Different proposals to matrix multiplication based on FPGAs
被引:8
作者:
Bravo, Ignacio
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机构:
Univ Alcala de Henares, Dept Elect, Madrid 28871, SpainUniv Alcala de Henares, Dept Elect, Madrid 28871, Spain
Bravo, Ignacio
[1
]
Jimenez, Pedro
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Univ Alcala de Henares, Dept Elect, Madrid 28871, SpainUniv Alcala de Henares, Dept Elect, Madrid 28871, Spain
Jimenez, Pedro
[1
]
Mazo, Manuel
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Univ Alcala de Henares, Dept Elect, Madrid 28871, SpainUniv Alcala de Henares, Dept Elect, Madrid 28871, Spain
Mazo, Manuel
[1
]
Lazaro, Jose Luis
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Univ Alcala de Henares, Dept Elect, Madrid 28871, SpainUniv Alcala de Henares, Dept Elect, Madrid 28871, Spain
Lazaro, Jose Luis
[1
]
Heras, Jose J. de las
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Univ Alcala de Henares, Dept Elect, Madrid 28871, SpainUniv Alcala de Henares, Dept Elect, Madrid 28871, Spain
Heras, Jose J. de las
[1
]
Gardel, Alfredo
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Univ Alcala de Henares, Dept Elect, Madrid 28871, SpainUniv Alcala de Henares, Dept Elect, Madrid 28871, Spain
Gardel, Alfredo
[1
]
机构:
[1] Univ Alcala de Henares, Dept Elect, Madrid 28871, Spain
来源:
2007 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, PROCEEDINGS, VOLS 1-8
|
2007年
关键词:
D O I:
10.1109/ISIE.2007.4374862
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Matrix multiplication is a typical operation in different engineering areas, such as signal or image processing. This paper makes a brief description about some matrix multiplication proposals when working in FPGAs (Field Programmable Gate Array). Thanks to their low prices and low costs, currently these devices are used in many and different applications. There are some alternative methods that optimize execution time to carry out this operation under FPGAs. The internal structure of these devices allows parallel execution of matrix multiplication. However, a systolic structure needs many internal resources such as embedded multipliers and often it cannot be used because of the low number of embedded multipliers in the used device. This structure is commonly used in FPGAs for small size matrices. However our proposed alternatives allow an efficient multiplication of matrices of sizes as big as 512 x 512 elements. The study done in this work compares the delay and area consumed of different matrix multiplication algorithms.