GigaDevice

We've made our scaling in such a way that [the final image] can be pretty decent quality,” Brouwer said.

Freddy Mangum, vice president of product marketing at Fortinet, agrees. We want to say, 'Here is a platform and you can enable whatever modules you need',” he says, adding that to remain competitive, vendors must offer a broad product portfolio and all of the functionality required by customers.

This approach can also help the industry deliver mobile devices with greatly increased capabilities without reducing battery life, or devices with dramatically extended battery life that have capabilities similar to current systems. We may see ultra mobile” PCs that could ultimately achieve 10 times lower power consumption than today's laptops. For the industry, this could provide greater flexibility in designing to different form factors, reduced power costs, more performance per watt, and more capabilities for any given footprint.

In order to perform concurrent analysis, an analysis infrastructure needs to be able to represent multiple variation scenarios in memory concurrently. A simple brute-force approach would be to keep 64 different timing graphs in memory at the same time corresponding to the 64 variation scenarios described above. This is clearly infeasible and impractical because of the large memory usage and very long runtimes that it would entail. Clearly, the issue of scalability needs to be addressed when concurrent analysis is proposed as a solution. A new analysis data-model would have to be able to take advantage of data duplication across the different variation scenarios and store the concurrent” timing graph over all 64 scenarios in a very compact fashion. With this challenge addressed, designers will always have access to all violations over all variation scenarios at each stage of implementation. This can completely eliminate the unpredictable and costly iterations that would happen at the very end of design projects in current-generation flows.

tunneling diode

Freddy Mangum, vice president of product marketing at Fortinet, agrees. We want to say, 'Here is a platform and you can enable whatever modules you need',” he says, adding that to remain competitive, vendors must offer a broad product portfolio and all of the functionality required by customers.

This approach can also help the industry deliver mobile devices with greatly increased capabilities without reducing battery life, or devices with dramatically extended battery life that have capabilities similar to current systems. We may see ultra mobile” PCs that could ultimately achieve 10 times lower power consumption than today's laptops. For the industry, this could provide greater flexibility in designing to different form factors, reduced power costs, more performance per watt, and more capabilities for any given footprint.

In order to perform concurrent analysis, an analysis infrastructure needs to be able to represent multiple variation scenarios in memory concurrently. A simple brute-force approach would be to keep 64 different timing graphs in memory at the same time corresponding to the 64 variation scenarios described above. This is clearly infeasible and impractical because of the large memory usage and very long runtimes that it would entail. Clearly, the issue of scalability needs to be addressed when concurrent analysis is proposed as a solution. A new analysis data-model would have to be able to take advantage of data duplication across the different variation scenarios and store the concurrent” timing graph over all 64 scenarios in a very compact fashion. With this challenge addressed, designers will always have access to all violations over all variation scenarios at each stage of implementation. This can completely eliminate the unpredictable and costly iterations that would happen at the very end of design projects in current-generation flows.

Coming in the next installment:

What if service providers could connect all sites in a region with an IP WAN-like mesh, in which any site could communicate directly with any other site without having to pass signals through (and consume fiber at) every node on the ring? This is exactly the capability that new mesh ROADM tools provide.

8N3QV01LG-0041CDI8_Datasheet PDF

This approach can also help the industry deliver mobile devices with greatly increased capabilities without reducing battery life, or devices with dramatically extended battery life that have capabilities similar to current systems. We may see ultra mobile” PCs that could ultimately achieve 10 times lower power consumption than today's laptops. For the industry, this could provide greater flexibility in designing to different form factors, reduced power costs, more performance per watt, and more capabilities for any given footprint.

In order to perform concurrent analysis, an analysis infrastructure needs to be able to represent multiple variation scenarios in memory concurrently. A simple brute-force approach would be to keep 64 different timing graphs in memory at the same time corresponding to the 64 variation scenarios described above. This is clearly infeasible and impractical because of the large memory usage and very long runtimes that it would entail. Clearly, the issue of scalability needs to be addressed when concurrent analysis is proposed as a solution. A new analysis data-model would have to be able to take advantage of data duplication across the different variation scenarios and store the concurrent” timing graph over all 64 scenarios in a very compact fashion. With this challenge addressed, designers will always have access to all violations over all variation scenarios at each stage of implementation. This can completely eliminate the unpredictable and costly iterations that would happen at the very end of design projects in current-generation flows.

Coming in the next installment:

In order to perform concurrent analysis, an analysis infrastructure needs to be able to represent multiple variation scenarios in memory concurrently. A simple brute-force approach would be to keep 64 different timing graphs in memory at the same time corresponding to the 64 variation scenarios described above. This is clearly infeasible and impractical because of the large memory usage and very long runtimes that it would entail. Clearly, the issue of scalability needs to be addressed when concurrent analysis is proposed as a solution. A new analysis data-model would have to be able to take advantage of data duplication across the different variation scenarios and store the concurrent” timing graph over all 64 scenarios in a very compact fashion. With this challenge addressed, designers will always have access to all violations over all variation scenarios at each stage of implementation. This can completely eliminate the unpredictable and costly iterations that would happen at the very end of design projects in current-generation flows.

Coming in the next installment:

tuning condenser

Coming in the next installment:

Coming in the next installment:

What if service providers could connect all sites in a region with an IP WAN-like mesh, in which any site could communicate directly with any other site without having to pass signals through (and consume fiber at) every node on the ring? This is exactly the capability that new mesh ROADM tools provide.

The reduction of the panel's clock frequency and other related signals (which is esp. significant in case of higher resolution panels like the ones with 1080p resolution) furthermore reduces the power consumption of the whole drive circuit to approx. 1/10 of conventional driving schemes (in case of 1080p panels).

In the speed” column we see the difference between optimizing for speed or space. Only the files highlighted in yellow show a significant performance effect. This tells us most of our application could be compiled neutrally or to save space. Similarly, the right-hand columns show how code size varies under the same conditions. Only the files highlighted in blue show a significant effect.