iPhone price cuts hitting Radio Shack, Target tomorrow?

Let the speculation begin! It may not be a sign of an iPhone refresh, but we’ve received multiple tips today about an imminent price drop for Apple’s flagship smartphone. According to a pair of trusty tipsters, Radio Shack is prepping to cut the cost of AT&T’s 16GB iPhone 4 to $169.99, with a two-year contract, from $199.99. The 32GB version will likewise take a $30 plunge at the Shack, ringing in at $269.99, and the price of the 8GB 3GS will drop to $19.99. Phone Arena is likewise reporting on Target slicing up the old Apple price tag, but lists varying numbers based on carrier. If all this talk turns out to be true, those prices should be ripe for the picking starting tomorrow.

[Thanks to everyone who sent this in]

 
Neuron and DNA

Many simpler forms of life on this planet, including some of our earliest ancestors, don’t have proper brains. Instead they have networks of neurons that fire in response to stimuli, triggering reactions. Scientists from Caltech have actually figured out how to create such a primitive pre-brain using strands of DNA. Researchers, led by Lulu Qian, strung together DNA molecules to create bio-mechanical circuits. By sequencing the four bases of our genetic code in a particular way, they were able to program it to respond differently to various inputs. To prove their success the team quizzed the organic circuit, essentially playing 20 questions, feeding it clues to the identity of a particular scientist using more DNA strands. The artificial neural network nailed answer every time. Check out the PR and pair of videos that dig a little deeper into the experiment after the break.

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Caltech Researchers Create the First Artificial Neural Network Out of DNA

PASADENA, Calif.-Artificial intelligence has been the inspiration for countless books and movies, as well as the aspiration of countless scientists and engineers. Researchers at the California Institute of Technology (Caltech) have now taken a major step toward creating artificial intelligence-not in a robot or a silicon chip, but in a test tube. The researchers are the first to have made an artificial neural network out of DNA, creating a circuit of interacting molecules that can recall memories based on incomplete patterns, just as a brain can.

“The brain is incredible,” says Lulu Qian, a Caltech senior postdoctoral scholar in bioengineering and lead author on the paper describing this work, published in the July 21 issue of the journal Nature. “It allows us to recognize patterns of events, form memories, make decisions, and take actions. So we asked, instead of having a physically connected network of neural cells, can a soup of interacting molecules exhibit brainlike behavior?”

The answer, as the researchers show, is yes.

Consisting of four artificial neurons made from 112 distinct DNA strands, the researchers’ neural network plays a mind-reading game in which it tries to identify a mystery scientist. The researchers “trained” the neural network to “know” four scientists, whose identities are each represented by a specific, unique set of answers to four yes-or-no questions, such as whether the scientist was British.

After thinking of a scientist, a human player provides an incomplete subset of answers that partially identifies the scientist. The player then conveys those clues to the network by dropping DNA strands that correspond to those answers into the test tube. Communicating via fluorescent signals, the network then identifies which scientist the player has in mind. Or, the network can “say” that it has insufficient information to pick just one of the scientists in its memory or that the clues contradict what it has remembered. The researchers played this game with the network using 27 different ways of answering the questions (out of 81 total combinations), and it responded correctly each time.

This DNA-based neural network demonstrates the ability to take an incomplete pattern and figure out what it might represent-one of the brain’s unique features. “What we are good at is recognizing things,” says coauthor Jehoshua “Shuki” Bruck, the Gordon and Betty Moore Professor of Computation and Neural Systems and Electrical Engineering. “We can recognize things based on looking only at a subset of features.” The DNA neural network does just that, albeit in a rudimentary way.

Biochemical systems with artificial intelligence-or at least some basic, decision-making capabilities-could have powerful applications in medicine, chemistry, and biological research, the researchers say. In the future, such systems could operate within cells, helping to answer fundamental biological questions or diagnose a disease. Biochemical processes that can intelligently respond to the presence of other molecules could allow engineers to produce increasingly complex chemicals or build new kinds of structures, molecule by molecule.

“Although brainlike behaviors within artificial biochemical systems have been hypothesized for decades,” Qian says, “they appeared to be very difficult to realize.”

