Al writes "European researchers have taken a step towards replicating the functioning of the brain in silicon, creating new custom chip with the equivalent of 200,000 neurons linked up by 50 million synaptic connections. The aim of the Fast Analog Computing with Emergent Transient States (FACETS) project is to better understand how to construct massively parallel computer systems modeled on a biological brain. Unlike IBM's Blue Brain project, which involves modeling a brain in software, this approach makes it much easier to create a truly parallel computing system. The set-up also features a distributed algorithm that introduces an element of plasticity, allowing the circuit to learn and adapt. The researchers plan to connect thousands of chips to create a circuit with a billion neurons and 10^13 synapses (about a tenth of the complexity of the human brain)."

igrigorik writes "The generality and simplicity of Google's Map-Reduce is what makes it such a powerful tool. However, what if instead of using proprietary protocols we could crowd-source the CPU power of millions of users online every day? Javascript is the most widely deployed language — every browser can run it — and we could use it to push the job to the client. Then, all we would need is a browser and an HTTP server to power our self-assembling supercomputer (proof of concept + code). Imagine if all it took to join a compute job was to open a URL."

supaneko writes "I am working with a non-profit that will eventually host a massive online self-help archive and community (using FTP and HTTP services). We are expecting 1,000+ unique visitors / day. I know that having only one server to serve this number of people is not a great idea, so I began to look into clusters. After a bit of reading I determined that I am looking for high availability, in case of hardware fault, and network load balancing, which will allow the load to be shared among the two to six servers that we hope to purchase. What I have not been able to determine is the 'perfect' solution that would offer efficiency, ease-of-use, simple maintenance, enjoyable performance, and a notably better experience when compared to other setups. Reading about Windows 2003 Clustering makes the whole process sounds easy, while Linux and FreeBSD just seem overly complicated. But is this truly the case? What have you all done for clustering solutions that worked out well? What key features should I be aware for successful cluster setup (hubs, wiring, hardware, software, same servers across the board, etc.)?"

MojoKid writes "Lenovo's ThinkPad W700 is a unique product, targeted squarely at mobile professionals who require the power, features, and performance of workstation-class product in a notebook. The machine has a few stand-out integrated features, like a Wacom Digitizer Tablet and X-Rite Color Calibrator. In addition, the ThinkPad W700ds version and adds a secondary, slide-out 10.6" WXGA+ display, which increases monitor real-estate by 39% spanning across its two panels. HotHardware's video demonstrates the machine's arsenal of toys for the graphics pro, in a somewhat portable desktop replacement notebook."

Brietech writes "Ever wanted to own your own supercomputer? This guy recreated a 31-processor SIMD supercomputer from the early 1980s called the 'Non-Von 1' in an FPGA. It uses a 'Non-Von Neumann' architecture, and was intended for extremely fast database searches and artificial intelligence applications. Full-scale models were intended to have more than a million processors. It's a cool project for those interested in 'alternative' computer architectures, and yes, full source code (Verilog) is available, along with a python library to program it with." Hope the WIPO patent has expired.

eldavojohn writes "When it's built, 'Sequoia' will outshine every super computer on the top 500 list today. The specs on this 96 rack beast are a bit hard to comprehend as it consists of 1.6 million processors and some 1.6TB of memory. That's 1.6 million processors — not cores. Its purpose? Primarily to keep track of nuclear waste & simulate explosions of nuclear munitions, but also for research into astronomy, energy, the human genome, and climate change. Hopefully the government uses this magnificent tool wisely when it gets it in 2012."

overheardinpdx writes "I'm sad to report that longtime HPC technology pundit Roland Piquepaille (rpiquepa) died this past Tuesday. Many of you may know of him through his blog, his submissions to Slashdot, and his many years of software visualization work at SGI and Cray Research. I worked with Roland 20 years ago at Cray, where we both wrote tech stories for the company newsletter. With his focus on how new technologies modify our way of life, Roland was really doing Slashdot-type reporting before there was a World Wide Web. Rest in peace, Roland. You will be missed." The notice of Roland's passing was posted on the Cray Research alumni group on Linked-In by Matthias Fouquet-Lapar. There will be a ceremony on Monday Jan. 12, at 10:30 am Paris time, at Père Lachaise.

eldavojohn writes "UMass Dartmouth Physics Professor Gaurav Khanna and UMass Dartmouth Principal Investigator Chris Poulin have created a step-by-step guide designed to show you how to build your own supercomputer for about $4,000. They are also hoping that by publishing this guide they will bring about a new kind of software development targeting this architecture & grid (I know a few failed NLP projects of my own that could use some new hardware). If this catches on for research institutions it may increase Sony's sales, but they might not be seeing the corresponding sale of games spike (where they make the most profit)."

Startled Hippo writes "Japan's Tsubame supercomputer was ranked 29th-fastest in the world in the latest Top 500 ranking with a speed of 77.48T Flops (floating point operations per second) on the industry-standard Linpack benchmark. Why is it so special? It uses NVIDIA GPUs. Tsubame includes hundreds of graphics processors of the same type used in consumer PCs, working alongside CPUs in a mixed environment that some say is a model for future supercomputers serving disciplines like material chemistry." Unlike the GPU-based Tesla, Tsubame definitely won't be mistaken for a personal computer.

