Faculty

Institution

Unit

Venue

Edgar Solomonik

Professor Associate Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Edgar Solomonik is currently serving as a Siebel School Of Computing And Data Science Professor Associate Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Edgar Solomonik

University of Illinois Urbana-Champaign

Professor Associate Professor

You can click a keyword to filter the displayed items

computer science parallel computing applied mathematics parallel programming numerical algorithms numerical linear algebra high performance computer architecture computer engineering scientific computing linear algebra computer architecture computational science scalability computational optimization mathematical optimization multilinear subspace learning massively-parallel computing computational mathematics low-rank approximation distributed systems tensor contractions data science cluster computing parallel processing matrix factorization graph theory sparse representations discrete algorithms numerical mathematics quantum science combinatorial optimization array computing matrix theory hardware acceleration microarchitecture parallel complexity theory parallel performance evaluation data-level parallelism sparse tensors least squares quantum algorithms supercomputer architecture high-performance architectures high performance computing graph algorithms communication complexity lower bounds tensor decomposition mathematical programming sorting algorithms graph processing graph sparsity matrix analysis communication lower bounds cp decomposition tensor completion computational physics large-scale network sparse neural network concurrency (computer science) gpu computing large scale optimization parallel software cyclops tensor framework tensor computations tensor network networked system design quantum error correction quantum hardware quantum simulation coupled-cluster computations graph abstractions tensor networks distributed-memory tensor completion alternating least squares mtc model computational paradigm quantum computing memetic computing

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Approximate Contraction of Arbitrary Tensor Networks With a Flexible and Efficient Density Matrix Algorithm. Quantum (2024)

Linjian MaMatthew FishmanEdwin Miles StoudenmireEdgar Solomonik

tensor networklow-rank approximationcombinatorial optimizationtensor network contractionsquantum computingmathematicscomputational optimizationdiscrete algorithmsnetwork analysisscientific computingnumerical algorithmsgraph processinggraph theorycomputational sciencegraph neural networksapplied mathematicsapproximate contractioncomputer sciencenumerical linear algebra

Minimum Cost Loop Nests for Contraction of a Sparse Tensor With a Tensor Network. arXiv (Cornell University) (2024)

Raghavendra KanakagiriEdgar Solomonik

mathematical programmingtensor networklow-rank approximationcombinatorial optimizationmathematicscomputational optimizationmathematical optimizationsparse tensortheoretical computer sciencegraph sparsityapproximation theorycomputational mathematicsnumerical algorithmssparse representationsmultilinear subspace learningapplied mathematicssparse neural networklinear algebracomputer sciencenumerical linear algebra

Tensor Rank and Other Multipartite Entanglement Measures of Graph States. Physical review. A/Physical review, A (2024)

Louis SchatzkiLinjian MaEdgar SolomonikEric Chitambar

tensor rankstructural graph theorygraph theoryquantum sciencequantum mechanicsgraph analysisapplied mathematicsquantum entanglementmathematicsquantum information science

Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling. International Conference on Architectural Support for Programming Languages and Operating Systems (2023)

Toluwanimi O. OdemuyiwaHadi Asghari-MoghaddamMichael PellauerKartik HegdePo-An TsaiNeal C. CragoAamer JaleelJohn D. OwensEdgar SolomonikJoel S. EmerChristopher W. Fletcher

scientific computingsparse tensorscomputational geometryparallel computingcomputational sciencehardware accelerationarray computinghigh performance computer architecturedynamic reflexive tilingapplied mathematicsdistinct tensorscomputer scienceparallel programming

Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract). (2023)

Toluwanimi O. OdemuyiwaHadi Asghari-MoghaddamMichael PellauerKartik HegdePo-An TsaiNeal C. CragoAamer JaleelJohn D. OwensEdgar SolomonikJoel S. EmerChristopher W. Fletcher

scientific computingsparse representationssparse tensorsparallel computingcomputational sciencehardware accelerationarray computinghigh performance computer architecturedynamic reflexive tilingparallel programmingapplied mathematicsdistinct tensorsmachine learningcomputer science

Accelerating the Galerkin Reduced-Order Model With the Tensor Decomposition for Turbulent Flows. arXiv (Cornell University) (2023)

Tsai, Ping-HsuanFischer, PaulSolomonik, Edgar

scientific computingcomputational mathematicsnumerical mathematicsnumerical analysisnumerical algorithmsturbulence modelingreduced basis functionscomputational engineeringcomputational fluid dynamicscp decompositionpartial differential equationsreduced order modelingturbulent flowsnumerical simulationsaerospace engineeringnumerical computationapplied mathematicsnumerical method for partial differential equation

