Source code and data for "Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations" submitted to IPDPS 2022
International audienceThis paper illustrates how GPU computing can be used to accelerate computation...
This archive includes source codes and benchmarks for paper: "G-Sparse: Compiler-Driven Acceleration...
This is the source code for the software introduced in the paper: Efficient Tsunami Modeling on Adap...
This is a development snapshot of the batched sparse iterative solver capability in the Ginkgo numer...
This artifact archives the repository used for our paper on implementing batched iterative solvers f...
Ginkgo is a production-ready sparse linear algebra library for high performance computing on GPU-cen...
The research team will lead the development of PlasmaPy and affiliated packages to foster the creati...
Source-code for sparse matrix-dense matrix multiplication and sampled dense-dense matrix multiplicat...
PIConGPU is an open source, multi-platform particle-in-cell code scaling to the fastest supercompute...
This data set contains the PIConGPU source code used for the simulations presented in "Gas-foil targ...
Code associated with Project 3: Colocalization pipeline from the 2021 GP2/IPDGC Hackathon and manusc...
This is the archive containing the software used for evaluations in the publication "Performance-Por...
Our final report on the accomplishments of ITAPS at Stony Brook during period covered by the researc...
Abstract. Numerical solutions of nonlinear partial differential equations frequently rely on iterati...
SPIKE::GPU is a solver developed in the Simulation Based Engineering Lab (SBEL) [1] to solve large b...
International audienceThis paper illustrates how GPU computing can be used to accelerate computation...
This archive includes source codes and benchmarks for paper: "G-Sparse: Compiler-Driven Acceleration...
This is the source code for the software introduced in the paper: Efficient Tsunami Modeling on Adap...
This is a development snapshot of the batched sparse iterative solver capability in the Ginkgo numer...
This artifact archives the repository used for our paper on implementing batched iterative solvers f...
Ginkgo is a production-ready sparse linear algebra library for high performance computing on GPU-cen...
The research team will lead the development of PlasmaPy and affiliated packages to foster the creati...
Source-code for sparse matrix-dense matrix multiplication and sampled dense-dense matrix multiplicat...
PIConGPU is an open source, multi-platform particle-in-cell code scaling to the fastest supercompute...
This data set contains the PIConGPU source code used for the simulations presented in "Gas-foil targ...
Code associated with Project 3: Colocalization pipeline from the 2021 GP2/IPDGC Hackathon and manusc...
This is the archive containing the software used for evaluations in the publication "Performance-Por...
Our final report on the accomplishments of ITAPS at Stony Brook during period covered by the researc...
Abstract. Numerical solutions of nonlinear partial differential equations frequently rely on iterati...
SPIKE::GPU is a solver developed in the Simulation Based Engineering Lab (SBEL) [1] to solve large b...
International audienceThis paper illustrates how GPU computing can be used to accelerate computation...
This archive includes source codes and benchmarks for paper: "G-Sparse: Compiler-Driven Acceleration...
This is the source code for the software introduced in the paper: Efficient Tsunami Modeling on Adap...
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