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Parallel Sparse Matrix-Vector Multiplication as a Test Case for Hybrid MPI+OpenMP Programming

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-36569-9_18openalex-snapshot
Fast Sparse Matrix-Vector Multiplication for TeraFlop/s Computers
inferredcites →https://doi.org/10.1007/978-3-540-74686-7_19openalex-snapshot
Chebyshev Expansion Techniques
inferredcites →https://doi.org/10.1007/978-3-642-13872-0_2openalex-snapshot
Performance Limitations for Sparse Matrix-Vector Multiplications on Current Multi-Core Environments
inferredcites →https://doi.org/10.1007/s11227-008-0251-8openalex-snapshot
Performance evaluation of the sparse matrix-vector multiplication on modern architectures
inferredcites →https://doi.org/10.1016/j.parco.2008.12.006openalex-snapshot
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
inferredcites →https://doi.org/10.1016/j.parco.2010.02.003openalex-snapshot
Parallel symmetric sparse matrix–vector product on scalar multi-core CPUs
inferredcites →https://doi.org/10.1016/s0167-8191(01)00073-4openalex-snapshot
Towards a fast parallel sparse symmetric matrix–vector multiplication
inferredcites →https://doi.org/10.1103/physrevb.69.165115openalex-snapshot
Quantum lattice dynamical effects on single-particle excitations in one-dimensional Mott and Peierls insulators
inferredcites →https://doi.org/10.1103/revmodphys.78.275openalex-snapshot
The kernel polynomial method
inferredcites →https://doi.org/10.1109/mcse.2006.105openalex-snapshot
An introduction to algebraic multigrid
inferredcites →https://doi.org/10.1137/1.9781611971538openalex-snapshot
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods
inferredcites →https://doi.org/10.1145/1654059.1654078openalex-snapshot
Implementing sparse matrix-vector multiplication on throughput-oriented processors
inferredcites →https://doi.org/10.1145/800195.805928openalex-snapshot
Reducing the bandwidth of sparse symmetric matrices
inferredcites →https://doi.org/10.1177/1094342003017001005openalex-snapshot
Communication and Optimization Aspects of Parallel Programming Models on Hybrid Architectures
inferredcites →https://doi.org/10.1201/ebk1439811924openalex-snapshot
Introduction to High Performance Computing for Scientists and Engineers

What points at this work

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

inferred← citeshttps://doi.org/10.1109/asap.2013.6567573openalex-snapshot
Reduce, Reuse, Recycle (R3): A design methodology for Sparse Matrix Vector Multiplication on reconfigurable platforms
inferred← citeshttps://doi.org/10.1109/hpcsim.2012.6266940openalex-snapshot
Parallel multigrid for electrokinetic simulation in particle-fluid flows
inferred← citeshttps://doi.org/10.1109/hpec.2018.8547565openalex-snapshot
Performance Assessment of Hybrid Parallelism for Large-Scale Reservoir Simulation on Multi- and Many-core Architectures
inferred← citeshttps://doi.org/10.1109/icde.2016.7498293openalex-snapshot
Topology-aware optimization of big sparse matrices and matrix multiplications on main-memory systems
inferred← citeshttps://doi.org/10.1109/ipdps.2012.14openalex-snapshot
Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides
inferred← citeshttps://doi.org/10.1109/ipdps.2016.69openalex-snapshot
A Fast Selected Inversion Algorithm for Green's Function Calculation in Many-Body Quantum Monte Carlo Simulations
inferred← citeshttps://doi.org/10.1109/ipdpsw.2012.216openalex-snapshot
Scalable Hybrid Implementation of Graph Coloring Using MPI and OpenMP
inferred← citeshttps://doi.org/10.1137/130930352openalex-snapshot
A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units
inferred← citeshttps://doi.org/10.1137/140976017openalex-snapshot
Increasing the Performance of the Jacobi--Davidson Method by Blocking
inferred← citeshttps://doi.org/10.1145/3447818.3460372openalex-snapshot
Partitioning sparse deep neural networks for scalable training and inference
inferred← citeshttps://doi.org/10.1145/3784828.3786264openalex-snapshot
Performance and Programmability of MPI+X Integration with CUDA, HIP, SYCL, OpenACC, and OpenMP Offloading for Supercomputing: A Case Study on Dense Matrix–Vector Multiplication
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