Name
Abstract | ||
|---|---|---|
We propose a novel design estimation method for adaptive streaming applications to be implemented on a partially reconfigurable FPGA. Based on experimental results we enable accurate design cost estimates at an early design stage. Given the size and computation time of a set of configurations, which can be derived through logic synthesis, our method gives estimates for configuration parameters, such as bitstream sizes, computation and reconfiguration times. To fulfil the system's throughput requirements, the required FIFO buffer sizes are then calculated using a hybrid analysis approach based on integer linear programming and simulation. Finally, we are able to calculate the total design cost as the sum of the costs for the FPGA area, the required configuration memory and the FIFO buffers. We demonstrate our method by analysing non-obvious trade-offs for a static and dynamic implementation of adaptivity. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IPDPS.2009.5161208 | IPDPS |
Keywords | Field | DocType |
configuration parameter,fifo buffer,high-level estimation,fpga area,total design cost,early design stage,computation time,novel design estimation method,reconfigurable fpga,required fifo buffer size,accurate design cost estimate,adaptive real-time system,trade-off analysis,computational modeling,computer architecture,cost estimation,real time systems,adaptive systems,design methodology,integer linear programming,field programmable gate arrays,linear programming,integer programming,computer science,throughput,logic programming,parameter estimation,estimation,logic synthesis,fpga | Logic synthesis,FIFO (computing and electronics),Computer science,Parallel computing,Field-programmable gate array,Real-time computing,Integer programming,Linear programming,Bitstream,Control reconfiguration,Computation | Conference |
ISSN | Citations | PageRank |
1530-2075 | 2 | 0.41 |
References | Authors | |
6 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ingo Sander | 1 | 230 | 29.54 |
| Jun Zhu | 2 | 48 | 3.76 |
| Axel Jantsch | 3 | 1875 | 169.83 |
| Andreas Herrholz | 4 | 27 | 2.64 |
| Philipp A. Hartmann | 5 | 83 | 10.26 |
| Wolfgang Nebel | 6 | 484 | 76.22 |