Integrated Circuit Systems

<p>In comparison, Gartner Inc. projects that the IC market will fall by 16.3 percent in 2009. Broadpoint.AmTech sees a 20 percent drop next year, while Databeans Inc. projects a 6 percent decline.</p>

Note: The above text is the public part of the press release obtained from the manufacturer (with minor modifications). EETimes Europe cannot be held responsible for the claims and statements made by the manufacturer. The text is intended as a supplement to the new product presentations in EETimes Europe magazine.

Spreadtrum's third quarter revenue was $20 million, down 50 percent sequentially and 48 percent year-over-year. Third quarter baseband revenue declined 52 percent sequentially and 45 percent year-over-year to $19 million, Spreadtrum said.

Saying conditions in the Chinese mobile phone market remain challenging, Spreadtrum originally said it expected fourth quarter revenue to be approximately flat or slightly better than the third quarter.

RN55C4402BB14_Vishay Dale_Through Hole Resistors

At the recent International Electron Devices Meeting (IEDM) in San Francisco, most of the leading-edge logic papers dealt with the 32-nm node. IBM Corp. presented one of the few 22-nm papers.

In fact, leading-edge chip makers are currently in 22-nm R&D. So what are the big challenges involved at the 22-nm node?

A team of expert analysts from Semiconductor Insights, Xu Chang, Vu Ho, Ramesh Kuchibhatla, and Don Scansen, came up with a list of top challenges for the 22-nm node. Research firm Semiconductor Insights is part of United Business Media (UBM), which also owns EE Times.

RN55C4402BB14_Vishay Dale_Through Hole Resistors

Here's a list of 15 challenges (and more):

1. Cost and affordability

RN55C4402BB14_Vishay Dale_Through Hole Resistors

Cost of research and development, process technology, design-for-manufacturing (DFM) and other pieces of the IC-production puzzle continue to soar. Here's the big question: Do product volumes support the economic equation?

2. Scaling

With MapReduce, Google technicians were able to take the data, partition it across a large number of machines and run algorithms on each piece simultaneously. Intermediate results are then transferred over the interconnect to a reduction step, which combines the results. This is like a giant sort/merge type of application,” Katz explained.

Googlers have not released the code behind MapReduce, but they have published papers on it. That has enabled IBM, Yahoo and others to develop an open source version called Hadoop now widely used at other big Internet data centers. Today Hadoop powers a pioneering service at that has become the poster child of cloud computing, an approach many say could become the next big thing in computing.

Cloud computing essentially scales up the client/server PC style of computing to Internet proportions. It is being driven by the confluence of several trends, including mature x86 servers, multicore processors, virtualization software and widespread broadband connections.

The view, according to cloud computing proponents, is that more and more applications will run not as big blobs of CPU–and memory-hungry code on a client system–but as services in big data centers in the Internet cloud. The timing is good, given the rise of the Web savvy cellphones and TVs.

There are something like three billion handsets now becoming first-class citizens of the Internet,” said Katz. ” The phones are limited in what they can do locally, so you will have an ever-increasing demand for Internet data centers” and servers for the rising tide of mobile systems.


In 1958 Toyo Electronics Industry Corp. was founded as a compact resistor manufacturer carrying on the work of the venture firm established four years earlier. Then, in 1967, the company moved into the development and manufacture of semiconductor products that defines the Rohm of today.

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