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Sympiler: transforming sparse matrix codes by decoupling symbolic analysis.

, , , and . SC, page 13:1-13:13. ACM, (2017)

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Parallel Sparse Approximate Inverse Preconditioning on Graphic Processing Units., , , and . IEEE Trans. Parallel Distrib. Syst., 24 (9): 1852-1862 (2013)MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations., , , and . CoRR, (2018)CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms., , and . ICPP, page 21:1-21:10. ACM, (2018)Sparse Matrix Code Dependence Analysis Simplification at Compile Time., , , , , , , and . CoRR, (2018)ParSy: inspection and transformation of sparse matrix computations for parallelism., , , and . SC, page 62:1-62:15. IEEE / ACM, (2018)Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil., , , , , , and . IJHPCA, 28 (3): 301-318 (2014)Avoiding Communication in Proximal Methods for Convex Optimization Problems., , , , and . CoRR, (2017)A Unified Optimization Approach for Sparse Tensor Operations on GPUs., , , and . CoRR, (2017)MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures., , , , , , , , and . IPDPS, page 809-818. IEEE Computer Society, (2014)Extending Index-Array Properties for Data Dependence Analysis., , , , , and . LCPC, volume 11882 of Lecture Notes in Computer Science, page 78-93. Springer, (2018)