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iPhone as 3D scanner

• Takes several pictures from
  different angles
• Stitches them together in mesh
  format
• Outputs standard obj models
NVIDIA Monster GPU
• M2090 has 512 cores and 665 double
  precision gigaflops
• HP Proliant G7 4U server has eight M2090
  cards
  – Used for quantum chemistry and molecular
    dynamics simulation
• Configuration as general parallel processor
NVIDIA targets mobile market
• Kal-El (Tegra-3) quadcore processor
  – 5x faster than Tegra-2
  – contains a 12 core GPU .
  – 2560x 1600 extreme HD
     • Can run 1440p on a panel of this size
     • 300 DPI image on a 10 inch tablet
  – Amazon tablet may use this chip
DNA Stored Program Computer
• Synchronized clocked pulling of stored
  sequence
  – Base pair at a time
  – Across multiple DNA strands at once.
• So, the way in open for DNA sculpted and DNA
  composed modifying nanostructures over
  time.
Ad

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Chips&toys

  • 3. iPhone as 3D scanner • Takes several pictures from different angles • Stitches them together in mesh format • Outputs standard obj models
  • 4. NVIDIA Monster GPU • M2090 has 512 cores and 665 double precision gigaflops • HP Proliant G7 4U server has eight M2090 cards – Used for quantum chemistry and molecular dynamics simulation • Configuration as general parallel processor
  • 5. NVIDIA targets mobile market • Kal-El (Tegra-3) quadcore processor – 5x faster than Tegra-2 – contains a 12 core GPU . – 2560x 1600 extreme HD • Can run 1440p on a panel of this size • 300 DPI image on a 10 inch tablet – Amazon tablet may use this chip
  • 6. DNA Stored Program Computer • Synchronized clocked pulling of stored sequence – Base pair at a time – Across multiple DNA strands at once. • So, the way in open for DNA sculpted and DNA composed modifying nanostructures over time.
  • 7. First Quantum Computer Sold • D-Wave sells quantum computer to Lockheed – Quantum annealing processor – Almost a joint research project in some aspects – Multi-year support and consulting contract in addition to device purchase – 128 qubit system
  • 9. Types of Quantum Computer • Gate Model – Standard QC model • Adiabatic QC – close contender – D-Wave 1 type • Cluster state (measurement based) – slightly more obscure • Topological quantum computing – Slighly ore obscure
  • 10. Programming Quantum Computers – QCL is a language designed for quantum algorithms • Hardware and particular QC type independent • Simulation packages for testing algorithms
  • 12. Multi-Core Throughput +40% – New prefetching algorithm • Makes best guess on which memory addresses will be accessed soon • Uses register based information to judge which cores should get what percentage of pre fetch and address bus bandwidth – 40% improvement in multi-core chips without prefetching – 10% improvement in chips that already prefetch
  • 13. Graphene closer to production
  • 14. Intel’s 3D chips for mobile devices
  • 15. Rise of ARM chips • ARM is low power/performance – 64 bit multi-core ARM Cortex A15 coming soon – Some believe Apple will move to arm even for laptops • Others discount this as too much would be disrupted moving away form the ubiquitous x86 architecture – But Apple does have its own ARM based chips – Linux netbooks based on ARM Cortex 9 (dual) chip and sA15 on Cortex • ARM chips projected to have 13% of PC market by 2015
  • 16. Home wideband audio chip • Telepresence, smart TV • Super wideband (SWB) voice input processor • High quality voice pickup and tracking up to 5 meters – Computational, communication, entertainment all voice drive • 16 bit ADC built in DSP, microphone pre-amp • $3 / chip in quantity
  • 17. Optical devices • Applied Micro 100 gigabit/s integrate CMOS optical modules – Expands optical OTU-4 inter-connection speeds from 10G to 100G – Less than 4 watts power consumption • 26 Tb/s over a single laser at 50 km – Previously required 370 lasers • PM Sierra 40G optical transceivers – 16W, 40 nm chip

