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cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs

https://doi.org/10.1002/cpe.4909
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.3728openalex-snapshot
Energy‐efficient scheduling algorithms for batch‐of‐tasks (BoT) applications on heterogeneous computing systems
inferredcites →https://doi.org/10.1007/978-3-319-78024-5_22openalex-snapshot
NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch
inferredcites →https://doi.org/10.1016/j.cpc.2013.12.026openalex-snapshot
Fast finite difference Poisson solvers on heterogeneous architectures
inferredcites →https://doi.org/10.1016/j.ocemod.2003.10.002openalex-snapshot
Evaluation of vertical coordinate and vertical mixing algorithms in the HYbrid-Coordinate Ocean Model (HYCOM)
inferredcites →https://doi.org/10.1016/j.procs.2017.05.138openalex-snapshot
The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems
inferredcites →https://doi.org/10.1016/j.procs.2017.05.145openalex-snapshot
cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project * *This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the…
inferredcites →https://doi.org/10.1109/icpp.2011.41openalex-snapshot
A Scalable Tridiagonal Solver for GPUs
inferredcites →https://doi.org/10.1109/ipdps.2011.92openalex-snapshot
An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU
inferredcites →https://doi.org/10.1109/ispa.2012.91openalex-snapshot
Block Tridiagonal Solvers on Heterogeneous Architectures
inferredcites →https://doi.org/10.1137/0911032openalex-snapshot
Optimizing Tridiagonal Solvers for Alternating Direction Methods on Boolean Cube Multiprocessors
inferredcites →https://doi.org/10.1137/1.9781611970937openalex-snapshot
Iterative Methods for Solving Linear Systems
inferredcites →https://doi.org/10.1145/1693453.1693472openalex-snapshot
Fast tridiagonal solvers on the GPU
inferredcites →https://doi.org/10.1145/1837853.1693472openalex-snapshot
Fast tridiagonal solvers on the GPU
inferredcites →https://doi.org/10.12694/scpe.v17i1.1148openalex-snapshot
Many-Task Computing on Many-Core Architectures
inferredcites →https://doi.org/10.2307/2003277openalex-snapshot
Elementary Numerical Analysis: An Algorithmic Approach

What points at this work

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

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inferred← citeshttps://doi.org/10.1007/978-3-031-23606-8_3openalex-snapshot
Preconditioners for Batched Iterative Linear Solvers on GPUs
inferred← citeshttps://doi.org/10.1007/978-3-031-31209-0_2openalex-snapshot
A Portable and Heterogeneous LU Factorization on IRIS
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Accelerating Fusion Plasma Collision Operator Solves with Portable Batched Iterative Solvers on GPUs
inferred← citeshttps://doi.org/10.1007/978-3-032-02436-7_1openalex-snapshot
SEER: An On-node Performance-Portable C++ Library for Heterogeneous Systems
inferred← citeshttps://doi.org/10.1007/s11227-023-05641-1openalex-snapshot
swPTS: an efficient parallel Thomas split algorithm for tridiagonal systems on Sunway manycore processors
inferred← citeshttps://doi.org/10.1016/j.cpc.2019.03.016openalex-snapshot
cuPentBatch—A batched pentadiagonal solver for NVIDIA GPUs
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2021.109400openalex-snapshot
NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.11.004openalex-snapshot
Batched transpose-free ADI-type preconditioners for a Poisson solver on GPGPUs
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.12.002openalex-snapshot
sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library)
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.03.012openalex-snapshot
Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs
inferred← citeshttps://doi.org/10.1016/j.parco.2019.03.006openalex-snapshot
MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain
inferred← citeshttps://doi.org/10.1093/molbev/msaa305openalex-snapshot
dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units
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Scaling laws governing the collapse of a Bose-Einstein condensate
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A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library)
inferred← citeshttps://doi.org/10.1109/empdp.2019.8671545openalex-snapshot
BLAS-3 Optimized by OmpSs Regions (LASs Library)
inferred← citeshttps://doi.org/10.1109/ia356718.2022.00010openalex-snapshot
SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization
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Extremely Fast and Energy Efficient One-way Wave Equation Migration on GPU-based heterogeneous architecture
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00024openalex-snapshot
Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations
inferred← citeshttps://doi.org/10.1109/rsdha56811.2022.00007openalex-snapshot
LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS
inferred← citeshttps://doi.org/10.1109/scala54577.2021.00010openalex-snapshot
Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs
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Interactive Hair Simulation on the GPU using ADMM
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Porting Batched Iterative Solvers onto Intel GPUs with SYCL
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MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime
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ChatMPI: LLM-Driven MPI Code Generation for HPC Workloads
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