GreenDroid chip uses dark silicon to improve smartphone battery life

Posted In: R&D Daily | Consumer Electronics | Semiconductor | Communications | Computer Technology | Consumer Electronics | Electrical Engineering | Electronics | Networking | Wireless | University of California, San Diego | Semiconductors | Microprocessors

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This is one example of a conservation core developed by UC San Diego computer scientists. The small boxes in the image are the pattern of logic gates that are spatially placed over a small portion of the GreenDroid chip. Credit: UC San Diego Computer Science (CSE)

A new smartphone chip prototype under development at the University of California, San Diego will improve smartphone efficiency by making use of "dark silicon" – the underused transistors in modern microprocessors. On August 23, UC San Diego computer scientists presented GreenDroid, the new smartphone chip prototype at the HotChips symposium in Palo Alto, CA.

Dark silicon refers to the huge swaths of silicon transistors on today's chips that are underused because there is not enough power to utilize all the transistors at the same time. The new GreenDroid chip prototype from computer scientists at UC San Diego will deliver improved performance through specialized processors fashioned from dark silicon. These processors are designed to run heavily used chunks of code, called "hot code," in Google's Android smartphone platform.
   
Computer science professors Michael Taylor and Steven Swanson from the Department of Computer Science and Engineering (CSE) at the UC San Diego Jacobs School of Engineering are leading the project.
   
"This is an exciting time for UCSD. Our students are designing a real multicore processing chip, in an advanced technology, that is simultaneously advancing the state-of-the art in both smartphone and processor design. This marks the first of what I hope is many such chips that will come out of the UCSD research community," said Taylor.
   
The GreenDroid presentation at HotChips caught the attention of IEEE Spectrum, EETimes and LightReading, which all ran stories.
   
While chip makers can now make similar types of specialized processors by hand, the UC San Diego computer scientists developed a fully automated system. It generates blueprints for specialized processors, called conservation cores, from source code extracted from applications.

Conservation cores also incorporate focused reconfigurability that allows them to adapt to small changes in the target application while still delivering efficiency gains.
   
Dark Silicon
   
This work is motivated by the growing problem of dark silicon, which refers to transistors on microprocessors that are forced to remain off most of the time because of power constraints.
   
"We don't have enough power to use all the transistors at once – that is the 'utilization wall,'" said UC San Diego computer science graduate student Nathan Goulding who presented the team's GreenDroid chip at HotChips. Goulding led GreenDroid development, which is one part of the larger conservation core project.
   
"The utilization wall will change the way everyone builds processors," the computer scientists reported in their HotChips talk.
   
If this utilization wall problem is not solved, more transistors on computer chips will not necessarily lead to improved performance or problem solving capacity in each new chip generation.
   
Automated Hardware Maker

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This is an overview of the GreenDroid project from computer scientists at UC San Diego. Credit: UC San Diego Computer Science (CSE)

As a real-world prototype, the computer scientists from the UC San Diego Jacobs School of Engineering used dark silicon to build specialized circuits for specific tasks frequently performed by popular smartphone applications such as Web browsers, email software and music players. The computer scientists asked 'where does most of the computation happen?'
   
They took answers to this question, and fed the relevant code into their automated tool chain.
   
"A chip that does MP3 decoding…people can build specialized logic for this by hand, but it's an enormous amount of effort and this doesn't scale well. Our approach is automated," said Goulding.
   
The computer scientists input pieces of code shared by multiple software applications for Android phones. The output at the end of the automated chain is a blueprint for specialized hardware. This specialized hardware will only execute some regions of the software code. The rest of the code, known as "cold code", is executed by the phone's general processor.
   
The computer scientists chose a smartphone for their chip prototype because mobile handsets are the new dominant computing platform. "Smartphones are going to be everywhere," said Goulding, "We said to ourselves, 'let's make a prototype chip that saves energy on Android phones.'"
   
The HotChips slides and the full list of authors: GreenDroid: A Mobile Application Processor for Silicon's Dark Future
   
PDF: http://cseweb.ucsd.edu/users/swanson/papers/HotChips2010GreenDroid.pdf.com
   
Authors: Nathan Goulding, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Jonathan Babb*, Michael Taylor, and Steven Swanson, Proceedings of HotChips, 2010. *Jonathan Babb is at CSAIL, Massachusetts Institute of Technology
   
Related work from the team: Conservation Cores: Reducing the Energy of Mature Computations, Ganesh Venkatesh, Jack Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson, and Michael Bedford Taylor, ASPLOS '10: Proceeding of the 15th international conference on Architectural support for programming languages and operating systems, 2010.

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