The researchers based their biochemical neural network on a simple model of a neuron, called a linear threshold function. The model neuron receives input signals, multiplies each by a positive or negative weight, and only if the weighted sum of inputs surpass a certain threshold does the neuron fire, producing an output. This model is an oversimplification of real neurons, says paper coauthor Erik Winfree, professor of computer science, computation and neural systems, and bioengineering. Nevertheless, it’s a good one. “It has been an extremely productive model for exploring how the collective behavior of many simple computational elements can lead to brainlike behaviors, such as associative recall and pattern completion.”

To build the DNA neural network, the researchers used a process called a strand-displacement cascade. Previously, the team developed this technique to create the largest and most complex DNA circuit yet, one that computes square roots.

This method uses single and partially double-stranded DNA molecules. The latter are double helices, one strand of which sticks out like a tail. While floating around in a water solution, a single strand can run into a partially double-stranded one, and if their bases (the letters in the DNA sequence) are complementary, the single strand will grab the double strand’s tail and bind, kicking off the other strand of the double helix. The single strand thus acts as an input while the displaced strand acts as an output, which can then interact with other molecules.

Because they can synthesize DNA strands with whatever base sequences they want, the researchers can program these interactions to behave like a network of model neurons. By tuning the concentrations of every DNA strand in the network, the researchers can teach it to remember the unique patterns of yes-or-no answers that belong to each of the four scientists. Unlike with some artificial neural networks that can directly learn from examples, the researchers used computer simulations to determine the molecular concentration levels needed to implant memories into the DNA neural network.

While this proof-of-principle experiment shows the promise of creating DNA-based networks that can-in essence-think, this neural network is limited, the researchers say. The human brain consists of 100 billion neurons, but creating a network with just 40 of these DNA-based neurons-ten times larger than the demonstrated network-would be a challenge, according to the researchers. Furthermore, the system is slow; the test-tube network took eight hours to identify each mystery scientist. The molecules are also used up-unable to detach and pair up with a different strand of DNA-after completing their task, so the game can only be played once. Perhaps in the future, a biochemical neural network could learn to improve its performance after many repeated games, or learn new memories from encountering new situations. Creating biochemical neural networks that operate inside the body-or even just inside a cell on a Petri dish-is also a long way away, since making this technology work in vivo poses an entirely different set of challenges.

Beyond technological challenges, engineering these systems could also provide indirect insight into the evolution of intelligence. “Before the brain evolved, single-celled organisms were also capable of processing information, making decisions, and acting in response to their environment,” Qian explains. The source of such complex behaviors must have been a network of molecules floating around in the cell. “Perhaps the highly evolved brain and the limited form of intelligence seen in single cells share a similar computational model that’s just programmed in different substrates.”

“Our paper can be interpreted as a simple demonstration of neural-computing principles at the molecular and intracellular levels,” Bruck adds. “One possible interpretation is that perhaps these principles are universal in biological information processing.

“The research described in the Nature paper, “Neural network computation with DNA strand displacement cascades,” is supported by a National Science Foundation grant to the Molecular Programming Project and by the Human Frontiers Science Program.

View the researchers’ videos (part 1, part 2) that explain their work.

 

BMW’s been teasing us with its vision for electric motoroing for years, and today, folks, the trend continues. The German automaker has unveiled two concepts from its upcoming i sub-brand: the city-dwelling i3 and a rehashed version of its i8. This is the first time we’ve officially seen the smaller of the two, as the car formerly known as the Megacity had only been spied in an official render and during routine testing at the arctic circle. It’ll haul four peeps with its 150km range (around 100 miles) and accelerate from 0-60mph in around 8 seconds. As for those with range anxiety, the German company will soothe such fears with an optional range-extending motor dubbed “REx.” Either variant could land in your garage in 2013, where you’ll be able top them up in 6 hours with a standard socket, or up to eighty percent in an hour if you’re rocking a spiffy high capacity charger.

The i8, which you’ll recall for its radical aerodynamic design and hybrid diesel-electric drivetrain, has received a bevy of aerodynamic tweaks and junked its oil burner, opting for a gasoline one instead. Engine swap aside, the sporty coupé apparently drinks only 2.7 liters per 100km — 87 mpg (!) for yanks — which is unreal in a car that’ll accelerate to 62mph in 4.6 seconds. Sound too good to be true? We’ll have to wait until 2014 to see if München can make good on those promises, but in the meantime feel free to peruse the galleries, videos, and PR after the break.

