Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Intel Xeon Phi

2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ◽

10.1109/ipdpsw.2017.134 ◽

2017 ◽

Author(s):

Athena Elafrou ◽

Georgios Goumas ◽

Nectarios Koziris

Keyword(s):

Performance Analysis ◽

Sparse Matrix ◽

Xeon Phi ◽

Intel Xeon Phi ◽

Matrix Vector Multiplication ◽

Matrix Vector ◽

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Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi

2015 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) ◽

10.1109/cgo.2015.7054194 ◽

2015 ◽

Author(s):

Wai Teng Tang ◽

Ruizhe Zhao ◽

Mian Lu ◽

Yun Liang ◽

Huynh Phung Huyng ◽

...

Keyword(s):

Sparse Matrix ◽

Xeon Phi ◽

Intel Xeon Phi ◽

Matrix Vector Multiplication ◽

Auto Tuning ◽

Matrix Vector ◽

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Efficient sparse matrix-matrix multiplication for computing periodic responses by shooting method on Intel Xeon Phi

10.1063/1.4965016 ◽

2016 ◽

Author(s):

S. Stoykov ◽

E. Atanassov ◽

S. Margenov

Keyword(s):

Shooting Method ◽

Sparse Matrix ◽

Matrix Multiplication ◽

Xeon Phi ◽

Intel Xeon Phi ◽

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Performance Analysis of CUDA by Implementation of Hypergraph Partitioning for Parallelizing Sparse Matrix-Vector Multiplication Using Quadro K4200

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/854/1/012057 ◽

2020 ◽

Vol 854 ◽

pp. 012057

Author(s):

Murni ◽

T Handhika

Keyword(s):

Performance Analysis ◽

Sparse Matrix ◽

Hypergraph Partitioning ◽

Matrix Vector Multiplication ◽

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Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors

2017 46th International Conference on Parallel Processing (ICPP) ◽

10.1109/icpp.2017.38 ◽

2017 ◽

Author(s):

Athena Elafrou ◽

Georgios Goumas ◽

Nectarios Koziris

Keyword(s):

Performance Analysis ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Many Core ◽

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Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

Parallel Processing and Applied Mathematics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-55224-3_52 ◽

2014 ◽

pp. 559-570 ◽

Author(s):

Erik Saule ◽

Kamer Kaya ◽

Ümit V. Çatalyürek

Keyword(s):

Performance Evaluation ◽

Sparse Matrix ◽

Matrix Multiplication ◽

Xeon Phi ◽

Intel Xeon Phi ◽

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Parallel Sparse Matrix Vector Multiplication on Intel MIC: Performance Analysis

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Smart Societies, Infrastructure, Technologies and Applications ◽

10.1007/978-3-319-94180-6_29 ◽

2018 ◽

pp. 306-322 ◽

Author(s):

Hana Alyahya ◽

Rashid Mehmood ◽

Iyad Katib

Keyword(s):

Performance Analysis ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector ◽

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A Fully Structure-Driven Performance Analysis of Sparse Matrix-Vector Multiplication

Proceedings of the ACM/SPEC International Conference on Performance Engineering ◽

10.1145/3358960.3379131 ◽

2020 ◽

Author(s):

Prabhjot Sandhu ◽

Clark Verbrugge ◽

Laurie Hendren

Keyword(s):

Performance Analysis ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

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Performance Analysis of Intel Xeon Phi MICs and Intel Xeon CPUs for Solving Dense Systems of Linear Algebraic Equations: Case Study of Boundary Element Method for Flow Around Airfoils

Advanced Computing in Industrial Mathematics - Studies in Computational Intelligence ◽

10.1007/978-3-319-97277-0_30 ◽

2018 ◽

pp. 369-381 ◽

Author(s):

D. Slavchev ◽

S. Margenov

Keyword(s):

Boundary Element Method ◽

Performance Analysis ◽

Boundary Element ◽

Xeon Phi ◽

Algebraic Equations ◽

Intel Xeon Phi ◽

Linear Algebraic Equations ◽

Element Method ◽

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Performance analysis of distributed symmetric sparse matrix vector multiplication algorithm for multi-core architectures

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.3499 ◽

2015 ◽

Vol 27 (17) ◽

pp. 5019-5036 ◽

Author(s):

Dossay Oryspayev ◽

Hasan Metin Aktulga ◽

Masha Sosonkina ◽

Pieter Maris ◽

James P. Vary

Keyword(s):

Performance Analysis ◽

Sparse Matrix ◽

Multiplication Algorithm ◽

Matrix Vector Multiplication ◽

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Efficient Sparse Matrix-vector Multiplication for Geophysical Electromagnetic Codes on Xeon Phi Coprocessors

Second EAGE Workshop on High Performance Computing for Upstream ◽

10.3997/2214-4609.201414033 ◽

2015 ◽

Author(s):

S. Rodriguez Bernabeu ◽

V. Puzyrev ◽

M. Hanzich ◽

S. Fernandez

Keyword(s):

Sparse Matrix ◽

Xeon Phi ◽

Matrix Vector Multiplication ◽

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