Freescale Semiconductor Inc.
unveiled a pair of new communications processor platforms this week, and said
that it is already partnering with suppliers to provide embedded software for
the new products.
The two new
platforms, part of the company's QorIQ
processor lines, include 64-bit and quad-core products. Markets for the new
platforms include high-end control and data plane applications in aerospace and
defense, robotics, routers, switches, networking, enterprise storage and data
customers find it difficult to move to 64-bit because it's an investment for
them," said Katie Butler, a product marketing engineer in Freescale's
Networking Systems Div. "Having an ecosystem of third-party software simplifies
new processors, introduced at the Freescale Technology Forum (FTF) held in
Orlando this week, will include the single-core 64-bit P5010, the dual-core
64-bit P5020 and the quad-core P3041. The QorIQ 64-bit platform features the
company's e5500 core, which is said to deliver twice the performance of
Freescale's earlier e500 core, reaching frequencies up to 2.5 GHz.
vendors at FTF this week said they would supply development tools and operating
systems for the P5010, P5020 and P3041 platforms.
providing the foundation elements that allow them to develop and execute the
code," said Dan Mender, vice president of business development for Green Hills
Software Inc., which offers tools for code cogeneration, execution and debug
for the QorIQ family. "This delivers a part of what's required to take people
to 64 bits, or from single-core to multi-core."
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.