Pratik Nayak

Employment

• Technische Universität München Research Scientist
  2024 - Present

Education

• Karlsruhe Institute of Technology PhD
  ? - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Accelerating Electrostatics Simulations with GPUs
  2026 DOI: 10.1007/978-3-032-07612-0_38
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• Efficient solution of batched band linear systems on GPUs
  The International Journal of High Performance Computing Applications 2025 DOI: 10.1177/10943420251347460
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• Accelerating Fusion Plasma Collision Operator Solves with Portable Batched Iterative Solvers on GPUs
  2025 DOI: 10.1007/978-3-031-73716-9_9
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• Ginkgo - A math library designed to accelerate Exascale Computing Project science applications
  The International Journal of High Performance Computing Applications 2024 DOI: 10.1177/10943420241268323
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• Reproducibility artifact for paper: Efficient batched band solvers on GPUs
  Zenodo 2024 DOI: 10.5281/zenodo.10871244
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• Reproducibility artifact for paper: Efficient batched band solvers on GPUs
  Zenodo 2024 DOI: 10.5281/zenodo.10871255
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• Synchronization-free algorithms for exascale and beyond : A study of Asynchronous and Batched Iterative Methods
  2023 DOI: 10.5445/IR/1000165437
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• Porting Batched Iterative Solvers onto Intel GPUs with SYCL
  2023 DOI: 10.1145/3624062.3624181
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• Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs
  Journal of Parallel and Distributed Computing 2023 DOI: 10.1016/j.jpdc.2023.03.012
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• Utilizing batched solver ideas for efficient solution of non-batched linear systems
  2023 DOI: 10.1109/IPDPSW59300.2023.00113
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