On the public citation graph
Multifrontal Factorization of Sparse SPD Matrices on GPUs
0 signed · 54 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-642-01970-8_87openalex-snapshot
Solving Sparse Linear Systems on NVIDIA Tesla GPUs
inferredcites →https://doi.org/10.1007/978-3-642-19328-6_11openalex-snapshot
A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators
inferredcites →https://doi.org/10.1007/978-3-642-19328-6_9openalex-snapshot
Multifrontal Computations on GPUs and Their Multi-core Hosts
inferredcites →https://doi.org/10.1109/71.598277openalex-snapshot
Highly scalable parallel algorithms for sparse matrix factorization
inferredcites →https://doi.org/10.1109/sc.2005.42openalex-snapshot
LU-GPU: Efficient Algorithms for Solving Dense Linear Systems on Graphics Hardware
inferredcites →https://doi.org/10.1109/sc.2008.5214359openalex-snapshot
Benchmarking GPUs to tune dense linear algebra
inferredcites →https://doi.org/10.1137/1034004openalex-snapshot
The Multifrontal Method for Sparse Matrix Solution: Theory and Practice
inferredcites →https://doi.org/10.1145/1198555.1198781openalex-snapshot
Sparse matrix solvers on the GPU
inferredcites →https://doi.org/10.1145/1236463.1236465openalex-snapshot
A numerical evaluation of sparse direct solvers for the solution of large sparse symmetric linear systems of equations
inferredcites →https://doi.org/10.1145/1654059.1654061openalex-snapshot
Sparse matrix factorization on massively parallel computers
inferredcites →https://doi.org/10.1145/356044.356047openalex-snapshot
The Multifrontal Solution of Indefinite Sparse Symmetric Linear
inferredcites →https://doi.org/10.1145/882262.882364openalex-snapshot
Sparse matrix solvers on the GPU
inferredcites →https://doi.org/10.1147/rd.502.0223openalex-snapshot
Self-adapting numerical software (SANS) effort
inferredcites →https://doi.org/10.5555/1413370.1413402openalex-snapshot
Benchmarking GPUs to tune dense linear algebra
inferredcites →https://doi.org/10.5555/509058.509096openalex-snapshot
Automatically Tuned Linear Algebra Software
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4684496openalex-extracted
Fully Parallel and Pipelined Sparse Direct Solver for Large Symmetric Indefinite Finite Element Problems
inferred← citeshttps://doi.org/10.2139/ssrn.4814522openalex-extracted
Fully Parallel and Pipelined Sparse Direct Solver for Large Symmetric Indefinite Finite Element Problems
inferred← citeshttps://doi.org/10.1002/cpe.3158openalex-snapshot
Supernodal sparse Cholesky factorization on graphics processing units
inferred← citeshttps://doi.org/10.1007/978-3-319-09873-9_41openalex-snapshot
A Distributed CPU-GPU Sparse Direct Solver
inferred← citeshttps://doi.org/10.1007/978-3-319-43659-3_49openalex-snapshot
Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization
inferred← citeshttps://doi.org/10.1007/s11265-017-1227-9openalex-snapshot
A Hybrid CPU-GPU Multifrontal Optimizing Method in Sparse Cholesky Factorization
inferred← citeshttps://doi.org/10.1007/s11831-013-9082-8openalex-snapshot
GPU Acceleration for FEM-Based Structural Analysis
inferred← citeshttps://doi.org/10.1016/j.advengsoft.2017.09.001openalex-snapshot
An improved direct linear equation solver using multi-GPU in multi-body dynamics
inferred← citeshttps://doi.org/10.1016/j.camwa.2014.01.013openalex-snapshot
Performance models and workload distribution algorithms for optimizing a hybrid CPU–GPU multifrontal solver
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.03.004openalex-snapshot
A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems
inferred← citeshttps://doi.org/10.1016/j.parco.2016.06.004openalex-snapshot
Accelerating sparse Cholesky factorization on GPUs