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BMW Group presents mobility of the future +++ World premiere of the BMW i3 Concept and BMW i8 Concept +++ Reithofer: A milestone in the history of the company +++ Sustainability across the entire value added chain

Frankfurt a.M. / Munich. The BMW Group showcases its visions of future mobility in the shape of the BMW i3 Concept and BMW i8 Concept studies. Unveiled for the first time, these concept vehicles provide a glimpse of the first electrically powered production cars from the new BMW i sub-brand, due to be launched as the BMW i3 in 2013 and the BMW i8 in 2014.

“We are marking another milestone in the history of the BMW Group. As Chairman of the Board and an engineer myself, I am very proud of this project,” declared Norbert Reithofer, Chairman of the Board of Management of BMW AG, at Friday’s premiere of the two vehicles in Frankfurt. “As the world’s leading premium car manufacturer, our aim is to offer customers purpose-built electric-drive cars as well,” he added.

With its zero-emission electric drive and a range of approximately 150 kilometres, the BMW i3 Concept has been specifically developed for use in an urban environment, its dynamic 125 kW electric motor and rear-wheel drive ensuring BMW-style dynamic handling. Thanks to its innovative LifeDrive architecture featuring a carbon passenger cell, the BMW i3 Concept combines an extremely low weight of 1,250 kilograms with optimal interior space and the highest crash safety levels. With four seats and a 200-litre luggage compartment, this vehicle is fully suited for everyday use.

Draeger: a revolution in car design

“This vehicle will mark the launch of the first volume-produced car featuring bodywork largely made of carbon. It’s a revolution in automotive design,” stressed Klaus Draeger, Member of the Board responsible for Development. The application of this new CFRP technology allows a weight reduction, compared to a conventional electric car, of between 250 and 350 kilos, and that means more dynamic handling coupled with a greater range. The BMW i3 does the 0 to 100 km/h sprint in less than eight seconds, while a high-speed charger achieves an 80% battery charge in just an hour.

Thanks to the emission-free drivetrain and a value added chain designed to be sustainable all along the line, life cycle emission figures for the BMW i3 are at least a third lower than for a highly efficient combustion-engine car. If the BMW i3 is run on electricity from renewable sources, the figures improve by well over 50%.

BMW i8 Concept: new-generation sports car

The BMW i8 Concept goes from 0 to 100 km/h in less than five seconds and boasts fuel consumption of under three litres per 100 km. Its plug-in hybrid drive with a system output of 260 kW allows a range of up to 35 kilometres in electric mode – sufficient for most everyday journeys. For more dynamic driving or out-of-town routes, a high-performance three-cylinder petrol engine also comes into play. The sports car has an electronically governed top speed of 250 km/h and space for up to four occupants. “The BMW i8 Concept is the sports car for a new generation – pure, emotional and sustainable,” Draeger underlined.

With BMW i, the BMW Group is corroborating its position as the most innovative and sustainable auto manufacturer in the world, as reflected in the fact that it has been the supersector leader in the Dow Jones Sustainability Indexes for the sixth year running. With BMW i, the BMW Group is providing answers to the mobility challenges of the future while pursuing a holistic approach. In addition to purpose-built premium vehicles with electric drive, the company is also offering intelligent mobility services.

The focus here is on solutions for improved use of parking space, intelligent navigation systems with location-based information, intermodal route planning and car-sharing schemes such as DriveNow. Following MyCityWay, ParkatmyHouse marks the second investment by the recently launched venture capital company BMW i Ventures in a company providing internet-based mobility services. Parkatmyhouse allows private individuals to use the internet or
smartphone app to rent out their private parking spaces on a short- or long-term basis.

Both the BMW i3 and the BMW i8 will be built at BMW’s Leipzig plant in Germany. Some 400 million euros are earmarked for investment in new buildings and facilities by 2013, while 800 new jobs are to be created. Vehicle production will be CO2 neutral and will draw on renewable resources. The company is currently investigating the possibility of erecting its own wind turbines on the plant site.

The BMW Group
The BMW Group is one of the most successful manufacturers of automobiles and motorcycles in the world with its BMW, MINI and Rolls-Royce brands. As a global company, the BMW Group operates 25 production and assembly facilities in 14 countries and has a global sales network in more than 140 countries.

