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Publication	Type	Year
Exploiting Geometric Partitioning in Task Mapping for Parallel Computes Mehmet Deveci, Karen D. Devine, Kevin Pedretti, Mark Alan Taylor, Sivasankaran Rajamanickam, Umit Catalyurek https://www.osti.gov/search/identifier:1436057	Report – 2018 Report	2018
Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments Mehmet Deveci, Simon David Hammond, Michael Wolf, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1435688	Report – 2018 Report	2018
Vector-friendly Batched BLAS and LAPACK Kernels : Design and Applications SIAM Parallel Processing Sivasankaran Rajamanickam, Kyungjoo Kim, Andrew Michael Bradley, Mehmet Deveci, Christian Robert Trott, Simon David Hammond https://www.osti.gov/search/identifier:1499085	Conference Paper – 2018 Conference Paper	2018
Multi-threaded Sparse Matrix Matrix Multiplication with Applications in Scientific Computing and Graph Analytics SIAM Parallel Processing Mehmet Deveci, Michael Wolf, Jonathan W. Berry, Sivasankaran Rajamanickam, Erik Gunnar Boman, Christian Robert Trott, Simon David Hammond, Stephen Lecler Olivier https://www.osti.gov/search/identifier:1498626	Conference Paper – 2018 Conference Paper	2018
KokkosKernels Overview ECP Annual meeting Sivasankaran Rajamanickam, Mehmet Deveci, Kyungjoo Kim, Christian Robert Trott https://www.osti.gov/search/identifier:1513718	Conference Paper – 2018 Conference Paper	2018
ExaGraph: Combinatorial Methods for Enabling Exascale Applications ECP Annual Meeting Test, Mahantesh Halappanavar, Aydin Buluc, Erik Gunnar Boman, Alex Pothen, Antonino Tumeo, Ariful Azad, Arif Khan, SM Ferdous, Sivasankaran Rajamanickam, Michael Wolf, Mehmet Deveci, Karen D. Devine https://www.osti.gov/search/identifier:1513892	Display or Poster (non-conference) – 2018 Display or Poster (non-conference)	2018
Parallel Distance 2 Graph Coloring for Algebraic Multigrid Preconditioners 2018 SIAM Annual Meeting William C. McLendon, Mehmet Deveci https://www.osti.gov/search/identifier:1513670	Conference Paper – 2018 Conference Paper	2018
Kokkoskernels: Portable Math and Graph Kernels GPU Technology Conference Sivasankaran Rajamanickam, Kyungjoo Kim, Mehmet Deveci, Christian Robert Trott https://www.osti.gov/search/identifier:1513447	Conference Paper – 2018 Conference Paper	2018
Multi-threaded Sparse Matrix Sparse Matrix Multiplication for Many-Core and GPU Architectures Mehmet Deveci, Christian Robert Trott, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1417260	Report – 2018 Report	2018
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures Parallel Computing Mehmet Deveci, Sivasankaran Rajamanickam, Christian Robert Trott https://www.osti.gov/search/identifier:1466997	Journal Article – 2017 Journal Article	2017
KokkosKernels: Performance-Portable Sparse, Dense and Graph Kernels ECP Annual Meeting Sivasankaran Rajamanickam, Andrew Michael Bradley, Mehmet Deveci, Mark Frederick Hoemmen, Simon David Hammond, Kyungjoo Kim, Christian Robert Trott https://www.osti.gov/search/identifier:1484925	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Applications of Compact Batched Kernels Supercomputing Sivasankaran Rajamanickam, Andrew Michael Bradley, Mehmet Deveci, Kyungjoo Kim, Christian Robert Trott https://www.osti.gov/search/identifier:1484922	Conference Paper – 2017 Conference Paper	2017
Kokkoskernels Trilinos User Group Meeting Sivasankaran Rajamanickam, Andrew Michael Bradley, Mehmet Deveci, Kyungjoo Kim, Christian Robert Trott https://www.osti.gov/search/identifier:1484924	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Designing Vector-Friendly Compact BLAS and LAPACK Kernels Supercomputing Sivasankaran Rajamanickam, Shane Story, Sarah Knepper, Murat Guney, Simon David Hammond, Andrew Michael Bradley, Mehmet Deveci, Tim Costa, Kyungjoo Kim https://www.osti.gov/search/identifier:1503430	Conference Paper – 2017 Conference Paper	2017
Performance-Portable Sparse Matrix-Matrix Multiplication for Many-Core Architectures IEEE International Conference on Parallel and Distributed Processing Mehmet Deveci, Christian Robert Trott, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1503429	Conference Paper – 2017 Conference Paper	2017
Designing Vector-Friendly Compact BLAS and LAPACK Kernels The International Conference for High Performance Computing, Networking, Storage and Analysis (SC17) Kyungjoo Kim, Timothy B. Costa, Mehmet Deveci, Andrew Michael Bradley, Simon David Hammond, Murat E. Gunner, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1513071	Conference Paper – 2017 Conference Paper	2017
KKTri: Fast Linear Algebra-Based Triangle Counting with KokkosKernels Supercomputing 2017 Michael Wolf, Mehmet Deveci, Jonathan W. Berry, Simon David Hammond, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1480379	Conference Paper – 2017 Conference Paper	2017
Performance Portable Line Smoother for Multiphysics Problems using Compact Batched BLAS BLIS Retreat 2017 Kyungjoo Kim, Mehmet Deveci, Andrew Michael Bradley, Simon David Hammond, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1474031	Conference Paper – 2017 Conference Paper	2017
Designing Vector-Friendly Compact BLAS and LAPACK Kernels The International Conference for High Performance Computing, Networking, Storage and Analysis (SC17) Kyungjoo Kim, Timothy B. Costa, Mehmet Deveci, Andrew Michael Bradley, Simon David Hammond, Murat E. Guney, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1513342	Conference Paper – 2017 Conference Paper	2017
Fast Linear Algebra-Based Triangle Counting with KokkosKernels Ieee Hpec Michael Wolf, Mehmet Deveci, Jonathan W. Berry, Simon David Hammond, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1470929	Conference Paper – 2017 Conference Paper	2017
Task Placement to Reduce Application Communication Costs Sandia CIS External Review Board Karen D. Devine, James M. Brandt, Mehmet Deveci, Ann C. Gentile, Vitus J. Leung, Stephen Lecler Olivier, Kevin Pedretti, Sivasankaran Rajamanickam, Mark Alan Taylor https://www.osti.gov/search/identifier:1467790	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Fast Linear Algebra-Based Triangle Counting with KokkosKernels IEEE High Performance Extreme Computing Conference (Graph Challenge) Michael Wolf, Mehmet Deveci, Jonathan W. Berry, Simon David Hammond, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1466485	Conference Paper – 2017 Conference Paper	2017
Performance Portable Sparse Matrix Matrix Multiplication with Applications in Scientific Computing and Graph Analytics CIS External Review Board Mehmet Deveci, Christian Robert Trott, Simon David Hammond, Michael Wolf, Jonathan W. Berry, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1466104	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Fast Linear Algebra-Based Triangle Counting with KokkosKernels IEEE High Performance Extreme Computing Conference (Graph Challenge) Michael Wolf, Mehmet Deveci, Jonathan W. Berry, Simon David Hammond, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1506222	Conference Paper – 2017 Conference Paper	2017
ShyLU: A Collection of Node-Scalable Sparse Linear Solvers Siam Cse 2017 Sivasankaran Rajamanickam, Andrew Michael Bradley, Kyungjoo Kim, Erik Gunnar Boman, Mehmet Deveci https://www.osti.gov/search/identifier:1426409	Conference Paper – 2017 Conference Paper	2017
Document Title	Type	Year

