The first 20 years of microprocessor development were all about running as fast as possible. The last 10 years have been about doing nothing as efficiently as possible!
That sounds funny at first until you realise that there is more power to be saved when the machine is idle than when it is running. Think about it: when the Apollo 13 mission crew ran into trouble, the key to getting the astronauts home alive was turning off all non-essential systems to save energy. And then only turning on systems precisely for the time they were needed. In modern microprocessors and SOCs, that happens automatically – we don’t wait for the emergency call from Mission Control. The mantra in modern silicon is run fast then shut down. And do it intelligently with the ability to enable and manage power to a functional block at a time. It is either mission critical, and running optimized, or it’s off saving power.
Information Technology is a part of daily life
As we obsessively check our handheld devices, few of us think of the amazing IT infrastructure that it takes to put all of that information into the palm of our hand. And even fewer think of all the power it takes to run this infrastructure. The closest many of us come to considering IT energy efficiency is hoping that the battery in our device will make it to the end of the day.
From streaming video or music, to sharing photos, to social media, to tracking our workouts and reviewing restaurants – we are more connected than ever before. And there is no end in sight. Smartphones took the world by storm starting with the introduction of the iPhone in 2007. As developers made applications for anything we could think of, our smartphones became an indispensable part of our lives. For example, as reported in 2012, an astonishing 90% of 18 to 29 year olds sleep with their smartphones! Very quickly, computing devices are becoming part of the fabric of everyday life.
Next on the horizon are the wearable technologies – such as Google Glass, smart watches and an assortment of fitness or health monitoring devices – which are all vying for a foothold in the market. And all of this is happening at the dawning of the super-connected “Internet of Things,” with a multitude of devices or appliances being internet connected, and “Surround Computing” where we will be immersed in computational power that will anticipate our needs and seamlessly deliver the information relevant to our environment. Surround Computing is really a superset of the Internet of Things, because it also describes how we will interact naturally with the technology and how the technology will enable us in ways that are still unfolding. But, as technology enables us in these new and exciting ways, important questions are being raised about the energy needed to power this growing infrastructure.
The energy used to power IT is large and growing
According to the MIT Energy Initiative, “worldwide, 3 billion personal computers use more than 1% of all energy consumed, and 30 million computer servers use an added 1.5% of all electricity at an annual cost of $14-18 billion. Expanded use of the Internet, smart phones, and the network to connect everything is causing all of those numbers to escalate.” Similarly, the U.S. Department of Energy estimates that for “the US, IT and telecommunications facilities annually consume roughly 120 billion kilowatt hours of electricity—or 3% of all U.S. electricity use.”
Energy efficiency and IT
The good news is that, as discussed by Dr. Jonathan Koomey in MIT Technology Review, “as the performance of computers has shown remarkable and steady growth, doubling every year-and-a-half since the 1970s, the electrical efficiency of computing (the number of computations that can be completed per kilowatt-hour of electricity used) has also doubled every year-and-a-half since the dawn of the computer age.” I believe passively cooled laptops, mobile phones and tablets are part of this trend, which has led to rapid reductions in the power consumed by battery-powered computing devices.
Dr. Koomey also noted in the MTR article that “the power needed to perform a task requiring a fixed number of computations has been observed to fall by half every 1.5 years (or a factor of 100 every decade).” If this sounds familiar, it should. This is the same exponential improvement trend observed in 1965 by Gordon Moore – widely known as Moore’s Law. Moore’s Law accurately predicted that the number of transistors on a CPU would double every two years. The trend of peak power efficiency follows the same pattern because as we pack more transistors into a processor, the distance that electricity has to travel through the device gets smaller, the transmission speed increases and this lowers the amount of power needed to perform a given unit of computing.
But, this near-steady pace of improvement in energy efficiency has actually been slowing over the last decade and now significantly trails the Moore’s Law prediction. The question now is how best to get back on track?
