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GTC ON-DEMAND

Tools & Libraries
Presentation
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CUSPARSE Library: A Set of Basic Linear Algebra Subroutines for Sparse Matrices
Speakers:
Maxim Naumov
- NVIDIA
Abstract:
The CUSPARSE library can impact and enable software solutions for computational science and engineering problems in the fields of energy exploration, physical simulations and life sciences among many others. It provides sparse linear algebra primitives that can be used to implement iterative linear system and eigenvalue solvers and can also serve as a building block for the state-of-the-art sparse direct solvers. CUSPARSE library is implemented using CUDA parallel programming model and provides sparse analogs to BLAS level-1,2,3 operations, such as matrix-vector multiplication, triangular solve and format conversion routines.
 
Topics:
Tools & Libraries, Developer - Algorithms, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
S102070
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