A Reconfigurable Memory for Indexing Mass of Data
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Project Summary
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Reconfigurable Resources The index memory includes reconfigurable hardware resources to tailor at a hardware level the memory management to best support the specific properties of each indexing scheme. It also offers the opportunity to implement again, at a hardware level algorithms having interesting potential parallelism for processing data directly from the output of the index memory. As an example, image indexing requires massive distances calculation between image descriptors: this kind of calculation can be directly performed by the reconfigurable index memory. Characteristics of the index we manipulate are both their large volume and their relative stability. Indexing huge amount of data (several gigabytes) takes time and is not performed continuously. An index can be recomputed every day, every week or each time a new data release is available. Consequently, the storage device only need to support a raisonable number of write operations, while allowing illimited read accesses. The FLASH memory technology fit these requirements. In addition, the memory capacity is high (more than 1 Gbtes per chip) and the access time is low compared to magnetic disks. |
Dominique Lavenier
lavenier@irisa.fr
http://www.irisa.fr/remix
 
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