On the public citation graph
Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs
0 signed · 60 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.4187openalex-snapshot
A framework for dense triangular matrix kernels on various manycore architectures
inferredcites →https://doi.org/10.1007/11558958_3openalex-snapshot
Management of Deep Memory Hierarchies – Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Computations
inferredcites →https://doi.org/10.1007/3-540-70734-4_7openalex-snapshot
LAWRA Linear Algebra with Recursive Algorithms
inferredcites →https://doi.org/10.1007/978-3-319-20119-1_3openalex-snapshot
A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations
inferredcites →https://doi.org/10.1007/978-3-319-41321-1_2openalex-snapshot
Performance, Design, and Autotuning of Batched GEMM for GPUs
inferredcites →https://doi.org/10.1007/978-3-319-43659-3_35openalex-snapshot
Redesigning Triangular Dense Matrix Computations on GPUs
inferredcites →https://doi.org/10.1007/978-3-319-43659-3_48openalex-snapshot
High-Performance Matrix-Matrix Multiplications of Very Small Matrices
inferredcites →https://doi.org/10.1007/978-3-319-58667-0_2openalex-snapshot
Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures
inferredcites →https://doi.org/10.1007/978-3-642-38718-0_10openalex-snapshot
Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators
inferredcites →https://doi.org/10.1007/978-3-642-40047-6_81openalex-snapshot
Power/Performance Trade-Offs of Small Batched LU Based Solvers on GPUs
inferredcites →https://doi.org/10.1007/s006070050015openalex-snapshot
A Sparse Matrix Arithmetic Based on $\Cal H$ -Matrices. Part I: Introduction to ${\Cal H}$ -Matrices
inferredcites →https://doi.org/10.1007/s10915-013-9805-xopenalex-snapshot
Exploiting Batch Processing on Streaming Architectures to Solve 2D Elliptic Finite Element Problems: A Hybridized Discontinuous Galerkin (HDG) Case Study
inferredcites →https://doi.org/10.1016/j.jocs.2016.12.009openalex-snapshot
Fast Cholesky factorization on GPUs for batch and native modes in MAGMA
inferredcites →https://doi.org/10.1016/j.parco.2017.09.001openalex-snapshot
Batched QR and SVD algorithms on GPUs with applications in hierarchical matrix compression
inferredcites →https://doi.org/10.1016/j.procs.2016.05.302openalex-snapshot
High-performance Tensor Contractions for GPUs
inferredcites →https://doi.org/10.1016/j.procs.2016.05.303openalex-snapshot
Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs
inferredcites →https://doi.org/10.1016/s0167-8191(01)00141-7openalex-snapshot
PaStiX: a high-performance parallel direct solver for sparse symmetric positive definite systems
inferredcites →https://doi.org/10.1063/1.4772121openalex-snapshot
Level-3 BLAS on a GPU: Picking the low hanging fruit
inferredcites →https://doi.org/10.1109/hpcc.2014.30openalex-snapshot
LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU
inferredcites →https://doi.org/10.1109/icpp.2014.52openalex-snapshot
A Fast Batched Cholesky Factorization on a GPU
inferredcites →https://doi.org/10.1109/ipdpsw.2016.190openalex-snapshot
On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures
inferredcites →https://doi.org/10.1109/ispass.2014.6844463openalex-snapshot
Applying the roofline model
inferredcites →https://doi.org/10.1109/synasc.2014.70openalex-snapshot
Register Caching for Stencil Computations on GPUs
inferredcites →https://doi.org/10.1109/tpds.2015.2481890openalex-snapshot
Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs
inferredcites →https://doi.org/10.1137/15m1025785openalex-snapshot
PCBDDC: A Class of Robust Dual-Primal Methods in PETSc
inferredcites →https://doi.org/10.1137/s0036144503428693openalex-snapshot
Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software
inferredcites →https://doi.org/10.1137/s1064827502412887openalex-snapshot
A Preconditioner for Substructuring Based on Constrained Energy Minimization
inferredcites →https://doi.org/10.1145/1377603.1377607openalex-snapshot
High-performance implementation of the level-3 BLAS
inferredcites →https://doi.org/10.1145/2688500.2688534openalex-snapshot
Towards batched linear solvers on accelerated hardware platforms
inferredcites →https://doi.org/10.1145/2716282.2716288openalex-snapshot
Optimization for performance and energy for batched matrix computations on GPUs
inferredcites →https://doi.org/10.1145/42288.42291openalex-snapshot
An extended set of FORTRAN basic linear algebra subprograms
inferredcites →https://doi.org/10.1147/rd.444.0605openalex-snapshot
Applying recursion to serial and parallel QR factorization leads to better performance
inferredcites →https://doi.org/10.1177/1094342014567546openalex-snapshot
RETRACTED: Batched matrix computations on hardware accelerators based on GPUs
inferredcites →https://doi.org/10.14529/jsfi150405openalex-snapshot
Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems
inferredcites →https://doi.org/10.5555/333825.333827openalex-snapshot
A sparse H -matrix arithmetic. Part II
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-96983-1_57openalex-snapshot
Tile Low-Rank GEMM Using Batched Operations on GPUs
inferred← citeshttps://doi.org/10.1007/s00607-020-00827-4openalex-snapshot
GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices
inferred← citeshttps://doi.org/10.1007/s10915-018-0809-4openalex-snapshot
Algorithmic Patterns for $$\mathcal {H}$$-Matrices on Many-Core Processors
inferred← citeshttps://doi.org/10.1007/s11227-021-03936-9openalex-snapshot
A high-performance batched matrix multiplication framework for GPUs under unbalanced input distribution
inferred← citeshttps://doi.org/10.1016/j.parco.2017.09.001openalex-snapshot
Batched QR and SVD algorithms on GPUs with applications in hierarchical matrix compression
inferred← citeshttps://doi.org/10.1016/j.parco.2022.102897openalex-snapshot
High performance sparse multifrontal solvers on modern GPUs
inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00037openalex-snapshot
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00066openalex-snapshot
Batched LU Factorization With Fast Row Interchanges for Small Matrices on GPUs
inferred← citeshttps://doi.org/10.1109/iceitsa57468.2022.00065openalex-snapshot
Parallel Solution of Small and Medium Sized Linear Equations Based on GPU
inferred← citeshttps://doi.org/10.1137/21m1450112openalex-snapshot
Leveraging GPU Batching for Scalable Nonlinear Programming through Massive Lagrangian Decomposition
inferred← citeshttps://doi.org/10.1145/3472456.3473519openalex-snapshot
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
inferred← citeshttps://doi.org/10.1145/3577193.3593731openalex-snapshot
Using Additive Modifications in LU Factorization Instead of Pivoting
inferred← citeshttps://doi.org/10.1145/3595178openalex-snapshot
Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors
inferred← citeshttps://doi.org/10.1145/3774934.3786442openalex-snapshot
Trojan Horse: Aggregate-and-Batch for Scaling Up Sparse Direct Solvers on GPU Clusters
inferred← citeshttps://doi.org/10.14529/jsfi210201openalex-snapshot
Accelerating Seismic Redatuming Using Tile Low-Rank Approximations on NEC SX-Aurora TSUBASA
inferred← citeshttps://doi.org/10.48550/arxiv.1708.09707openalex-snapshot
Algorithmic patterns for $\mathcal{H}$-matrices on many-core processors
inferred← citeshttps://doi.org/10.48550/arxiv.2110.13042openalex-snapshot
Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
inferred← citeshttps://doi.org/10.62227/as/74s213openalex-snapshot
Research on Experimental Hierarchical Design and Effect of Matlab-Oriented Linear Algebra
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.