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Watson now hunting down patent trolls, plans Ken Jennings' elaborate demise
The Watson supercomputer used its speech recognition, natural language processing, machine learning and data mining abilities to crush puny human Ken Jennings' dreams of winning at "Jeopardy!", but now Big Blue has it chasing down medical patent trolls for fun. Incorporating the Strategic IP Insight Platform, IBM has now programmed Watson to scan millions of pharmaceutical patents and biomedical journals to discover, analyze, and record any info pertaining to drug discovery. SIIP can then look for the names of chemical compounds, related diagrams, the company and scientist who invented and works with the compounds and related words to determine a patent's rightful owner. The SIIP function can also highlight which patents could be targeted for acquisition by trolls looking to control a property via a lawsuit or licensing agreement. Click past the break for a video outlining the project, along with Watson's announcement of its engagement to "Skynet".
NVIDIA's Tesla GPU powers Tsubame 2.0 to green supercomputer supremacy
The Green500 might not be quite as well known as the Top500, but it's no less of an honor to be counted among the world's most energy efficient supercomputers. NVIDIA is tooting its own horn for making it on to the list for the second year in a row as part of the "greenest" petaflop machine. The Tsubame 2.0 at the Tokyo Institute of Technology's Global Scientific Information Center is powered by Intel's Xeon CPUs, but NVIDIA's Tesla general purpose GPUs do a vast majority of the number crunching, allowing it to deliver 1.19 petaflops of performance while consuming only 1.2 megawatts. That's roughly 958 megaflops per watt, a huge increase over the most efficient CPU-only super computer, the Cielo Cray, which gets only 278 megaflops per watt. The Tsubame 2.0 isn't the greenest machine on the planet though, that honor belongs to IBM's BlueGene which takes the top five spots on the Green500. Still, number ten ain't bad... right? Check out the PR after the break.
Behind Amazon's Silk browser lurks a really fast supercomputer
We were hardly shocked to see Fujitsu atop the most recent list of the world's fastest supercomputers, but perhaps more surprising is the fact that Amazon cracked the top 50, as well. Turns out, the company's Elastic Compute Cloud (EC2) servers are powered by a Linux-based, 240-teraflop beast that boasts 17,024 cores, 66,000 GB of memory, and a ten gigabit Ethernet interconnect. That's good for 42nd place on Top 500's global rankings, and it's also good enough to power Silk, the browser you'll find on the Kindle Fire. But Amazon has a long way to go before catching up with the Fujitsu K, which recently cracked that vaunted ten petaflop barrier.
University gets $188 million AMD-based supercomputer, free copy of Norton
It used to be that you only needed a bachelor's degree and elbow patches to be taken seriously as an academic, but now it's all about that 50-petaflop supercomputer with 500 petabytes of storage whirring away in the basement. The University of Illinois used to shop with IBM, but it's just about to have a brand new Cray XK6 installed instead, so it can continue providing computing power to the National Science Foundation's Blue Waters project. It's not all about inciting gadget envy, of course: the machine's unlikely truce of AMD Opteron 6200 16-core processors and NVIDIA Tesla GPUs will help more than 25 teams of scientists to model and understand real-world phenomena, from the damage caused by earthquakes to the way viruses to break into cells. Breakthroughs from these projects will -- hopefully, one day -- make the $188 million total cost of Cray's products and services seem like a bargain. Full details in the PR after the break.
Barcelona readies hybrid ARM-based supercomputer, uses NVIDIA GPUs for heavy lifting
NVIDIA has announced that it'll be providing CUDA GPUs for Barcelona's Supercomputing Center, with the facility looking to substantially boost its energy efficiency with these later this week at the SC11 Conference in Seattle. While the words "low power" and "energy efficiency" are a bit of a buzz kill in the high-octane high-MFLOP world of supercomputing, the BSC thinks it'll use between 15 to 30 times less power than current systems. Titled the Mont Blanc Project, it's aiming to multiply those energy savings by four to ten times by 2014. While other supercomputers eat their way though megawatts of the electric stuff, hopefully a drop in power demands won't affect this machine's supercomputing scores.
