Department of Computer Science
University of Illinois at Urbana-Champaign
Research Group: Laboratory for Parallel Numerical Algorithms (LPNA)
4229 Thomas M. Siebel Center for Computer Science
201 North Goodwin Avenue
Urbana, IL 61801-2302
(July 2020) Check out our group's recent work on tensor networks, including topics on
handling group symmetry in tensor networks,
their theoretical stability,
tensor network methods by automatic differentiation, and
parallel simulation of 2D quantum systems.
(this IQUIST seminar briefly covers each of these works)
(April 2020) My NSF CAREER proposal on new tensor algorithms and libraries has been awarded!
(October 2019) Releasing new papers on tensor hardware accelerators, tensor completion, tensor decomposition, and a survey on fast convolution algorithms.
(October 2019) I have been awarded the 2020 SIAM Activity Group on Supercomputing Early Career Prize based on our work on parallel communication avoiding algorithms for the symmetric eigenvalue problem.
(September 2019) The NSF Office of Advanced Cyberinfrastructure has awarded us (jointly with Lucas Wagner, Garnet Chan, and Timothy Berkbelbach) $1.8M for research on scalable software and methods for quantum chemistry and materials simulation.
(March 2019) Our work on communication-efficient parallel sorting lead by Vipul Harsh will be presented as a regular paper at SPAA 2019.
(January 2019) Our paper on parallel QR factorization lead by Edward Hutter has been accepeted for publication at IPDPS 2019.
(December 2017) Finished teaching course on parallel numerical algorithms; slides, partial notes, and all lecture videos are freely available.
(June 2017) I was awarded the 2017 Householder prize for the best dissertation in numerical linear algebra in the last 3 years.
(December 2016) Finished building and teaching an advanced course of 29 lectures (36 hours) on communication complexity of numerical and combinatorial algorithms!
numerical linear algebra
communication lower bounds
high performance computing
parallel programming systems
computational quantum chemistry
SIAM Activity Group on Supercomputing Early Career Prize 2020
IEEE CS TCHPC Award for Excellence for Early Career Researchers in High Performance Computing 2018
Alston S. Householder Prize 2017
ETH Zurich Postdoctoral Fellowship 2014-2016
DOE Computational Science Graduate Fellowship 2010-2014
David J. Sakrison Memorial Prize 2014
NERSC Award for Innovative Use of High Performance Computing 2013
ACM-IEEE George Michael HPC Fellowship 2013
Postdoctoral Researcher, ETH Zurich, 2014-2016
PhD, University of California Berkeley, 2010-2014
BS, University of Illinois at Urbana-Champaign, 2008-2010
More information is available in my CV
|article||Linjian Ma and Edgar Solomonik Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree arXiv:2010.12056 [cs.DC], October 2020. bibtex|
|article||Yang Gao, Phillip Helms, Garnet Kin-Lic Chan, and Edgar Solomonik Automatic transformation of irreducible representations for efficient contraction of tensors with cyclic group symmetry arXiv:2007.08056 [physics.comp-ph], July 2020. bibtex|
|article||Ryan Levy, Edgar Solomonik, and Bryan Clark Distributed-memory DMRG via sparse and dense parallel tensor contractions ACM/IEEE Supercomputing Conference (SC), Atlanta, GA, November 2020 (to appear, preprint available, arXiv:2007.05540 [cs.DC]). bibtex|
|article||Yuchen Pang, Tianyi Hao, Annika Dugad, Yiqing Zhou, and Edgar Solomonik Efficient 2D tensor network simulation of quantum systems ACM/IEEE Supercomputing Conference (SC), Atlanta, GA, November 2020 (to appear, preprint available, arXiv:2006.15234 [cs.DC]). bibtex|
|article||Linjian Ma, Jiayu Ye, and Edgar Solomonik AutoHOOT: Automatic High-Order Optimization for Tensors International Conference on Parallel Architectures and Compilation Techniques (PACT), October 2020 (to appear, preprint available arXiv:2005.04540 [cs.MS]). bibtex|
|article||Caleb Ju and Edgar Solomonik Derivation and analysis of fast bilinear algorithms for convolution SIAM Review, 2020 (to appear, preprint available, arXiv:1910.13367 [math.NA]). bibtex|
