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Generating Efficient Tensor Contractions for GPUs

2015 44th International Conference on Parallel Processing, 2015, p.969-978

2015

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Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing

High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2015, Vol.8966, p.249-263

2015

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An efficient recursive algorithm to compute wave function optimization gradients for the graphically contracted function method

International journal of quantum chemistry, 2010-12, Vol.110 (15), p.2938-2948

2010

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QContext: Context-Aware Decomposition for Quantum Gates

2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023, p.1-5

2023

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IEEE_Xplore

On the implementation of automatic differentiation tools

Higher-Order and Symbolic Computation, 2008-09, Vol.21 (3), p.311-331

2008

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Error Estimation and Correction Using the Forward CENA Method

Computational Science – ICCS 2021, p.765-778

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Exploiting Performance Portability in Search Algorithms for Autotuning

2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016, p.1535-1544

2016

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Modeling the Office of Science ten year facilities plan: The PERI Architecture Tiger Team

Journal of physics. Conference series, 2009-07, Vol.180 (1), p.012039

2009

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AutoMOMML: Automatic Multi-objective Modeling with Machine Learning

High Performance Computing, p.219-239

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Parallel simulation of compressible flow using automatic differentiation and PETSc

Parallel computing, 2001-03, Vol.27 (4), p.503-519

2001

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Enabling high performance computational science through combinatorial algorithms

Journal of physics. Conference series, 2007-07, Vol.78 (1), p.012058

2007

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Sensitivity analysis and design optimization through automatic differentiation

Journal of physics. Conference series, 2005-01, Vol.16 (1), p.466-470

2005

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Can search algorithms save large-scale automatic performance tuning?

Procedia computer science, 2011, Vol.4, p.2136-2145

2011

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An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning

High Performance Computing for Computational Science - VECPAR 2012, p.261-269

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Data-Flow Analysis for MPI Programs

2006 International Conference on Parallel Processing (ICPP'06), 2006, p.175-184

2006

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IEEE_Xplore

Verifying Properties of Differentiable Programs

Static Analysis, 2018, Vol.11002, p.205-222

2018

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Metrics and models for reordering transformations

Memory System Performance: Proceedings of the 2004 workshop on Memory system performance; 08-08 June 2004, 2004, p.23-34

2004

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Generating Performance Bounds from Source Code

2010 39th International Conference on Parallel Processing Workshops, 2010, p.197-206

2010

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IEEE_Xplore

POSTER: Energy-performance tradeoffs in multilevel checkpoint strategies

2014 IEEE International Conference on Cluster Computing (CLUSTER), 2014, p.278-279

2014

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Comparison of two activity analyses for automatic differentiation: context-sensitive flow-insensitive vs. context-insensitive flow-sensitive

Proceedings of the 2007 ACM symposium on Applied computing, 2007, p.1323-1329

2007

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Combinatorial algorithms for computational science and engineering

Journal of physics. Conference series, 2008, Vol.125 (1), p.012071

2008

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A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs

Advances in Automatic Differentiation, p.91-102

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Improving the Performance of Graph Coloring Algorithms through Backtracking

Computational Science – ICCS 2008, p.873-882

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Implementation of automatic differentiation tools

ACM/SIGPLAN Workshop Partial Evaluation and Semantics-Based Program Manipulation: Proceedings of the 2002 ACM SIGPLAN workshop on Partial evaluation and semantics-based program manipulation : Portland, Oregon; 14-15 Jan. 2002, 2002, p.98-107

2002

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Autotuning FPGA Design Parameters for Performance and Power

2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines, 2015, p.84-91

2015

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Generating Efficient Tensor Contractions for GPUs

Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing

An efficient recursive algorithm to compute wave function optimization gradients for the graphically contracted function method

QContext: Context-Aware Decomposition for Quantum Gates

On the implementation of automatic differentiation tools

Error Estimation and Correction Using the Forward CENA Method

Exploiting Performance Portability in Search Algorithms for Autotuning

Modeling the Office of Science ten year facilities plan: The PERI Architecture Tiger Team

AutoMOMML: Automatic Multi-objective Modeling with Machine Learning

Parallel simulation of compressible flow using automatic differentiation and PETSc

Enabling high performance computational science through combinatorial algorithms

Sensitivity analysis and design optimization through automatic differentiation

Can search algorithms save large-scale automatic performance tuning?

An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning

Data-Flow Analysis for MPI Programs

Verifying Properties of Differentiable Programs

Metrics and models for reordering transformations

Generating Performance Bounds from Source Code

POSTER: Energy-performance tradeoffs in multilevel checkpoint strategies

Comparison of two activity analyses for automatic differentiation: context-sensitive flow-insensitive vs. context-insensitive flow-sensitive

Combinatorial algorithms for computational science and engineering

A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs

Improving the Performance of Graph Coloring Algorithms through Backtracking

Implementation of automatic differentiation tools

Autotuning FPGA Design Parameters for Performance and Power

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