During the financial year 2010, the BMW Group sold 1.46 million cars and more than 110,000 motorcycles worldwide. The profit before tax for 2010 was euro 4.8 billion on revenues amounting to euro 60.5 billion. At 31 December 2010, the BMW Group had a workforce of approximately 95,500 employees.

The success of the BMW Group has always been built on long-term thinking and responsible action. The company has therefore established ecological and social sustainability throughout the value chain, comprehensive product responsibility and a clear commitment to conserving resources as an integral part of its strategy. As a result of its efforts, the BMW Group has been ranked industry leader in the Dow Jones Sustainability Indexes for the last six years.

 

In Insert Coin, we look at an exciting new tech project that requires funding before it can hit production. If you’d like to pitch a project, please send us a tip with “Insert Coin” as the subject line.


Many of us who bike in the city ride in constant fear of being tapped by a taxi cab, or crushed by a bus. There’s no way to completely eradicate the risk of being run over by a much larger motorized vehicle, but making yourself easily visible — both at night and during the day — can certainly make a difference. Smart cyclists use hand signals long before they need to make a turn, but the YouTurn signal system aims to make those indicators difficult for drivers to miss, with an accelerometer-based gadget that illuminates an arrow in the direction of your turn. If you want to turn left, for example, simply point your hand to the left, and the device will flash a giant yellow chevron. The prototype you’ll see in the video below is integrated with a glove, though the final version will simply attach to the back of your hand, and can be stored in a bag when you’re not on your bike. There’s no mention of durability or waterproofing, though since the inventor’s objective is to enhance safety, we imagine he’ll be taking precautions to avoid electrocution in the rain.

YouTurn inventory Jack O’Neal launched a Kickstarter page to help fund his project, and is accepting preorders at $50 a pop. There’s no final pricing listed at this point, but at 50 bucks for a first-run YouTurn, we were happy to make the pledge. We hope to see O’Neal meet his funding goal and send these to production, but until then, we’ll keep looking both ways and hoping for the best.

Previous project update: The Prosthetic eye digital camera, our last Insert Coin project, has exceed its funding goal of $15,000. Kickstarter backers can join Tanya for a celebration in New York city on Sunday, or Tuesday in San Francisco.

 
Still yearning to find out when the Samsung Galaxy Tab 8.9 will be released worldwide? Aside from Sammy’s previously announced September release for the Nordic areas, there’s been no other official word on when the rest of us can get our mitts on one — not to mention that a month’s time has passed since the AT&T-banded 3G Galaxy Tab 8.9 hit the FCC. It appears that we’ll know more soon though, as Samsung’s apparently slipped out a new “app” that serves as a demo Retail Mode for the upcoming slate. Reportedly, once the store mode is downloaded from Samsung Apps and installed, using the password “5444″ will grant you the access needed to get it running on a current Galaxy Tab. You’ll find a video of the TouchWiz filled demo after the break, but don’t get to excited yet; it’s running on the 10.1-incher. Patience, friends. Patience.

[Thanks, Will]

 

The other rappers probably spend a lot of time making fun of you when you don’t have your own line of headphones. The Wu Tang’s RZA can thankfully breathe a sigh of relief as he becomes a member of the not so inclusive club that already contains the likes of Dr. Dre, Ludacris, and 50 Cent. The Gravedigga sometimes known as Bobby Digital is teaming up with WESC to bring the world Chambers, a line of over-ear headphones with flashing LEDs that light up in time with your music. Chambers will come in two versions — one targeted at consumers and another aimed at pros. The line is set to launch on August 26th. It’s not quite as awesome as that $500 Ghostface Killah doll from a few years back, but it’s a start.

 

Fancy seeing your mug enlarged to halftone-processed heights? You’re in luck, because Finnish modder Metalfusion has a homebrew solution for those Wall Street Journal-style hedcut delusions. Using a specially designed image conversion program, the DIY hobbyist tranforms .jpg, .gif or .png files into DXF-formatted dot patterns of varying density. The resulting images are then fed directly into a CNC machine where a drill is left to make the wood-carved magic happen. Need some visual confirmation of this awesome feat, then head past the break for a video demo of this old-timey optical illusion.

 

Primed goes in-depth on the technobabble you hear on Engadget every day — we dig deep into each topic’s history and how it benefits our lives. Looking to suggest a piece of technology for us to break down? Drop us a line at primed *at* engadget *dawt* com.


