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There is a wide range of cost/performance tradeoffs for implementing DSP algorithms into silicon, especially when targeting diverse technologies like FPGAs and ASICs. Finding the optimal implementation usually involves exploring parallel vs. serial architectures and will be highly dependent on the available resources, speed, and architecture of the technology. This session will explore how some of the commmonly used optimizations work and how they can be applied automatically to high-level algorithm models using Synplicity's Synplify DSP tool. The seminar will include examples in wireless communications and will benefit engineers who are interested in:
- Methods to rapidly describe algorithms and explore speed/area optimization tradeoffs
- Creating algorithms and IP that are easily
portable and optimized across vastly different FPGA technologies
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