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Technical Report on Hypergraph-Partitioning-Based Models and Methods for Exploiting Cache Locality in Sparse-Matrix Vector Multiplication.

, , and . CoRR, (2012)

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Simultaneous Input and Output Matrix Partitioning for Outer-Product-Parallel Sparse Matrix-Matrix Multiplication., and . SIAM J. Sci. Comput., (2014)Exploiting Data Sparsity for Large-Scale Matrix Computations., , , , , and . Euro-Par, volume 11014 of Lecture Notes in Computer Science, page 721-734. Springer, (2018)Hypergraph models for parallel sparse matrix-matrix multiplication (Paralel seyrek matris-matris çarpımı için hiperçizge modelleri). İhsan Doğramacı Bilkent University, Turkey, (2015)Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization., , , , , , and . ISC, volume 12151 of Lecture Notes in Computer Science, page 209-229. Springer, (2020)Leveraging the High Bandwidth of Last-Level Cache for HPC Seismic Imaging Applications., , , , , and . PASC, page 22:1-22:13. ACM, (2024)Technical Report on Hypergraph-Partitioning-Based Models and Methods for Exploiting Cache Locality in Sparse-Matrix Vector Multiplication., , and . CoRR, (2012)Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era., , , , , , , , and . P3HPC@SC, page 36-46. IEEE, (2022)Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems., , , , , , and . IPDPS, page 79-89. IEEE, (2021)Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools., , , , , , , , and . ProTools@SC, page 25-32. IEEE, (2019)Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures., , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 22-40. Springer, (2017)