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Ginkgo : A Modern Linear Operator Algebra Framework for High Performance Computing

https://doi.org/10.1145/3480935
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.4460openalex-snapshot
Adaptive precision in block‐Jacobi preconditioning for iterative sparse linear system solvers
inferredcites →https://doi.org/10.1007/978-3-030-50743-5_16openalex-snapshot
Sparse Linear Algebra on AMD and NVIDIA GPUs – The Race Is On
inferredcites →https://doi.org/10.1007/978-3-030-57675-2_34openalex-snapshot
Multiprecision Block-Jacobi for Iterative Triangular Solves
inferredcites →https://doi.org/10.1007/978-3-030-71593-9_9openalex-snapshot
Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP
inferredcites →https://doi.org/10.1007/978-3-319-20119-1_1openalex-snapshot
Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs
inferredcites →https://doi.org/10.1007/978-3-319-46079-6_34openalex-snapshot
GPU-STREAM v2.0: Benchmarking the Achievable Memory Bandwidth of Many-Core Processors Across Diverse Parallel Programming Models
inferredcites →https://doi.org/10.1007/978-3-662-48096-0_50openalex-snapshot
Iterative Sparse Triangular Solves for Preconditioning
inferredcites →https://doi.org/10.1016/j.camwa.2020.06.009openalex-snapshot
MFEM: A modular finite element methods library
inferredcites →https://doi.org/10.1016/j.parco.2017.10.003openalex-snapshot
Incomplete Sparse Approximate Inverses for Parallel Preconditioning
inferredcites →https://doi.org/10.1016/j.parco.2017.12.006openalex-snapshot
Variable-size batched Gauss–Jordan elimination for block-Jacobi preconditioning on graphics processors
inferredcites →https://doi.org/10.1109/ipdps31752.2015openalex-snapshot
2015 IEEE International Parallel and Distributed Processing Symposium
inferredcites →https://doi.org/10.1137/1.9780898718003openalex-snapshot
Iterative Methods for Sparse Linear Systems
inferredcites →https://doi.org/10.1137/1.9780898719604openalex-snapshot
LAPACK Users' Guide
inferredcites →https://doi.org/10.1137/16m1079506openalex-snapshot
ParILUT---A New Parallel Threshold ILU Factorization
inferredcites →https://doi.org/10.1145/3324989.3325719openalex-snapshot
Towards Continuous Benchmarking
inferredcites →https://doi.org/10.1145/3441850openalex-snapshot
Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software
inferredcites →https://doi.org/10.1145/355841.355847openalex-snapshot
Basic Linear Algebra Subprograms for Fortran Usage
inferredcites →https://doi.org/10.1177/1094342019846287openalex-snapshot
PAPI software-defined events for in-depth performance analysis
inferredcites →https://doi.org/10.1515/jnma-2018-0054openalex-snapshot
The deal.II library, Version 9.0
inferredcites →https://doi.org/10.21105/joss.02260openalex-snapshot
Ginkgo: A high performance numerical linear algebra library
inferredcites →https://doi.org/10.5555/229227.229229openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Accelerating Electrostatics Simulations with GPUs
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inferred← citeshttps://doi.org/10.1016/j.parco.2022.102902openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132896openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdpsw59300.2023.00125openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00012openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/micro61859.2024.00054openalex-snapshot
Azul: An Accelerator for Sparse Iterative Solvers Leveraging Distributed On-Chip Memory
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PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications
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StructILU: Dependency-Preserving Incomplete LU with Hierarchical Parallelism for Structured Grid PDEs on GPUs
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SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations
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PETSc/TAO developments for GPU-based early exascale systems
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MERBIT: A GPU-Based SpMV Method for Iterative Workloads
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