Results 1–25 of 38

Publications

Exploiting Geometric Partitioning in Task Mapping for Parallel Computes

Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments

Vector-friendly Batched BLAS and LAPACK Kernels : Design and Applications

Multi-threaded Sparse Matrix Matrix Multiplication with Applications in Scientific Computing and Graph Analytics

KokkosKernels Overview

ExaGraph: Combinatorial Methods for Enabling Exascale Applications

Parallel Distance 2 Graph Coloring for Algebraic Multigrid Preconditioners

Kokkoskernels: Portable Math and Graph Kernels

Multi-threaded Sparse Matrix Sparse Matrix Multiplication for Many-Core and GPU Architectures

Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures

KokkosKernels: Performance-Portable Sparse, Dense and Graph Kernels

Applications of Compact Batched Kernels

Kokkoskernels

Designing Vector-Friendly Compact BLAS and LAPACK Kernels

Performance-Portable Sparse Matrix-Matrix Multiplication for Many-Core Architectures

Designing Vector-Friendly Compact BLAS and LAPACK Kernels

KKTri: Fast Linear Algebra-Based Triangle Counting with KokkosKernels

Performance Portable Line Smoother for Multiphysics Problems using Compact Batched BLAS

Designing Vector-Friendly Compact BLAS and LAPACK Kernels

Fast Linear Algebra-Based Triangle Counting with KokkosKernels

Task Placement to Reduce Application Communication Costs

Fast Linear Algebra-Based Triangle Counting with KokkosKernels

Performance Portable Sparse Matrix Matrix Multiplication with Applications in Scientific Computing and Graph Analytics

Fast Linear Algebra-Based Triangle Counting with KokkosKernels

ShyLU: A Collection of Node-Scalable Sparse Linear Solvers