My, how times have changed over the last eight months. At CES 2011, we ecstatically witnessed the introduction of mobile devices with dual-core CPUs and drooled over the possibilities we’d soon have at our fingertips. Now, we look down at anything that doesn’t have more than one core — regardless of its performance. Not only are these new chips quickly becoming mainstream, Moore’s Law is in full effect with our handheld devices since tri-core and quad-core systems are just over the horizon. We can’t even fathom what’s in the pipeline for the year 2015 and beyond (we don’t think we’re too far away from that 3D shark seen in Back to the Future 2).

Let’s not get too far ahead of ourselves here, however. After all, we first need to wrap our puny human minds around the idea of what this newfound power can do, and why it’s changing the entire landscape of smartphones and tablets. In this edition of Primed, we’ll focus on why multicore technology makes such a difference in the way we use our handheld devices, whether we should even consider purchasing a handset with a single-core chip inside, and why one-core tech is so 2010. Check out the whole enchilada after the break.

Table of Contents
The birth of multicore
Benefits of multicore chips
Factors to look for
What lies ahead
Wrap-up

The birth of multicore
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We push today’s smartphones to the limit every day, completely oblivious that we’re doing that much stuff on them. As new software applications and updates come out to improve our devices, the strain on our hardware increases as it works to run the additional functionality. Faster data speeds, gaming, video conferencing, multitasking and many other performance-intensive activities add a heavy burden to our once-speedy 1GHz single-core CPU. It simply doesn’t matter if it’s continually maxed out, attempting to keep up with the smartphone’s skyrocketing demands. Such a weight on our mobile devices lend to a slower and less efficient execution — and subsequent frowns and expletives.

First, let’s get the brass tacks out of the way. A core, in its basic terminology, is a distinct CPU. Any singular core is capable of executing all of the necessary computations and instructions to ensure a smartphone can function at all. Until the last year or so, one core is all we really needed in a mobile device; there simply wasn’t enough demand on the processor to need that much more performance.

However, software became more complex, operating systems added more functionality, and mobile applications exploded in popularity. New phones can conduct video conferences, play graphics-intensive games, record video in 1080p, and multitask dozens of apps at once. These activities leave our phones with no hope of keeping up with our daily grind.

Chipmakers were able to crank out processors with faster clock speeds and slightly lower nanometer counts (more on that later), but they were quickly approaching a wall: these CPUs, if made any more powerful, would become too inefficient for use in a smartphone or tablet without making it large enough to carry cooling units. In a day and age where phonemakers are competing for the title of “world’s thinnest phone,” processors must be able to accommodate them while boosting performance simultaneously. A chip with any higher clock speed or cache — remaining confined to the same small space — would not only obliterate battery life, it would make the phone too hot to operate due to the overwhelming amount of thermal heat dissipating from it.

Luckily, desktop chipsets went through a similar conundrum five or six years ago. Single-core CPUs hit a point where boosting clock speeds became too inefficient.(More specific here) Instead of trying to bump up the capacity of one processor, the next logical step was to add more of them and split the difference. With this feat of engineering, the multicore era was born; given the rapid influx of smartphone capacity, it was only a matter of time before mobile devices followed the same path.

Benefits of multicore chips
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Multicore is swooping in to save the day. Let’s say you’re having a rough time at work; there’s deadlines to keep and the mounds of paperwork continue to pile up, and fears of getting behind are growing. How much easier would the job become if you have someone else sharing half of the workload with you? What if both of you specialize in different areas? This is an illustration of what multicore chipsets aim to do: with extra processing cores, your device’s tasks can be split up and managed much more efficiently.

A dual-core chip typically consists of two identical microprocessors living side-by-side on the same die. In a multicore system, each individual processor can tackle separate duties. If you’re running a streaming audio app while simultaneously catching up on Engadget news in the web browser, one core can now be dedicated to each specific responsibility, allowing for a faster and smoother experience not only in your multimedia and browser, but in all of your phone’s basic functions as well.

When using a phone with a single core CPU, have you ever noticed that basic processes and requests offer a fluid and smooth response — until you try watching a video or opening a MP3 file? As additional jobs get tossed into the pipeline (queues that schedule / prioritize each necessary task and tell the processor in which order to do everything), it bogs the processor down because it can only perform one task at a time. By having extra cores at the OS’s disposal, it allows core A to handle the multimedia while core B is freed to focus on the basic functions that keep the phone running smoothly.

