Fast development of dense linear algebra codes on graphics processors

We present an application programming interface (API) for the C programming language that facilitates the development of dense linear algebra algorithms on graphics processors applying the FLAME methodology. The interface, built on top of the NVIDIA CUBLAS library, implements all the computational f...

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Bibliographic Details
Main Authors: Zafont, M.J., Martin, A., Igual, F., Quintana-Orti, E.S.
Format: Conference Proceeding
Language:English
Subjects:
Central Processing Unit
Computer interfaces
Computer languages
Fires
FLAME
Graphics
Graphics processors
high performance
high-level APIs
Libraries
Linear algebra
Linear programming
Matrix decomposition
Symmetric matrices
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Description
Summary:We present an application programming interface (API) for the C programming language that facilitates the development of dense linear algebra algorithms on graphics processors applying the FLAME methodology. The interface, built on top of the NVIDIA CUBLAS library, implements all the computational functionality of the FLAME/C interface. In addition, the API includes data transference routines to explicitly handle communication between the CPU and GPU memory spaces. The flexibility and simplicity-of-use of this tool are illustrated using a complex operation of dense linear algebra: the Cholesky factorization. For this operation, we implement and evaluate all existing variants on an NVIDIA G80 processor, attaining speedups 7times compared with the CPU implementations.
ISSN:1530-2075
DOI:10.1109/IPDPS.2009.5160940