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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20111115T213000Z
DTEND:20111115T220000Z
LOCATION:WSCC 613/614
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: CULA is a GPU-accelerated linear algebra library that utilizes the NVIDIA CUDA parallel computing architecture to dramatically improve the computation speed of sophisticated mathematics. The LAPACK functionality provided by CULA is critical to many applications ranging from computer-aided engineering and medical imaging reconstruction to climate change models, financial analysis and more. CULA offers performance up to an order of magnitude faster than optimized CPU-based linear algebra solvers and because it does not require CUDA programming experience, users can very easily start using it. Approaching 10,000 users, CULA is adding tremendous value to a wide range of applications and this presentation will talk about some of the most exciting ones. In this talk, we will describe the library with emphasis on the new features: sparse linear algebra solvers and the zero-effort Link Interface for instant acceleration.
SUMMARY:Advances in the CULA Linear Algebra Library
PRIORITY:3
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