Some requests handled by our CPU can be complex tasks consisting of multiple steps. These can take forever if only one processor’s involved, because each task has to be completed one-by-one. On a dual-core device, however, both cores employ the age-old strategy of teamwork to handle the duty faster. This is what multithreading can do to help — multiple streams of data now have more than one outlet to push through, increasing the processing time and efficiency.

Dual-core is more battery efficient

It should make sense by now why having multiple cores sharing the same workload would be a more efficient means of processing tasks on your phone. Not only does this make multitasking much less of a nightmare, it adds to your total battery life. A 1GHz dual-core chip (where both cores are 1GHz each) that splits up the assigned tasks would only need to run at half its maximum clocking speed; the reduced speed of each core will result in the same — if not slightly better — performance and lower power requirements. Lower frequencies result in less mandated voltage, and the consequential reduction of power is reduced by the square of the voltage decrease.

Most modern chipsets are designed to work with the platform’s built-in task scheduler to ensure the CPU’s running at the most optimal speed and voltage. When your device only has to worry about sustaining a few apps or basic processes, and only requires a small amount of processing power, there’s no point in keeping both cores clocked out at 1GHz each. Doing so causes the phone to undergo a large amount of idle time, so the CPU ideally will minimize its output to match what the system requires in order to maximize battery life.

In fact, some phones give you the opportunity to determine a CPU’s current clock speed, as well as its absolute minimum and maximum. If you own an Android device, one such application that can measure these stats is Quadrant Standard, a benchmark we mentioned in our last Primed. By selecting “system information,” the app will give you a full rundown of what speed your CPU’s working at currently and its upper / lower capacity.

Of course, chipmakers are doing everything possible on their end to assure higher power efficiency, but the software it runs on needs to be optimized — both from the OS and individual apps. There’s a massive amount of complexities involved when coding for multi-core devices; in most cases the OS is already optimized (Android, a Linux-based platform, has been this way practically since its inception), so any additional battery life savings are left to the devs. If developers don’t know how to code for proper multithreading, their app could ultimately suck the battery dry in no time at all because it’s still reliant on stuffing everything down one pipe. Since dual-core hasn’t been around too long, it’s likely we’ll see mammoth increases in this category as devs learn to adjust to the new chips.

Sadly, we don’t get the option of dictating how our CPUs run — manufacturers make their chips smart enough to automatically adjust clock speeds, reallocate resources to handle pre-determined tasks, and do anything else necessary to optimize your phone’s performance. This likely is for our benefit, since we’d likely just tinker with the settings and cause the phone to either underwork or overwork if we don’t know what we’re doing. Additionally, with dev coding already so advanced, user-adjustable CPUs would simply toss on an extra layer of complexity. So while we’d love to have the option of turning off specific cores and reallocating resources to however we see fit, chipmakers have at least found the most ideal way to manage our power consumption for now.

Dual-core is faster

Many chipmakers elect to run their CPUs as part of a SoC — a system-on-chip — which saves money and consolidates space inside the phone by including several elements of a phone’s processing power onto one integrated circuit. For instance, NVIDIA’s Tegra 2 throws several “purpose-built cores” in: an eight-core GeForce GPU, a core designed specially for audio, two cores for video encoding / decoding, and myriads of other cores that specialize in one form or another. By keeping these essential elements together on one SoC, it takes much less time and energy for everything to talk to each other.

Many popular websites feature ActiveX / JavaScript content, embedded video, and various other forms of multimedia. In a single-core system, that lonely CPU not only bears the load of processing the site’s content, video decoding, Flash content, and anything else related to the browser, it also is required to handle everything going on in the background — Facebook and Twitter streams, the phone app (which is constantly pinging the cell tower), messaging, calendars, and anything else. The heavy burden has the poor core overworked; it’s running at the absolute maximum frequency, it’s slowing the rest of the phone down, and it’s gobbling up battery life for breakfast. Below is a demonstration of the speed difference between a dual-core and single-core.

Faster multitasking and UI response

Smooth multitasking on a single-core device can bring lackluster results. What good does it do to have 40 apps running in the background if it takes 30 seconds to pull one of them up and begin using it? Like we mentioned earlier, the more tasks you stuff into the pipeline, the longer it takes for the processor to crank through them all. Indeed, everything suffers as a result.