inferred← citeshttps://doi.org/10.1017/s0962492916000076openalex-snapshot
A survey of direct methods for sparse linear systems
inferred← citeshttps://doi.org/10.1109/access.2022.3193785openalex-snapshot
Algorithmic Advancements and a Comparative Investigation of Left and Right Looking Sparse LU Factorization on GPU Platform for Circuit Simulation
inferred← citeshttps://doi.org/10.1109/asap.2015.7245714openalex-snapshot
GPU-based multifrontal optimizing method in sparse Cholesky factorization
inferred← citeshttps://doi.org/10.1109/ia335182.2014.10612387openalex-snapshot
Accelerating Sparse Cholesky Factorization on GPUs
inferred← citeshttps://doi.org/10.1109/ipdps.2015.104openalex-snapshot
A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.9openalex-snapshot
Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes
inferred← citeshttps://doi.org/10.1109/jproc.2018.2868961openalex-snapshot
Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators
inferred← citeshttps://doi.org/10.1109/mdat.2020.2974910openalex-snapshot
GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
inferred← citeshttps://doi.org/10.1109/pact.2019.00033openalex-snapshot
Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs
inferred← citeshttps://doi.org/10.1109/pesmg.2013.6673057openalex-snapshot
Exploration of multifrontal method with GPU in power flow computation
inferred← citeshttps://doi.org/10.1109/tcad.2020.3046572openalex-snapshot
GPU-Accelerated Adaptive PCBSO Mode-Based Hybrid RLA for Sparse LU Factorization in Circuit Simulation
inferred← citeshttps://doi.org/10.1109/tpds.2014.2312199openalex-snapshot
GPU-Accelerated Sparse LU Factorization for Circuit Simulation with Performance Modeling
inferred← citeshttps://doi.org/10.1109/tpds.2015.2481890openalex-snapshot
Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs
inferred← citeshttps://doi.org/10.1109/tpds.2019.2953852openalex-snapshot
Accelerating Sparse Cholesky Factorization on Sunway Manycore Architecture
inferred← citeshttps://doi.org/10.1109/tvlsi.2018.2858014openalex-snapshot
Dynamic GPU Parallel Sparse LU Factorization for Fast Circuit Simulation
inferred← citeshttps://doi.org/10.1145/2535753.2535763openalex-snapshot
Nonzero pattern analysis and memory access optimization in GPU-based sparse LU factorization for circuit simulation
inferred← citeshttps://doi.org/10.1145/2756548openalex-snapshot
A Sparse Symmetric Indefinite Direct Solver for GPU Architectures
inferred← citeshttps://doi.org/10.1145/3332466.3374533openalex-snapshot
A supernodal all-pairs shortest path algorithm
inferred← citeshttps://doi.org/10.1145/3458744.3473366openalex-snapshot
Design Considerations for GPU-based Mixed Integer Programming on Parallel Computing Platforms
inferred← citeshttps://doi.org/10.1145/3572848.3577486openalex-snapshot
End-to-End LU Factorization of Large Matrices on GPUs
inferred← citeshttps://doi.org/10.1145/3613424.3623783openalex-snapshot
Spatula: A Hardware Accelerator for Sparse Matrix Factorization
inferred← citeshttps://doi.org/10.1155/2017/3021591openalex-snapshot
Sparse Cholesky Factorization on FPGA Using Parameterized Model
inferred← citeshttps://doi.org/10.1587/transfun.e96.a.833openalex-snapshot
Parallel Sparse Cholesky Factorization on a Heterogeneous Platform
inferred← citeshttps://doi.org/10.48550/arxiv.1908.00204openalex-snapshot
GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
inferred← citeshttps://doi.org/10.5555/2688283.2688285openalex-snapshot
Accelerating sparse cholesky factorization on GPUs
inferred← citeshttps://doi.org/10.70675/9ea74bb0zcd35z4136zb61fz140e8e1ff3ecopenalex-snapshot
On the design of sparse hybrid linear solvers for modern parallel architectures
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.