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) , Calgary, Canada, 2009. [slides]
[16] Challenges and advances in parallel sparse matrix-matrix multiplication. In International Conference on Parallel Processing (ICPP), Portland, 2008. [slides]
[17] Gaussian Elimination Based Algorithms on the GPU. In International Workshop on Parallel Matrix Algorithms and Applications (PMAA), Neuch√Ętel, Switzerland, 2008. [slides]