Editor's Notes

  1. Engineers at the University of Washington have for the first time used manufacturing techniques at microscopic scales to combine a flexible, biologically safe contact lens with an imprinted electronic circuit and lights. "Looking through a completed lens, you would see what the display is generating superimposed on the world outside," said BabakParviz, a UW assistant professor of electrical engineering. "This is a very small step toward that goal, but I think it's extremely promising." http://uwnews.washington.edu/ni/article.asp?articleID=39094
  2. Tridimensional app.3D scanners usually cost a few thousand. Tridimensional is $0.99 plus obj file upload fees.Combine this with mesh support in virtual worlds or use Kinect. http://nextbigfuture.com/2011/05/99-cent-trimensional-app-turns-iphone-4.html
  3. Imagine a few of these in a virtual world near you.
  4. As demonstrated at the show, the chip is capable of running 1440p video content on a 2560 x 1600 panel. It also has enough horsepower to generate a Retina display-like 300 DPI image on a 10-inch tablet.
  5. A Simplifying Framework for Nanocomputing (Morgan and Claypool) describes how to build millions of DNA programs from which instructions can be peeled away one at a time from each program in synchronyhttp://nextbigfuture.com/2011/05/dna-computation.htmlhttp://www.nyu.edu/about/news-publications/news/2011/05/16/nyu-researchers-outline-method-for-dna-computation-in-new-book.html
  6. "D-Wave is thrilled to establish a strategic relationship with Lockheed Martin Corporation," said Vern Brownell, D-Wave's President and Chief Executive Officer. "Our combined strength will provide capacity for innovation needed to tackle important unresolved computational problems of today and tomorrow. Our relationship will allow us to significantly advance the potential of quantum computing.”The processor at the heart of the D-Wave OneTM can be thought of as an extremely fast physical embodiment of a Markov Random Field (MRF). Any artificial intelligence application that can be recast as a MRF can be run on a D-Wave OneTM. The bulk of the applications we've run with our scientific and industrial partners have been in this category. Examples range from binary and structured classification for computer vision and natural language processing applications, to unsupervised feature construction, to automatic analogy generation.A Markov random field, Markov network or undirected graphical model is a graphical model in which a set of random variables have a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies. It can represent certain dependencies that a Bayesian network cannot (such as cyclic dependencies); on the other hand, it can't represent certain dependencies that a Bayesian network can (such as induced dependencies). The prototypical Markov random field is the Ising model; indeed, the Markov random field was introduced as the general setting for the Ising model.[1]
  7. On equivalency of abiabatic QChttp://www.computer.org/portal/web/csdl/doi/10.1109/FOCS.2004.8
  8. Despite many common concepts with classical computer science, quantum computing is still widely considered as a special discipline within the broad field of theoretical physics. One reason for the slow adoption of QC by the computer science community is the confusing variety of formalisms (Dirac notation, matrices, gates, operators, etc.), none of which has any similarity with classical programming languages, as well as the rather ``physical'' terminology in most of the available literature. QCL (Quantum Computation Language) tries to fill this gap: QCL is a high level, architecture independent programming language for quantum computers, with a syntax derived from classical procedural languages like C or Pascal. This allows for the complete implementation and simulation of quantum algorithms (including classical components) in one consistent formalism. http://tph.tuwien.ac.at/~oemer/qcl.html
  9. Quantum computing is growing up. Repetitive error correction in a quantum processor.The quantum bit (blue) is entangled with the auxiliary qubits (red). If an error occurs, the state of the defective quantum bit is corrected. A team of physicists at the University of Innsbruck, led by Philipp Schindler and Rainer Blatt, has been the first to demonstrate a crucial element for a future functioning quantum computer: repetitive error correction. This allows scientists to correct errors occurring in a quantum computer efficiently. The researchers have published their findings in the scientific journal Science.“The difficulty arises because quantum information cannot be copied,“ explains Schindler. “This means that we cannot save information repeatedly and then compare it.“ Therefore, the physicists use one of the peculiarities of quantum physics and use quantum mechanical entanglement to perform error correction.“For a quantum computer to become reality, we need a quantum processor with many quantum bits,“ explains Schindler. “Moreover, we need quantum operations that work nearly error-free. The third crucial element is an efficient error correction.“ http://www.sciencemag.org/content/332/6033/1059http://www.physorg.com/news/2011-05-quantum-repetitive-error-processor.html
  10. http://www.engadget.com/2011/05/26/researchers-boost-multi-core-cpu-performance-with-better-prefetc/?a_dgi=aolshare_facebook
  11. picture shows individual crystal "grains" in an array of a material called graphene. Researchers have developed a method for creating the arrays, an advancement that opens up the possibility of a replacement for silicon in high-performance computers and electronics.The new findings represent an advance toward perfecting a method for manufacturing large quantities of single crystals of the material, similar to the production of silicon wafers."Graphene isn't there yet, in terms of high quality mass production like silicon, but this is a very important step in that direction,”Other researchers have grown single crystals of graphene, but no others have demonstrated how to create ordered arrays, or patterns that could be used to fabricate commercial electronic devices and integrated circuits.http://www.physorg.com/news/2011-05-graphene-electronics-material-closer-commercial.html
  12. We talked about Intel’s 3D chips and their use in 22 nm designs fairly recently.Intel says its 22nm, 3-D Tri-Gate transistors offer up to a 37 percent performance increase at low voltage compared to Intel's most recent Sandy Bridge devices based on a 32nm process.For less draw on a smart phone's or tablet's battery power, Intel said its 3-D Tri-Gate CPUs consume less than half the power than any of its most recent processors do.Besides smartphones, tablets, and PCs, Intel says the chip design will find its way into many different devices. Other applications include car electronics, spacecraft devices, household appliances, and medical devices. Intel also claims the device will show up in "virtually thousands of other everyday devices for decades.” "The low-voltage and low-power benefits far exceed what we typically see from one process generation to the next. It will give product designers the flexibility to make current devices smarter and wholly new ones possible.”
  13. ARM server side projects also in the workshttp://www.pcworld.com/article/228119/arm_accelerates_server_software_ecosystem_efforts.html
  14. http://www.businesswire.com/news/home/20110525005343/en/Conexant-Delivers-Super-Wideband-Audio-Chip-HomeAccording to a recent In-Stat report titled, “The Global Market for Web-Enabled ‘Smart’ CE Devices,” the development and use of Smart TV applications are expected to proliferate over the next five years and, as a result, web-enabled CE device shipments are expected to grow six fold, surpassing 230 million installed units by 2014. The firm also predicts that Smart TVs (that support online apps) will constitute over 50 percent of all web-enabled CE device shipments worldwide in 2015. The CX20708 samples and evaluation board are available to qualified OEM/ODM customers now. The SoC is packaged in an environmentally friendly, RoHS/green-compliant 9x9 millimeter 76-pin quad flat no-lead package. Prototype pricing is $3.00 in 1K quantities.
  15. http://www.businesswire.com/news/home/20110527005564/en/AppliedMicro-Launches-Industrys-100G-Fully-Integrated-CMOS-IcsThe company claims its 16W chip supports transmissions over 25 percent greater distances than competing devices thanks to the company's proprietary Swizzle forward error correction. The 40nm CMOS part aims to accelerate the deployment of fast metro, regional and long-haul networks.http://www.eetimes.com/electronics-news/4216252/PMC-Sierra-leaps-into-40G-optical