Apple's new iPad 3 features a modified version of the company's standard A5 processor, A5X, which has a larger floor plan to include quad-core graphics, according to an analysis performed by UBM TechInsights, one of our sister organizations.
The A5X measures roughly 163 square millimeters, compared to about 120 square millimeters for the A5. Both use identical ARM processor cores, but the A5X adds four PowerVR SGX543MP4 graphics cores, which are paired in groups of two and then symmetrically opposed to each other on the floor plan. Both chips feature two application processor cores and operate at 1GHz, but the A5X includes more DDR interfaces and more architecture added for the handling of quad-core GPU, according to the teardown analysis.
Click on the image below to view a slideshow of the iPad 3 in various stages of disassembly:
Seeing the apparent ease with which UBM TechInsights tears it down, it's a wonder to me that Apple is so resistant in their interviews. It's difficult to get through an Apple interview without bumping into a "proprietary concern." Yet, it appears from this teardown that reverse engineering of the hardware must be commonplace.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.