Touch responsiveness typically gets hit hard in this kind of situation. Since user interaction is inherently latent as it is, further delays in processing time are inevitable when multitasking. Single-core CPUs, when being fully utilized, cannot immediately switch over to get these specific tasks taken care of. Indeed, in a dual-core system, one core can specifically work on these basic user tasks while the other tackles more intensive jobs, allowing for faster and smoother multitasking and bringing back a more immediate response to your touch gestures.

Dual-core offers a better gaming experience

Have you ever wondered why you can’t play console-quality games on your phone? Unfortunately, a chipset with this capability of handling advanced graphics of that degree hasn’t been brought to market yet (fret not, they’re on their way), but dual-core SoCs at least allow for a better gaming experience.

Multi-core technology is at the root of our most advanced gaming consoles. The Xbox 360, for instance, is outfitted with three 3.2GHz PowerPC cores and a 500MHz ATI GPU with 10MB of embedded DRAM. When we compare this setup to that found on our phones, it’s no wonder we still have a long ways to go. But we’re getting closer; today’s mobile game engines are now fitted with multithreading to take advantage of the constantly evolving CPUs that’re running them. These engines have reduced the size of individual tasks that the processor has to work through, and increased the number of threads to enable the CPU to push through more jobs simultaneously. Allowing the game’s AI to run on a separate processor as the rendering lends to a much smoother gameplay with better graphics.

Taking a look at the Adreno roadmap below, it’s not far-fetched to think that our phones and tablets will be up to par with current gaming consoles:

Many of the dual-core chipsets on market now offer a quality gaming environment that’s comparable with the last generation of consoles. Qualcomm claims its Andreno 2xx series (found in this year’s Snapdragon chips) brings game performance similar to the PlayStation 2 and the Nintendo Wii, Tegra 2 chips offer an ultra-low power GeForce GPU with eight cores to do the heavy lifting on the graphics, and Apple says the PowerVR SGX 543MP2 GPU found in its A5 SoC is nine times as powerful as the A4.

What else does an extra core offer?

Besides offering a better battery, faster loading, multithreading and improved gaming, we saw a lot of new functionality come to our phones over the last year, and multi-core tech is largely to thank. 1080p video playback and capture, glasses-free 3D technology, improved speech recognition and language processing, improved multimedia, higher-resolution displays, and many more features are much easier to accomplish using dual-core capabilities — and as we start piling on more cores, it’ll get even better.

Frankly, most of these features can be utilized on a single-core chip, but they’re done so at the expense of overall performance. When this additional functionality is used, the processor simply can’t do everything at once — it has to prioritize, and ends up getting overworked in the end. This is why we seldom see phones do this; a few more gimmicky features aren’t worth putting your handset’s reputation in jeopardy.

I don’t do much on my phone, so dual-core’s not for me.

There’s a few reasons why it makes sense to stick with a single-core device… for now, at least. The biggest one is cost. If you’re using your smartphone as a glorified calculator and planner, you’re likely not going to see a measurable difference in performance. Why pay a premium price associated with the extra core?

Another reason, which we’ll talk more at length about in the next section, is that the most powerful single-core chips on the market still have a higher clock speed than most dual-cores. But not for long — we’ll soon begin seeing multi-core chipsets clocking at 2GHz or higher.

Unless cost is a significant factor, there are very few ways to benefit from a single-core device.

Factors to consider in a mobile CPU
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By this point you should have a general idea of why we get so excited when we see anything that’s dual-core. The giddiness won’t be letting up anytime soon either; Moore’s Law is in full effect for tablets and phones as next year will witness the introduction of tri-core and quad-core devices. As we shop for another handset, there are a couple factors that are important to look at in a CPU.

Clock Speed

The most visible measurement of a CPU’s power and worth is its clock speed. Most midrange to high-end smartphones won’t settle these days for anything less than 1GHz, though this number hasn’t increased much further. Once single-core chips began reaching the 1.2-1.5GHz threshold, it was virtually impossible to continue boosting this particular number any higher without making the phone overheat too much; what’s more, dual-core chips are typically at a lower clock speed than the highest-performing singles. What gives?

