A new GPU-oriented batch SVD solver based on the one-sided Jacobi method delivers significant speedups over vendor libraries and prior open-source implementations across precisions and matrix shapes.
Scalable domain decomposition preconditioners for heterogeneous elliptic problems,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
Block-level domain decomposition with WaveHoltz subdomain solver on NVIDIA A100 GPUs delivers 2x-25x speedup over MINRES for the Helmholtz equation, plus further 2x-10x gains in single precision.
SPICE is a scalable Bayesian MCMC engine for explanatory IRT calibration on sparsely linked persons and items in large assessment banks.
citing papers explorer
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An Efficient Batch Solver for the Singular Value Decomposition on GPUs
A new GPU-oriented batch SVD solver based on the one-sided Jacobi method delivers significant speedups over vendor libraries and prior open-source implementations across precisions and matrix shapes.
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Efficient Domain Decomposition for the Helmholtz Equation on GPUs
Block-level domain decomposition with WaveHoltz subdomain solver on NVIDIA A100 GPUs delivers 2x-25x speedup over MINRES for the Helmholtz equation, plus further 2x-10x gains in single precision.
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A Scalable Parametric Item Calibration Engine (SPICE) for Explanatory IRT with Sparse Data
SPICE is a scalable Bayesian MCMC engine for explanatory IRT calibration on sparsely linked persons and items in large assessment banks.