|article||Edgar Solomonik and James Demmel Fast bilinear algorithms for symmetric tensor contractions Computational Methods in Applied Mathematics (CMAM), 2020. report bibtex|
|report||Yifan Zhang and Edgar Solomonik On stability of tensor networks and canonical forms arXiv:2001.01191 [math.NA], January 2020. bibtex|
|article||Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, and Edgar Solomonik Communication-efficient Jaccard similarity for high-performance distributed genome comparisons IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2020. bibtex|
|report||Navjot Singh, Linjian Ma, Hongru Yang, and Edgar Solomonik Comparison of accuracy and scalability of Gauss-Newton and alternating least squares for CP decomposition arXiv:1910.12331 [math.NA], October 2019. bibtex|
|report||Zecheng Zhang, Xiaoxiao Wu, Naijing Zhang, Siyuan Zhang, and Edgar Solomonik Enabling distributed-memory tensor completion in Python using new sparse tensor kernels arXiv:1910.02371 [cs.DC], October 2019. bibtex|
|article||Kartik Hegde, Hadi Asghari-Moghaddam, Michael Pellauer, Neal Crago, Aamer Jaleel, Edgar Solomonik, Joel Emer, and Christopher W. Fletcher ExTensor: An accelerator for sparse tensor algebra IEEE/ACM International Symposium on Microarchitecture (MICRO), October 2019. bibtex|
|article||Vipul Harsh, Laxmikant Kale, and Edgar Solomonik Histogram sort with sampling 31st ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), ACM, Phoenix, AZ, USA, June 2019. bibtex|
|article||Edward Hutter and Edgar Solomonik Communication-avoiding Cholesky-QR2 for rectangular matrices IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Jianero, Brazil, May, 2019. bibtex|
|report||Linjian Ma and Edgar Solomonik Accelerating alternating least squares for tensor decomposition by pairwise perturbation arXiv:1811.10573 [math.NA], November 2018. bibtex|
|report||Edwin Pednault, John A. Gunnels, Giacomo Nannicini, Lior Horesh, Thomas Magerlein, Edgar Solomonik, Erik Draeger, Eric Holland, and Robert Wisnieff Breaking the 49-qubit barrier in the simulation of quantum circuits arXiv:1710.05867 [quant-ph], October 2017. bibtex|
|article||Edgar Solomonik, Maciej Besta, Flavio Vella, and Torsten Hoefler Scaling betweenness centrality using communication-efficient sparse matrix multiplication ACM/IEEE Supercomputing Conference (SC), Denver, Colorado, November 2017. report errata bibtex|
|article||Edgar Solomonik, Grey Ballard, James Demmel, and Torsten Hoefler A communication-avoiding parallel algorithm for the symmetric eigenvalue problem 29th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), ACM, New York, NY, USA, 111-121, July 2017. report bibtex|
|report||Edgar Solomonik, James Demmel, and Torsten Hoefler Communication lower bounds of bilinear algorithms for symmetric tensor contractions arXiv:1707.04618 [cs.DC], July 2017. bibtex|
|article||Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, and Torsten Hoefler To push or to pull: on reducing communication and synchronization in graph computations 26th ACM Symposium on High Performance Parallel and Distributed Computing (HPDC), ACM, New York, NY, USA, 93-104, June 2017. report bibtex|
|article||Tobias Wicky, Edgar Solomonik, and Torsten Hoefler Communication-avoiding parallel algorithms for solving triangular systems of linear equations IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, June 2017, pp. 678-687. report bibtex|
|article||Maciej Besta, Florian Marending, Edgar Solomonik and Torsten Hoefler. SlimSell: A vectorizable graph representation for breadth-first search IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, June 2017, pp. 32-41. report bibtex|
|article||Edgar Solomonik, Erin Carson, Nicholas Knight, and James Demmel Trade-offs between synchronization, communication, and computation in parallel linear algebra computations ACM Transactions on Parallel Computing (TOPC), June 2016. bibtex|
