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techfocus media publication :: January 6, 2004 :: volume II, no. 1 |
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Rose
is a Rose - Platform FPGA vs. Structured ASIC
Your next design project requires some sort of custom IC. The device will aggregate several functions from your previous-generation product and needs to meet some modest power and performance improvement goals. Your company is going to produce probably a hundred thousand units of this design, maybe more if it is successful. The complexity and speed of the device would require a fairly expensive FPGA, pushing the unit cost to a point that would erode and possibly eliminate your profit margins. On the other hand, the cycle time, NRE, and risk of doing a cell-based ASIC are a stretch for your team and could be a showstopper for the project. You may be a customer for the new breed of semi-custom logic known as structured ASIC. While FPGA costs have been dropping, the high-end devices have remained expensive, power-hungry, and somewhat performance- and density-limited compared with ASIC devices. New super-low-cost generations of FPGAs, while far more affordable than their high-end cousins, are deliberately limited in their capabilities in order to preserve the margin of the flagship devices. Applications that require the performance of high-end devices with volumes and price structures that demand the prices of the low-cost devices fall into a gap not well served by the current programmable-logic industry. At the same time, cell-based ASIC technology is skyrocketing away from this group as well, with increasing NRE, longer schedules, and higher risk factors. These factors have combined to create a niche for a new kind of semi-custom mask-programmable device known as structured ASIC. Structured ASIC devices probably most closely resemble gate arrays as they are pre-manufactured and mask-customized by the addition of only a few metal layers. Where they differ from gate arrays is in the pre-fabricated cells. In addition to random logic fabric, structured ASIC devices come with a number of available larger-scale IP blocks pre-designed on the device. For the design team, this means less design, testing, and integration time, and lower NRE and mask costs. If the available IP is a good fit for your application (and here is the current Achilles’ heel), performance and power consumption can be comparable to a full-boat ASIC implementation. Compared with FPGA, a structured ASIC implementation offers potentially lower unit cost, higher performance, lower power consumption, and a smaller footprint. [more] Domain-Specific
Platform FPGAs ASIC
NRE costs and design times are skyrocketing. At 130nm, NRE can be $10M
or more and the time needed to design an ASIC chip typically ranges
from 12-18 months. In addition, application adaptability is often being
included in the chip’s specifications. The need for adaptability
is driven by several factors, including: |
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