IBM's Watson takes Harvard, MIT business students to school, drops the mic
There was a massacre in Boston the other night, and Watson had blood all over his hands. The IBM supercomputer and undisputed Jeopardy champ made a virtual appearance in Beantown this week, ostensibly as part of a symposium on the ways in which advanced analytics could reshape business. In reality, though, he only showed up to remind everyone that he's really smart. During the event, Watson squared off in a Jeopardy scrimmage against two groups of students from some of the most prestigious business schools in the world -- Harvard Business School, and MIT's Sloan School of Management. The brainiac b-schoolers (including two former Jeopardy contestants) did remarkably well for the first two rounds; Harvard managed to get within $1,800 of the machine going into Final Jeopardy, and even held the lead at one point, following a gutsy Daily Double (MIT didn't fare so well, but hey, we're all human, right?). The wheels came off, however, once the battle entered Act III, when Watson pulled away for the win. Both the computer and Team Harvard answered the final question correctly, but Watson wisely bet just enough to keep the Ivy Leaguers at bay. When the smoke cleared, Watson was left standing with $53,601, Harvard finished with $42,399 and MIT came in a distant third, with $100. Adding insult to injury is the fact that Watson wasn't even in the same building as his muggle competitors -- nor, for that matter, was he in the same state. IBM kept all of the machine's processors and memory chips at its Research Center in Yorktown Heights, New York. Watson had already come up with answers to the questions prior to this week's showdown, but placed wages, chose categories and buzzed in responses in real-time. According to IBM, Watson's presence wouldn't have changed the outcome of the game, which was followed by a discussion on the effects that similar technologies could have on the financial world. The most immediate impact? Bruised egos. Re-live the event at IBM's liveblog below, or find more information in the PR after the break.
Fujitsu's 10.51 petaflop K supercomputer is fastest in the world
Fujitsu, sweaty palmed from the construction of the K supercomputer, swore the colossal machine would manage a speed of ten petaflops by the year 2012. The effort has paid off handsomely: the hangar-sized machine has a top speed of 10.51. If you wanted to duplicate that setup at home, you'd only need 864 racks, 88,128 processors and enough cash in your back pocket to front an annual electricity bill of $10 million a year. The company will be spilling all at November's SC11 conference in Seattle, where the K will cement its position as the fastest computer in the world. One last thing -- we have a hunch that this machine can just about play Crysis.
China debuts homegrown supercomputer, hits one petaflop mark
China has already, however briefly, sat atop the Top500 list of supercomputers, but that was using silicon designed by American companies like Intel and NVIDIA. The country's latest contestant though, is sure to be a much bigger point of national pride. The Sunway BlueLight MPP, which was installed at the National Supercomputer Center in Jinan this September, is powered by 8,700 ShenWei SW1600 CPUs -- the homegrown chips that come out of Shanghai. The Sunway's one petaflop performance isn't enough to make it the new king of the hill, but it should get it into the top 20. More impressively, the machine only consumes about one megawatt of electricity -- roughly a quarter of the 2.5 petaflop Tianhe-1A. Now it's up to researchers to crank these ShenWei cores up to a 11 and make a run at that 50 petaflop Cray.
EVE Evolved: Time dilation and the war on lag
When EVE Online launched back in 2003, it quickly gained a following of over 40,000 subscribing players. With around 5,000 solar systems for players to explore, those players spread themselves throughout the galaxy rather than gathering in one place. Players would often come together to trade or make war, but the server generally kept up with the action. As the number of subscribers rose, the size of the average PvP fleet increased and CCP upgraded the EVE server to handle the additional load. 2005 saw EVE's subscriber numbers explode from just over 50,000 to around 100,000 players. Server upgrades suddenly didn't cut it any more, and lag began to set in during large fleet battles. Ever since then, CCP has waged a largely unseen war against the impossibility of keeping all of EVE's players in one single-shard universe. Holding on to that core ideal that's made EVE the successful sandbox game it is today, developers have pursued every avenue in the fight against lag. While funding research into Python's Stackless IO and constantly optimising code, CCP built the biggest supercomputer in the games industry to house New Eden's growing population. With over 400,000 players now inhabiting the same world and a typically weekly peak concurrency of over 50,000 characters, CCP has been forced to develop some big guns in the war on lag. In this week's EVE Evolved, I look at some of the biggest developments CCP has made in the war on lag, including the new Time Dilation feature that literally slows down time to let the server catch its breath.
'Monster Cat' 30,472-core supercomputer can be yours for $1,279 an hour
Nicknamed after the magical "Nekomata" cat of Japanese nightmares, Cycle Computing's monstrous new supercomputer can now be yours to rent for the low price of $1,279 an hour. By fusing together the face-melting power of 3,809 eight-core Amazon AWS Elastic Computer 2s, the company was able to create the world's 30th fastest computer with 30,472 processor cores and 27TB of memory -- primarily used for complex modeling rather than Facebooking. Components of the beast hide out in three of Amazon's EC2 data center lairs located in California, Virginia and Ireland, and communicate using HTTPS and SSH encrypted with AES-256 to keep its secrets safe and secure. Compared to the company's previous 10,000-core offering ($1,060 / hour), the new version is far more powerful and minimally more expensive, mostly because it uses spot instances (where customers bid on unused EC2 capacity) rather than pricier reserved instances. Good on you Cycle Computing, not everyone has access to a Jeopardy champ.