Alternating Mahalanobis Distance Minimization for Accurate and Well-Conditioned Cp Decomposition. SIAM Journal on Scientific Computing (2023)

Navjot SinghEdgar Solomonik

high-dimensional statisticslow-rank approximationdata scienceconvex analysiscomputational optimizationmathematical optimizationprincipal component analysisals algorithmmatrix factorizationapproximation theorynumerical algorithmssparse representationsmultilinear subspace learningsignal processingapplied mathematicsleast squareslinear algebracomputer sciencenumerical linear algebra

Application Performance Modeling via Tensor Completion. (2023)

Edward HutterEdgar Solomonik

scientific computingcomputational optimizationperformance predictiontensor decompositioncomputer engineeringparallel computingcomputational sciencehardware accelerationregular gridstensor completioncomputer sciencenumerical linear algebraparallel programming

Automatic Transformation of Irreducible Representations for Efficient Contraction of Tensors With Cyclic Group Symmetry. SciPost Physics Codebases (2023)

Yang GaoPhillip HelmsGarnet Kin-Lic ChanEdgar Solomonik

symmetrycomputational mathematicsmodel compressionrepresentative contractionsapplied mathematicsirreducible representationstensor contractionsrepresentation theorymathematics

Codebase Release 1.3 for Symtensor. SciPost Physics Codebases (2023)

Yang GaoPhillip HelmsGarnet Kin-Lic ChanEdgar Solomonik

symmetryrepresentation theoryscientific computingcomputational mathematicsdense tensorsparallel computingcomputational sciencerepresentative contractionsmultilinear subspace learningcomputer algebrahigh performance computer architectureapplied mathematicstensor contractionscomputer sciencemathematicsparallel programming

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Edgar Solomonik

Professor Associate Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Edgar Solomonik is currently serving as a Siebel School Of Computing And Data Science Professor Associate Professor at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Edgar Solomonik

University of Illinois Urbana-Champaign

Professor Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Approximate Contraction of Arbitrary Tensor Networks With a Flexible and Efficient Density Matrix Algorithm. Quantum (2024)

Linjian MaMatthew FishmanEdwin Miles StoudenmireEdgar Solomonik

Minimum Cost Loop Nests for Contraction of a Sparse Tensor With a Tensor Network. arXiv (Cornell University) (2024)

Raghavendra KanakagiriEdgar Solomonik

Tensor Rank and Other Multipartite Entanglement Measures of Graph States. Physical review. A/Physical review, A (2024)

Louis SchatzkiLinjian MaEdgar SolomonikEric Chitambar

tensor rankstructural graph theorygraph theoryquantum sciencequantum mechanicsgraph analysisapplied mathematicsquantum entanglementmathematicsquantum information science

Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling. International Conference on Architectural Support for Programming Languages and Operating Systems (2023)

Toluwanimi O. OdemuyiwaHadi Asghari-MoghaddamMichael PellauerKartik HegdePo-An TsaiNeal C. CragoAamer JaleelJohn D. OwensEdgar SolomonikJoel S. EmerChristopher W. Fletcher

Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract). (2023)

Toluwanimi O. OdemuyiwaHadi Asghari-MoghaddamMichael PellauerKartik HegdePo-An TsaiNeal C. CragoAamer JaleelJohn D. OwensEdgar SolomonikJoel S. EmerChristopher W. Fletcher

Accelerating the Galerkin Reduced-Order Model With the Tensor Decomposition for Turbulent Flows. arXiv (Cornell University) (2023)

Tsai, Ping-HsuanFischer, PaulSolomonik, Edgar

Alternating Mahalanobis Distance Minimization for Accurate and Well-Conditioned Cp Decomposition. SIAM Journal on Scientific Computing (2023)

Navjot SinghEdgar Solomonik

Application Performance Modeling via Tensor Completion. (2023)

Edward HutterEdgar Solomonik

Automatic Transformation of Irreducible Representations for Efficient Contraction of Tensors With Cyclic Group Symmetry. SciPost Physics Codebases (2023)

Yang GaoPhillip HelmsGarnet Kin-Lic ChanEdgar Solomonik

symmetrycomputational mathematicsmodel compressionrepresentative contractionsapplied mathematicsirreducible representationstensor contractionsrepresentation theorymathematics

Codebase Release 1.3 for Symtensor. SciPost Physics Codebases (2023)

Yang GaoPhillip HelmsGarnet Kin-Lic ChanEdgar Solomonik

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high performance computer architecture

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Michael T Heath

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parallel programming model

parallel computing

David Padua

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software engineering

parallel programming model

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algorithmic library

numerical linear algebra

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performance modeling

design