|report||Edgar Solomonik and Torsten Hoefler Sparse tensor algebra as a parallel programming model arXiv:1512.00066 [cs.MS], November 2015. bibtex|
|report||Edgar Solomonik, James Demmel, and Torsten Hoefler Communication lower bounds for tensor contraction algorithms Technical report, ETH Zurich, January 2015. bibtex|
|thesis||Edgar Solomonik Provably efficient algorithms for numerical tensor algebra Dissertation, University of California, Berkeley, August 2014. bibtex|
|article||Edgar Solomonik, Erin Carson, Nicholas Knight, and James Demmel Tradeoffs between synchronization, communication, and work in parallel linear algebra computations 26th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), Prague, Czech Republic, June 2014. report bibtex Superseded by extended journal paper|
|article||Edgar Solomonik, Devin Matthews, Jeff R. Hammond, John F. Stanton, and James Demmel A massively parallel tensor contraction framework for coupled-cluster computations Journal of Parallel and Distributed Computing, June 2014. report bibtex|
|article||Grey Ballard, James Demmel, Laura Grigori, Mathias Jacquelin, Hong Diep Nguyen, and Edgar Solomonik Reconstructing Householder vectors from Tall-Skinny QR IEEE International Parallel and Distributed Processing Symposium (IPDPS), Phoenix, AZ, May 2014. report bibtex|
|article||Edgar Solomonik, Devin Matthews, Jeff Hammond, and James Demmel Cyclops Tensor Framework: reducing communication and eliminating load imbalance in massively parallel contractions IEEE International Parallel and Distributed Processing Symposium (IPDPS), Boston, MA, May 2013. report bibtex|
|article||Edgar Solomonik, Aydin Buluc, and James Demmel Minimizing communication in all-pairs shortest-paths IEEE International Parallel and Distributed Processing Symposium (IPDPS), Boston, MA, May 2013. report bibtex|
|article||Michael Driscoll, Evangelos Georganas, Penporn Koanantakool, Edgar Solomonik, and Katherine Yelick A communication-optimal n-body algorithm for direct interactions IEEE International Parallel and Distributed Processing Symposium (IPDPS), Boston, MA, May 2013. bibtex|
|article||Evangelos Georganas, Jorge Gonzalez-Dominguez, Edgar Solomonik, Yili Zheng, Juan Tourino and Katherine Yelick Communication avoiding and overlapping for numerical linear algebra ACM/IEEE Supercomputing Conference (SC), Salt Lake City, Utah, November 2012. report bibtex|
|article||Edgar Solomonik and James Demmel Matrix multiplication on multidimensional torus networks Springer Lecture Notes in Computer Science (LNCS), Proceedings of VECPAR, Kobe, Japan, July 2012. report bibtex|
|report||Edgar Solomonik, Jeff Hammond, and James Demmel A preliminary analysis of Cyclops Tensor Framework EECS Department, University of California, Berkeley, March 2012. bibtex|
|article||Edgar Solomonik, Abhinav Bhatele, and James Demmel Improving communication performance in dense linear algebra via topology aware collectives ACM/IEEE Supercomputing Conference (SC), Seattle, WA, November 2011. report bibtex|
|article||Edgar Solomonik and James Demmel Communication-optimal parallel 2.5D matrix multiplication and LU factorization algorithms Lecture Notes in Computer Science, Euro-Par, Bordeaux, France, August 2011. "Distinguished Paper" report errata bibtex|
|article||Laxmikant Kale and Edgar Solomonik Parallel sorting Encyclopedia of Parallel Computing (pp. 1855-1862), Springer, David Padua, Ed., 2011. bibtex|
|article||Edgar Solomonik and Laxmikant V. Kale Highly scalable parallel sorting IEEE International Parallel and Distributed Processing Symposium (IPDPS), Atlanta, GA, April 2010. bibtex|
|article||Vivek Kale and Edgar Solomonik Parallel sorting pattern Workshop on Parallel Programming Patterns (ParaPLOP), March 2010. bibtex|
|article||Abhinav Bhatele, Lukasz Wesolowski, Eric Bohm, Edgar Solomonik, and Laxmikant V. Kale Understanding application performance via micro-benchmarks on three large supercomputers: Intrepid, Ranger and Jaguar International Journal of High Performance Computing Applications (IJHPCA), November 2010. bibtex|