It seems right now like Google’s Android operating system and Apple’s iOS platform will be the world’s most popular mobile operating systems forever. After all, every mobile OS that came before them, and everything else that has come along since these two platforms took off, has been crushed. Of course, those of us who have been around long enough remember that at one point in time, Nokia’s Symbian platform seemed like it would reign supreme forever. Platforms like Symbian, Windows Mobile, and BlackBerry OS used to dominate the global market, and now they don’t even exist anymore.
There’s no telling how long iOS and Android will be the only two mobile platforms that matter. There’s also no telling what might replace them. But Google is already planning for the future, and it’s in the process of developing a mysterious new operating system that may someday render Android obsolete.Don't Miss :
Precious little is known about Google’s Fuchsia OS for the time being. The platform is basically hiding in plain sight. It’s an open source platform that’s being developed right out in the open, and we’ve even seen it
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a few times. But Google has been almost completely silent about its new experimental operating system, refusing to reveal what its intentions are with Fuchsia.
As far as what we know at this point, there isn’t much to go on. We know that Fuchsia isn’t built on Linux kernel like Android and Chrome OS. Instead, it uses Google’s own Zircon kernel . What’s more, Fuchsia uses a newin-house programming language. Long story short, Fuchsia is all Google from top to bottom, despite being open source.
Beyond that, we know that Fuchsia won’t be confined solely to mobile devices. In fact, there’s already a developer build that can be installed on the Google Pixelbook. That said, it’s a very early experimental build that isn’t anywhere close to being feature complete. For that reason, no one who actually wants to use his or her Pixelbook for anything worthwhile is willing to bother with it. Luckily, you don’t need to mess with your Pixelbook anymore in order to play with Fuchsia. In fact, you don’t even need a Pixelbook. As noted
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, there’s now a website that lets you play with Fuchsia on any computer or phone.
Click this link to check it out. On a computer, there’s almost no usable functionality, and all you can do is click around a bit. On an Android phone, you’ll have a bit more luck. In fact, you’ll even see your phone’s actual remaining charge and network status. After you’ve tapped “Guest” to fire up Fuchsia, you can tap and scroll around all you want, though there isn’t much to see. The round icon at the center of the screen opens up the settings, but we’ll let you explore the res on your own.
The era of big data will lead to systems necessitating the transport of large amounts of information. Today's high-speed I/O signaling links are faced with difficult challenges: pins and interconnects available for off-chip signaling remain almost constant, while the throughput needed is increasing and the required aggregate bandwidths are moving into the Tb/s range (with target bit error rates as low as 10-21 for memory links).
High-speed chip-to-chip communication has historically been considered less critical than the on-chip signaling performance; however, due to today's huge demands for data throughput, off-chip interconnect bandwidth is increasingly becoming the system bottleneck, and creative solutions are needed to meet the requirements, now measured even in terabytes per second for graphic processing cores. Due to manufacturing and technology limitations, the physical dimension scaling of the passive package and interconnect systems is unable to keep up with the rapid miniaturization benefits enjoyed by active devices (such as silicon chips in CMOS technology nodes) which is dictated by Moore's law. Therefore, the resources (pins and interconnects) available for off-chip signaling remain almost constant, while the throughput needed is increasing. This trend is expected to persist in the future. At the same time, in order to keep up with the data throughput needed over limited resources, high edge rates are being used for signaling. This causes various signal integrity impairments, which in turn limit the system performance and force the data rates to be well below the Shannon limit of the channel capacity. Coupled with the limited channel resources are the conflicting requirements of low power and extremely reliable signaling . All of these limitations combined call for creative solutions in order to keep up with the performance demands of next-generation systems.
In our research group we investigate how these changes will affect the different aspects of high-speed link design. We develop modeling and simulation strategies as well as techniques for mitigating noise while reducing power.
The number of graduate students enrolled during the 2015-16 school year.
306 N. Wright St.Urbana, IL 61801-2918
E-mail ECE ILLINOIS
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Continuing with the example above, we can simplify the
HOC to a regular
component with a
prop that is a function. Then, inside
, we can use that prop to know what to render!
The main concept to understand here is that the
component essentially exposes its state to the
component by calling its
can render whatever it wants with that state. Pretty cool. 😎
I should clarify at this point that “children as a function” is
the exact same concept
, just using the
prop instead of
. When I say “render prop” I’m not talking specifically about a prop
, but rather the concept of having a prop that you use to render something. 😅
This technique avoids all of the problems we had with mixins and HOCs:
And there’s absolutely
required to use a render prop because you’re not
some other component. It’s just a function! Actually, if you’re using
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or , you’ll probably find it much easier to write a type definition for your component with a render prop than its equivalent HOC. Again, a topic for a separate post!
Additionally, the composition model here is dynamic ! Everything happens inside of render, so we get to take full advantage of the React lifecycle and the natural flow of props state.the composition model here is dynamic
Using this pattern, you can replace any HOC with a regular component with a render prop. And we can prove it, too! 😅
One of the most convincing pieces of evidence that render props are a more powerful pattern than HOCs is the fact that any HOC can be implemented using a render prop, but the inverse is not true. The following is an implementation of our
HOC using a regular ol’
Observant readers may have already noticed that the
HOC in the React Router codebase is actually implemented with… wait for it…
a render prop