Big Data. Big Decisions
InformationWeek
Special Coverage Series


Android Device Chip Race: MIPS Takes On ARM

MIPS Technologies' upcoming proAptiv processor squares off against ARM's Cortex A-15, signaling renewed compeition in chip designs for Android smartphones and tablets.

10 Tablets To Shake Up 2012
10 Tablets To Shake Up 2012
(click image for larger view and for slideshow)
MIPS Technologies has no intention of leaving the Android device market to semiconductor heavyweight ARM, the company made clear this week. MIPS outlined ambitions to wrestle smartphone and tablet business away from ARM, and perhaps enable its licensees to challenge Apple's mobile products and Apple's internally-designed processors. Sunnyvale-based MIPS, which had announced its proAptiv processor design in May, shared more details during an August 28 presentation at the Hot Chips conference in Silicon Valley. Given mobile industry design timeframes, it may be 2014 before we know if the company's campaign is successful.

MIPS grew out of a project initiated by current Stanford president John Hennessey when he was a professor at the university in 1981. The company has evolved into a chipmaker specializing in consumer electronic components, such as those found in TVs, Blu-ray players, and--most crucially for its fledgling rivalry with ARM--Android devices aimed primarily at emerging markets. With its newest chips, MIPS hopes to leap from role player to star status.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

[ Get the latest on Samsung's tablet and smartphone plans. See Samsung Galaxy Note 2, Windows 8 Smartphones: First Impressions. ]

The proAptiv design is an implementation of the MIPS32 architecture. Citing CoreMark CPU-centric benchmarks, MIPS claims its new product easily outclasses ARM Cortex-A9 cores and is in the same league as the Cortex-A15, ARM's newest architecture.

Neither ARM nor MIPS manufactures its own chips. Instead, both companies license their designs to other companies. Throndson claimed proAptiv fees will be lower than those charged by ARM, noting that the processor's smaller die size will allow more efficient power consumption while reducing silicon costs.

MIPS has already claimed symbolic victories over ARM, such beating its competitor in bringing 64-bit cores to market. Nonetheless, ARM controls much of the non-x86 marketplace thanks to a robust network of partners in the mobile market--something that MIPS currently lacks.

If the new design meets expectations, proAptiv offers a relatively clear path for MIPS to partner with system-on-a-chip designers such as NVIDIA and Qualcomm. Following the May announcement, there was even speculation that Microsoft could benefit from purchasing MIPS, as the acquisition would not only come at low cost (relative to, say, buying ARM) but also provide Apple-like control over internal components.

In media reports, Noel Hurley, ARM's VP of marketing and strategy, has dismissed the chatter as overhyped, and downplayed claims that proAptiv's reportedly smaller size engenders design advantages. ARM touts its chip's Trustzone technology (which facilitates secure payments and digital rights management), plus its virtualization and media processing capabilities.

This war of words is currently transitioning into marketplace skirmishes--but as previously noted, the outcome could be years away. New chip designs take around 18 months to appear in new products, so it will likely be late 2013 or early 2014 before on-paper comparisons become tangible advantages or missteps. In the meantime, industry watchers will keep an eye on the partners MIPS' proAptiv accrues, and whether any of them come at ARM's expense.

See the future of business technology at Interop New York, Oct. 1-5. It's the best place to learn about next-generation technologies including cloud computing, BYOD, big data, and virtualization. Register by Sept. 29 with priority code YLBQNY02 and save up to $150 on passes.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.