Richard Kelleher writes "It seems the current design of multi-core processors is not good for the design of supercomputers. According to IEEE: 'Engineers at Sandia National Laboratories, in New Mexico, have simulated future high-performance computers containing the 8-core, 16-core, and 32-core microprocessors that chip makers say are the future of the industry. The results are distressing. Because of limited memory bandwidth and memory-management schemes that are poorly suited to supercomputers, the performance of these machines would level off or even decline with more cores.'"

gupg writes "NVIDIA announced a new category of supercomputers — the Tesla Personal Supercomputer — a 4 TeraFLOPS desktop for under $10,000. This desktop machine has 4 of the Tesla C1060 computing processors. These GPUs have no graphics out and are used only for computing. Each Tesla GPU has 240 cores and delivers about 1 TeraFLOPS single precision and about 80 GigaFLOPS double-precision floating point performance. The CPU + GPU is programmed using C with added keywords using a parallel programming model called CUDA. The CUDA C compiler/development toolchain is free to download. There are tons of applications ported to CUDA including Mathematica, LabView, ANSYS Mechanical, and tons of scientific codes from molecular dynamics, quantum chemistry, and electromagnetics; they're listed on CUDA Zone."

An anonymous reader writes "According to an article in the BBC, IBM will lead an ambitious DARPA-funded project in 'cognitive computing.' According to Dharmendra Modha, the lead scientist on the project, '[t]he key idea of cognitive computing is to engineer mind-like intelligent machines by reverse engineering the structure, dynamics, function and behaviour of the brain.' The article continues, 'IBM will join five US universities in an ambitious effort to integrate what is known from real biological systems with the results of supercomputer simulations of neurons. The team will then aim to produce for the first time an electronic system that behaves as the simulations do. The longer-term goal is to create a system with the level of complexity of a cat's brain.'"

chirishnique and other readers sent in a story in AFP about a heroic supercomputer computation that has verified Einstein's most famous equation at the level of subatomic particles for the first time. "A brainpower consortium led by Laurent Lellouch of France's Centre for Theoretical Physics, using some of the world's mightiest supercomputers, have set down the calculations for estimating the mass of protons and neutrons, the particles at the nucleus of atoms. ... [T]he mass of gluons is zero and the mass of quarks is only five per cent. Where, therefore, is the missing 95 per cent? The answer, according to the study published in the US journal Science on Thursday, comes from the energy from the movements and interactions of quarks and gluons. ... [E]nergy and mass are equivalent, as Einstein proposed in his Special Theory of Relativity in 1905." Update: 11/21 15:50 GMT by KD : New Scientist has a slightly more technical look at the accomplishment.

yanx0016 writes "Wow, that's some news this week at SuperComputing 08. Apparently Microsoft Windows HPC Server 2008, with a Chinese hardware OEM (Dawning), made #10 on the Top500 list, edging out #11 by only 600 Gflops. Folks were shocked to see Microsoft getting so serious around HPC; I think we are only beginning to see a glimpse of Microsoft in the HPC field."

geaux and other readers let us know that the new Top 500 Supercomputer list is out. The top two both break the Petaflops barrier: LANL's IBM "RoadRunner" and ORNL's Cray XT5 "Jaguar." (Contrary to our discussion a few days back, IBM's last-minute upgrade of RoadRunner salvaged the top spot for Big Blue. Kind of like bidding on eBay.) The top six all run in excess of 400 Teraflops. HP has more systems in the top 500 than IBM, reversing the order of the previous list. Both Intel and AMD issued press releases crowing over their wins, and both are correct — AMD highlights its presence in 7 of the top 10, while Intel boasts that 379 of the top 500 use their chips.

Protoclown writes "The National Center for Computational Sciences (NCCS), located at Oak Ridge National Labs (ORNL) in Tennessee, has upgraded the Jaguar supercomputer to 1.64-petaflops for use by scientists and engineers working in areas such as climate modeling, renewable energy, materials science, fusion and combustion. The current upgrade is the result of an addition of 200 cabinets of the Cray XT5 to the existing 84 cabinets of the XT4 Jaguar system. Jaguar is now the world's most powerful supercomputer available for open scientific research."

eldavojohn writes "A special issue of Notices of the American Mathematical Society (AMS) provides four beautiful articles illustrating formal proof by computation. PhysOrg has a simpler article on these assistant mathematical computer programs and states 'One long-term dream is to have formal proofs of all of the central theorems in mathematics. Thomas Hales, one of the authors writing in the Notices, says that such a collection of proofs would be akin to the sequencing of the mathematical genome.' You may recall a similar quest we discussed."

Amazon has announced several major improvements to its EC2 service for cloud computing. The service is now in production (no longer beta); it offers a service-level agreement; and Windows and SQL Server are available in beta form. ZDNet points out that all this news is intended to take some wind out of Microsoft's sails as MS is expected to introduce its own cloud services next week at its Professional Developers Conference.

CWmike writes "Former Reserve Bank chairman Alan Greenspan has long praised technology as a tool to limit risks in financial markets. In 2005, he said better risk scoring by high-performance computing made it possible for lenders to extend credit to subprime borrowers. But today Greenspan told Congress that the data fed into financial systems was often a case of garbage in, garbage out. Christopher Cox, chairman of the Securities and Exchange Commission, told the committee that bad code led the credit rating agencies to give AAA ratings to mortgage-backed securities that didn't deserve them. Explaining in his testimony what failed, Cox noted a 2004 decision to rely on the computer models for assessing risks — a decision that essentially outsourced regulatory duties to Wall Street firms themselves."

rennerik writes "Scientists at McGill University in Montreal say they've discovered a new state of matter that could help extend Moore's Law and allow for the fabrication of more tightly packed transistors, or a new kind of transistor altogether. The researchers call the new state of matter 'a quasi-three-dimensional electron crystal.' It was discovered using a device cooled to a temperature about 100 times colder than intergalactic space, following the application of the most powerful continuous magnetic field on Earth."