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SRAM-based FPGA's: testing the LUT/RAM modules

Authors: Michel Renovell; Jean-Michel Portal; Joan Figueras; Yervant Zorian;

SRAM-based FPGA's: testing the LUT/RAM modules

Abstract

This paper addresses the problem of testing the LUT/RAM modules of configurable SRAM-based FPGAs using a minimum number of test configurations. A model of architecture for the LUT/RAM module with N inputs and 2/sup N/ memory cells is proposed taking into account the LUT and RAM modes. Concerning the RAM mode, we demonstrate that a unique test configuration is required for a single module. The problem is shown equivalent to the test of a classical SRAM circuit allowing to use existing algorithms such as the march tests. We also propose a unique test configuration called 'pseudo shift register' for mxm arrays of modules. In this configuration, the circuit operates as a shift register and an adapted version of the MATS++ algorithm called 'shifted MATS++' is described. Concerning the LUT mode, we use the concept of non-redundant test that proposes to test in LUT mode the parts of the module not tested in RAM mode. Under this hypothesis, it is demonstrated that the test of a single module as well as the test of an mxm array of modules require only 3 test configurations. Using our solution, the test of a complete array of mxm LUT/RAM modules requires 4 test configurations independently of the size of the array and of the modules.

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Average
Top 10%
Top 10%
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