When you’re given two cores at 1GHz each, your performance will become much more effective than just one core with 1.2GHz. It’s awfully hard to compare clock speeds between the two because of this. Only when we’re judging multi-core speeds on a level playing field will we actually have an accurate assessment of performance. And until the software catches up with the capability of the new multi-core chips (ie. developers code their apps to use multithreading optimally), these processors won’t give us a precise indication of how well our CPU is actually performing anyway. For now, take dual-core clock speeds at face value — a decent generalized method of measuring a CPU’s ability to perform, but that’s about it.

Nanometer count


Nanometers, in the case of a CPU, measures the size of a transistor. When it’s smaller, more transistors can fit on the same board, which generally translates into a better performance. Tinier transistors will also consume less energy, allowing the chipset to run at a higher frequency without worries of your phone melting, and we’d likely see an overall improvement in battery efficiency. Lastly, a smaller size is typically less expensive to manufacture.

The newest generation of chips offer a much smaller transistor size, with most competitive SoCs having reached 45nm. Don’t blink though — the next-gen chipsets will be as low as 28nm, and many semiconductors are already working on 10nm solutions (though time to market is way beyond the horizon).

What we can expect to see soon
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Quad-core

A few companies (such as NVIDIA and Qualcomm) have introduced quad-core chipsets that should be available for sampling sometime later this year, and will likely appear in mobile devices at some point in 2012. If this year’s been any indication, there’s a good chance we’ll see Tegra 3 — aka Kal-El — come to market first.

The transition to quad-core will give another massive boost in performance altogether. Additional cores will enable our phones to handle even more of a workload, which means we can start looking forward to console-quality gaming, an exponential increase in speed, even higher-res displays, 1440p video playback, improvements in speech recognition, and lower power consumption (to name a few). Will quad-core devices will make our current high-end handsets look turtle-slow?


NVIDIA released the above video demonstrating the graphics on Kal-El — which isn’t even running at its final market speed, by the way — and shows its comparison to a Tegra 2.

ARM Cortex A15

If your phone or tablet has a CPU from NVIDIA, Texas Instruments, Samsung, or Qualcomm in it, it’s most likely been licensed to use ARM’s chip architecture and / or instruction sets (Qualcomm designs its own chips but licenses the ARMv7 instruction set). Many of today’s dual-core devices, such as Tegra 2 and Samsung’s Exynos, run off of the ARM Cortex A9 architecture, and the company behind it all continues to refine its craft. Recently the processing giant announced its next-gen Cortex A15, which will be available by the end of 2012.

ARM’s partners will first use A15 on dual-core processors and eventually start using quad-core. At its maximum capacity, the A15 will be able to clock up to 2.5GHz and extend out to 16 cores. Certainly, it’ll be quite a while before we see phones that reach those types of numbers, but we like seeing what path is going to take us there.

Intel


Intel is one of the fiercest competitors in the desktop and laptop CPU space, but has barely even graced mobile devices with its presence. That’s all about to change, however, as the company’s released a tablet chip by the name of Oak Trail that will soon be available in Windows 7, Android, and Meego tablets. This will be succeeded by Cloverview — another tablet CPU shrunk down to 32nm — and an unnamed 22nm chipset to be announced in 2013. For smartphones, a 32nm chip code-named Medfield will begin appearing in devices early next year.

2GHz

In April, Samsung unveiled its intention to bring dual-core smartphones running at 2GHz by next year. These chips will likely be taking advantage of ARM’s Cortex-A9, which has a design that’s capable of reaching these speeds.

Wrap-up
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It’s time to look at the bottom line. Is it worth investing in a phone or tablet with a dual-core, high-performance CPU? The answer isn’t as cut and dried as we’d like it to be, but your daily grind should be a strong indicator of what your ROI will be. If all your smartphone is being used for is some basic emailing, web surfing and texting, it’s probably not worth the difference in cost to go with a better processor at this point in time — the difference won’t be that significant. But if you’re constantly using your handheld device for work, play, and everything in between, you’ll want to take advantage of the higher performance with better yields in battery life.

As you can see, the landscape of mobile processing technology is constantly evolving. Agree with Moore’s Law or not, dual-core will quickly become mainstream, and quad-core chips are likely to grace high-end devices sometime in 2012. How long will it be before cost really isn’t a factor anymore? Hard to say — for all we know, by this time next year we may be writing about single-core devices in our history e-textbooks.

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