Name
Abstract | ||
|---|---|---|
Embedded memory blocks have been integrated infield-programmable gate-arrays (FPGAs) for over a decade. Their count, as well as their capacity and the number of configurations, has increased over time. This growth poses unique challenges to binding the large number of embedded memory blocks to the data vectors that exist in the applications mapped onto FPGAs. In this paper we discuss how this challenge can be addressed algorithmically. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1837274.1837389 | DAC |
Keywords | Field | DocType |
data vector,unique challenge,memory block,large number,integrated infield-programmable gate-arrays,embedded memory block,fpga,application specific integrated circuits,field programmable gate arrays,hardware,finite element methods,memory management,algorithm design and analysis,memory,multiplexing,estimation,space technology,design automation,logic | Computer architecture,Computer science,Field-programmable gate array,Finite element method,Electronic engineering,Memory management,Multiplexing,Embedded system,Embedded memory | Conference |
ISSN | Citations | PageRank |
0738-100X | 1 | 0.47 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaveh Elizeh | 1 | 12 | 1.00 |
| Nicola Nicolici | 2 | 807 | 59.91 |