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GTC ON-DEMAND

Algorithms & Numerical Techniques
Presentation
Media
Fast Low-Rank Numerical Solvers on DGX-1
Abstract:

Come and learn about new fast low-rank matrix computations on GPUs! By exploiting the low-rank off-diagonal block structure, we design and implement fast linear algebra operations on massively parallel hardware architectures. The main idea is to refactor the numerical algorithms and the corresponding implementations by aggregating similar numerical operations in terms of highly optimized batched kernels. Applications in weather prediction, seismic imaging and material science are employed to assess the trade-off between numerical accuracy and parallel performance of these fast matrix computations compared to more traditional approaches..

 
Topics:
Algorithms & Numerical Techniques, Tools & Libraries, HPC and AI
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23367
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