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A Sparse Direct Solver for Distributed Memory Xeon Phi-Accelerated Systems

https://doi.org/10.1109/ipdps.2015.104
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-09873-9_41openalex-snapshot
A Distributed CPU-GPU Sparse Direct Solver
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/10.1007/978-3-642-23397-5_10openalex-snapshot
Communication-Optimal Parallel 2.5D Matrix Multiplication and LU Factorization Algorithms
inferredcites →https://doi.org/10.1016/j.parco.2011.09.002openalex-snapshot
A CPU–GPU hybrid approach for the unsymmetric multifrontal method
inferredcites →https://doi.org/10.1093/acprof:oso/9780198508380.001.0001openalex-snapshot
Direct Methods for Sparse Matrices
inferredcites →https://doi.org/10.1109/ipdps.2011.44openalex-snapshot
Multifrontal Factorization of Sparse SPD Matrices on GPUs
inferredcites →https://doi.org/10.1109/ipdps.2013.113openalex-snapshot
Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor
inferredcites →https://doi.org/10.1109/ipdpsw.2013.26openalex-snapshot
Scheduling a Parallel Sparse Direct Solver to Multiple GPUs
inferredcites →https://doi.org/10.1109/ipdpsw.2014.9openalex-snapshot
Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes
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.2014.82openalex-snapshot
Efficient Shared-Memory Implementation of High-Performance Conjugate Gradient Benchmark and its Application to Unstructured Matrices
inferredcites →https://doi.org/10.1145/1198555.1198781openalex-snapshot
Sparse matrix solvers on the GPU
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2464996.2465013openalex-snapshot
Efficient sparse matrix-vector multiplication on x86-based many-core processors
inferredcites →https://doi.org/10.1145/2503210.2503242openalex-snapshot
Tera-scale 1D FFT with low-communication algorithm and Intel® Xeon Phi™ coprocessors
inferredcites →https://doi.org/10.1145/356044.356047openalex-snapshot
The Multifrontal Solution of Indefinite Sparse Symmetric Linear
inferredcites →https://doi.org/10.1145/779359.779361openalex-snapshot
SuperLU_DIST
inferredcites →https://doi.org/10.1145/882262.882364openalex-snapshot
Sparse matrix solvers on the GPU
inferredcites →https://doi.org/10.2307/2008670openalex-snapshot
Direct Methods for Sparse Matrices.

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-69583-4_13openalex-snapshot
Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
inferred← citeshttps://doi.org/10.1007/s11227-021-04270-wopenalex-snapshot
swSuperLU: A highly scalable sparse direct solver on Sunway manycore architecture
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/10.1017/s0962492916000076openalex-snapshot
A survey of direct methods for sparse linear systems
inferred← citeshttps://doi.org/10.1109/ipdps.2016.83openalex-snapshot
A Fast Tridiagonal Solver for Intel MIC Architecture
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00100openalex-snapshot
A Communication-Avoiding 3D LU Factorization Algorithm for Sparse Matrices
inferred← citeshttps://doi.org/10.1109/jiot.2019.2947257openalex-snapshot
ahSpMV: An Autotuning Hybrid Computing Scheme for SpMV on the Sunway Architecture
inferred← citeshttps://doi.org/10.1109/jproc.2018.2841200openalex-snapshot
Autotuning in High-Performance Computing Applications
inferred← citeshttps://doi.org/10.1109/pesgm.2018.8586399openalex-snapshot
GPU-Based Real-time N-1 AC Power Flow Algorithm With Preconditioned Iterative Method
inferred← citeshttps://doi.org/10.1145/3132402.3132435openalex-snapshot
Evaluating hybrid memory cube infrastructure to support high-performance sparse algorithms
inferred← citeshttps://doi.org/10.1145/3431379.3460651openalex-snapshot
Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters
inferred← citeshttps://doi.org/10.1145/3577197openalex-snapshot
Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver
inferred← citeshttps://doi.org/10.1145/3581784.3607050openalex-snapshot
PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems
inferred← citeshttps://doi.org/10.11650/tjm/181113openalex-snapshot
Compressed Hierarchical Schur Algorithm for Frequency-domain Analysis of Photonic Structures
inferred← citeshttps://doi.org/10.1177/10943420251400893openalex-snapshot
Efficient large-scale sparse LU factorization for fast radio frequency circuit simulation
inferred← citeshttps://doi.org/10.70675/9ea74bb0zcd35z4136zb61fz140e8e1ff3ecopenalex-snapshot
On the design of sparse hybrid linear solvers for modern parallel architectures
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