IBM's Watson set to tackle health insurance, takes 'Diagnosis for $1,000'
After tackling your tech support woes, the famed Watson is moving on to mop up the health insurance industry. That's right, the IBM showstopper we all know and love for trouncing trivia kings on Jeopardy has been hired by one of the largest health insurance company's in the US. WellPoint Inc. will make use of the system's breakneck speed and healthcare database alongside patient records -- allowing the supercomputer to guide treatment options and prescribe medicines. Once implemented, data will be combined from three sources in a matter of seconds: a patient's chart / records from a doctor, the insurance company's patient history and the medical knowledge that Watson already possesses. A pilot program will roll out next year to a number of cancer facilities, academic medical centers and oncology practices. No word yet on when The Watson School of Medicine will start accepting applications.
IBM developing largest data drive ever, with 120 petabytes of bliss
So, this is pretty... big. At this very moment, researchers at IBM are building the largest data drive ever -- a 120 petabyte beast comprised of some 200,000 normal HDDs working in concert. To put that into perspective, 120 petabytes is the equivalent of 120 million gigabytes, (or enough space to hold about 24 billion, average-sized MP3's), and significantly more spacious than the 15 petabyte capacity found in the biggest arrays currently in use. To achieve this, IBM aligned individual drives in horizontal drawers, as in most data centers, but made these spaces even wider, in order to accommodate more disks within smaller confines. Engineers also implemented a new data backup mechanism, whereby information from dying disks is slowly reproduced on a replacement drive, allowing the system to continue running without any slowdown. A system called GPFS, meanwhile, spreads stored files over multiple disks, allowing the machine to read or write different parts of a given file at once, while indexing its entire collection at breakneck speeds. The company developed this particular system for an unnamed client looking to conduct complex simulations, but Bruce Hillsberg, IBM's director of storage research, says it may be only a matter of time before all cloud computing systems sport similar architectures. For the moment, however, he admits that his creation is still "on the lunatic fringe."
IBM's cognitive computing chip functions like a human brain, heralds our demise (video)
After having created a supercomputer capable of hanging with Jeopardy's finest, IBM has now taken another step toward human-like artificial intelligence, with an experimental chip designed to function like a real brain. Developed as part of a DARPA project called SyNAPSE (Systems of Neuromorphic Adaptive Plastic Scalable Electronics), IBM's so-called "neurosynaptic computing chip" features a silicon core capable of digitally replicating the brain's neurons, synapses and axons. To achieve this, researchers took a dramatic departure from the conventional von Neumann computer architecture, which links internal memory and a processor with a single data channel. This structure allows for data to be transmitted at high, but limited rates, and isn't especially power efficient -- especially for more sophisticated, scaled-up systems. Instead, IBM integrated memory directly within its processors, wedding hardware with software in a design that more closely resembles the brain's cognitive structure. This severely limits data transfer speeds, but allows the system to execute multiple processes in parallel (much like humans do), while minimizing power usage. IBM's two prototypes have already demonstrated the ability to navigate, recognize patterns and classify objects, though the long-term goal is to create a smaller, low-power chip that can analyze more complex data and, yes, learn. Scurry past the break for some videos from IBM's researchers, along with the full press release.
IBM and NCSA end their Blue Waters affair, go back to just being supercomputing friends
It seems that IBM and the National Center for Supercomputing Applications at the University of Illinois have hit a snag in their once fruitful relationship. After nearly four years of partnering for the Blue Waters petascale supercomputer, the NCSA's recently released a joint statement explaining that IBM's "terminated" its involvement with the project. If you'll recall, IBM was supplying its latest Power7 rigs to get all that data flowing, but the company's now decided that Ol' Blue will require more resources than initially anticipated. Apparently, there were talks to try and keep the spark alive, but since those fell through both have decided to return each others CDs and hoodies assets involved with the project (per contract terms): IBM gives back the money, while the NCSA returns any hardware supplied. The two plan on remaining in touch for future endeavours, and the NCSA doesn't appear to be too down either as it'll be consulting with the National Science Foundation to keep Blue Waters afloat. You'll find the official statement in the source link below, but we've included a video rendition of how we'd like to imagine it past the break. [Photo credit: kosheahan]
US federal government to close 800 data centers, walk into the cloud
Sure, it's been just a few months since the National Security Agency asked for a $900 million supercomputing complex – you know, to help out with all that internet wiretapping. But concern about deficit spending will mean shuttering 800 other federal data centers in the US, or 40 percent of total government capacity. The closures are part of a larger push toward greater efficiency and consolidation, with an estimated savings of $3 billion a year; moving services to the cloud will mean more savings in licensing fees and infrastructure. Single-digit savings might sound like chump change when you realize the federal information technology budget runs around $80 billion a year, but hey, it's a start, right? [Photo thanks to Adrian Levesque and Adam Koniak.]