De-coupling from Moore’s Law
Going forward, the power efficiency of IT is expected to continue to improve but in very different ways. For example, at my company – Advanced Micro Devices (AMD) – we recently announced an ambitious goal to increase the “typical use” energy efficiency of our entire line of mobile processors by 25 times from 2014 to 2020. We plan to achieve this through a combination of accelerated performance and reductions in the energy consumption. If we reach our goal, this means that in 2020 computers running on AMD technology could accomplish a computing task in 1/5th the time of today’s PCs while consuming less than 1/5th the power on average. To put this in perspective, try to envision getting this same performance improvement in the car you drive. Using a similar performance-to-energy use ratio: If you drive a 100 horsepower car that gets 30 miles per gallon today and were able to increase its performance by 25-fold in six years, you would be driving a 500 horsepower car that gets 150 miles per gallon in 2020.
This ambitious goal comes on the heels of a 10-fold energy efficiency improvement in this product line since 2008. The difference going forward is that many of the gains will come from outside the traditional silicon “shrink” cycle or what industry insiders call the “race to the next process node.”
Rather than waiting for the next generation of silicon technology to come on line, our approach is to aggressively design energy efficiency through processor architecture and intelligent power management. And, the energy efficiency gains made by achieving this goal would outpace the Moore’s Law efficiency trend by at least 70 percent between 2014 and 2020.
Here are a few of the key design innovations that will help propel the future of AMD energy efficient IT:
• Heterogeneous-computing and power optimisation: AMD’s accelerated processing units (APUs) include both central processing units (CPUs) and graphic processing units (GPUs) on the same piece of silicon. Combining CPUs and GPUs on the same chip saves energy by eliminating connections between discrete chips. AMD extracts even more energy savings by enabling APUs to seamlessly shift the computing workloads between the CPU and GPU to optimize efficiency, part of the Heterogeneous Systems Architecture that is now being widely adopted in the industry.
• Intelligent, dynamic power management: This could be re-titled as a “race to idle” because the energy advantages are primarily derived from finishing a job quickly and efficiently to enable a faster return to the ultra-low power idle state
• Future innovations in power-efficient design: Inter-frame power gating, per-part adaptive voltage, voltage islands, further integration of system components, and other techniques still in the development stage will continue to yield accelerated energy efficiency gains going forward. AMD had implemented an “ambidextrous” product offering to cover both ARM and x86 instruction sets – so the same power management approach can be applied to the vast majority of IT use cases (the market for ARM- and x86-based processors is expected to grow to more than $85 billion by 2017).
Why energy efficiency matters
With their lives hanging in the balance, the brave Apollo 13 astronauts struggled to conserve power. While our quest for energy efficient IT is not as acute, the stakes are high. By 2020, the number of connected devices is estimated to be nearly five times larger than the earth’s population resulting in increased energy demand. It follows that energy efficient technology is essential to achieve the promise of an IT enabled society.
And, with the massive projected increases in connected devices, there is a strong environmental motive to pursue energy efficient IT. The International Energy Agency (IEA) referred to energy efficiency as “the world’s first fuel.” Similarly, the Alliance to Save Energy stated that “energy efficiency is one of the most important tools for avoiding climate change by reducing use of fossil fuels.” While power efficient IT alone cannot fully address climate change, it is an important part of the solution.
Improvement in the power efficiency of IT devices is just part of the story. IT enabled devices can also help make other systems more energy efficient. A recent study projected IT enabled devices could cut global greenhouse gas (GHG) emissions by 16.5% in 2020. These gains will be achieved through many different applications, ranging from smart power grids, sophisticated HVAC systems, to sensor-driven intelligent traffic management and more. The study predicted that the saving from IT enabled devices would amount to $1.9 trillion in gross energy and fuel savings and a reduction of 9.1 Gigatonnes carbon dioxide-equivalent of greenhouse gases by 2020.
As someone who has worked in the high-technology industry for my entire career, I am very proud of the gains we have made in conserving power and the benefits these technologies provide to the world around us. I am even more excited about the future innovations to come.