Intel plans exascale computing by 2018, wants to make petaflops passé
Sure, Fujitsu has a right to be proud of its K supercomputer -- performing over 8 petaflops with just under 70,000 Venus CPUs is nothing to sneeze at. Intel isn't giving up its status as the supercomputing CPU king, however, as it plans to bring exascale computing to the world by the end of this decade. Such a machine could do one million trillion calculations per second, and Intel plans to make it happen with its Many Integrated Core Architecture (MIC). The first CPUs designed with MIC, codenamed Knights Corner, are built on a 22nm process that utilizes the company's 3D Tri-Gate transistors and packs over 50 cores per chip. These CPUs are designed for parallel processing applications, similar to the NVIDIA GPUs that will be used in a DARPA-funded supercomputer we learned about last year. Here we thought the war between these two was over -- looks like a new one's just getting started. PR's after the break.
Fujitsu K supercomputer now ranked fastest in the world, dethrones China's Tianhe-1A
Remember the K -- the Fujitsu supercomputer that promised to do a whopping ten petaflops by the year 2012? Well, it hasn't reached that threshold just yet, but according to the latest Top 500 supercomputer list, it's still faster than any other machine on Earth. In fact, the top-ranked beast is more powerful than the next five supercomputers combined, consumes enough electricity to power about 10,000 homes for a full year, and is capable of churning out about 8.2 quadrillion calculations per second -- three times as many as what runner-up (and former number-one) Tianhe-1A can process. Today's announcement marks the first time since 2004 that a Japanese creation sits atop Top500.org's rankings, but Fujitsu isn't exactly resting on its laurels. Before deploying it next year, engineers at the Riken Advanced Institute for Computational Science are aiming to add about 100,000 cores to the K's collection of 548,352, which would provide it with even more computational muscle, and likely spell doom for all of humanity. Find out more in the PR after the break.
Cray XK6 supercomputer smashes petaflop record, humbly calls itself a 'general-purpose' machine
Sure, IBM's ten petaflop supercomputer may sound impressive, but Cray can do you five better -- the outfit just announced the Cray XK6, an upgradable, hybrid supercomputing system capable of more than 50 petaflops of computational muscle. Powered by Cray's Gemini interconnect, AMD Opteron 6200 processors, and NVIDIA Tesla 20-Series GPUs, the XK6 system blends x86 and GPU environments with the firm's own flavor of Linux. The folks at Cray won't resort to bragging, however -- they're humbly declaring the machine to be the first "general-purpose supercomputer based on GPU technology," and not, as they put it, a stunt to place high on any Top 500 lists. Suggestive, aren't they? Check out the unassuming press release after the break.
IBM's Jeopardy-winning supercomputer headed to hospitals. Dr. Watson, we presume?
We always knew that Watson's powers extended well beyond the realm of TV trivia, and now IBM has provided a little more insight into how its supercomputer could help doctors treat and diagnose their patients. Over the past few months, researchers have been stockpiling Watson's database with information from journals and encyclopedias, in an attempt to beef up the device's medical acumen. The idea is to eventually sync this database with a hospital's electronic health records, allowing doctors to remotely consult Watson via cloud computing and speech-recognition technology. The system still has its kinks to work out, but during a recent demonstration for the AP, IBM's brainchild accurately diagnosed a fictional patient with Lyme disease using only a list of symptoms. It may be another two years, however, before we see Watson in a white coat, as IBM has yet to set a price for its digitized doc. But if it's as sharp in the lab as it was on TV, we may end up remembering Watson for a lot more than pwning Ken Jennings. Head past the break for a video from the University of Maryland School of Medicine, which, along with Columbia University, has been directly involved in IBM's program.
Supercomputer cracks sixty-trillionth binary digit of Pi-squared, gets beaten up by normal computers
Pencils down, everyone. IBM's "BlueGene/P" supercomputer has beaten you to the sixty-trillionth binary digit of Pi-squared after only a few months -- at one quadrillion calculations per second. Running thousands of independent processors, the number-crunching monster accomplished what would have taken a single CPU 1,500 years. A cloud-computing effort last year calculated Pi itself out to the two-quadrillionth digit, but you may wonder why this all matters. "What is interesting in these computations is that until just a few years ago, it was widely believed that such mathematical objects were forever beyond the reach of human reasoning or machine computation," said one researcher, "Once again we see the utter futility in placing limits on human ingenuity and technology." So there's that. But in all the commotion no one seems to have announced whether the landmark digit was a one or a zero: all you betting on the outcome will have to dig deeper into the source link.
