| |
Search videos for Parallel |
|
|
|
|
Parallel Universes - Part 1
Part 2:
http://www.youtube.com/watch?v=tuT-fIPZITw
Simple explanation of extra dimensions:
http://www.youtube.com/watch?v=Z694S3cGCg0
"Everything you're about to read here seems impossible and insane, beyond science fiction, but its true"
Scientists now believe there may really be a parallel universe - in fact, there may be an infinite number of parallel universes, and we just happen to live in one of them. These other universes contain space, time and strange forms of exotic matter. Some of them may even contain you, in a slightly different form. Astonishingly, scientists believe that these parallel universes exist less than one millimetre away from us. In fact, our gravity is just a weak signal leaking out of another universe into ours.
M-Theory:
http://en.wikipedia.org/wiki/M-theory
BBC description of video:
http://www.bbc.co.uk/science/horizon/2001/paralleluni.shtml
Qunatum Computers - wiki
http://en.wikipedia.org/wiki/Quantum_computer
Length: 596
Rating: 4.90 (218 ratings)
Tags: universe science string membrane quantum galaxy infinite gravity atom particle singularity physics theory documentary
|
Play |
|
|
Parallel Tracking and Mapping for Small AR Worspaces - extra
Video results for an Augmented Reality tracking system. A computer tracks a camera and works out a map of the environment in realtime, and this can be used to overlay virtual graphics. Presented at the ISMAR 2007 conference.
This video shows extra video results made at ISMAR. All sequences were processed and recorded live on a dual-core laptop.
http://www.robots.ox.ac.uk/~gk/
Length: 193
Rating: 5.00 (76 ratings)
Tags: visual tracking augmented reality AR ISMAR 2007 computer vision
|
Play |
|
|
Disk-Based Parallel Computation, Rubik's Cube, and Checkpointing
Google Tech Talks
March, 24 2008
ABSTRACT
This talk takes us on a journey through three varied, but interconnected
topics. First, our research lab has engaged in a series of disk-based
computations extending over five years. Disks have traditionally
been used for filesystems, for virtual memory, and for databases.
Disk-based computation opens up an important fourth use: an abstraction
for multiple disks that allows parallel programs to treat them in a
manner similar to RAM. The key observation is that 50 disks have
approximately the same parallel bandwidth as a _single_ RAM subsystem.
This leaves latency as the primary concern. A second key is the use
of techniques like delayed duplicate detection to avoid latency. For
example, hash accesses accesses can be saved (even saved on disk), until
there are sufficiently many pending accesses to use standard streaming
techniques. We have designed a library for search problems that exploits
the high parallel bandwidth while hiding the latency. We build
abstractions for search that employ parallel disk-based hash arrays
with the same speed as a single hash array in a single RAM subsystem.
In the case of Rubik's cube, we exploited this mechanism by using
seven terabytes of distributed disk in a search problem that showed
that 26 moves suffice to solve Rubik's cube. Our initial efforts
emphasize idempotent operations, so that we can easily recover from
hardware or software faults. We next intend to apply a more general
solution for fault recovery: checkpointing. This separate effort
in our lab has now produced a mature, robust user-level checkpointing
program has now matured. The package works successfully in tests
on OpenMPI, MPICH-2, OpenMP, and parallel iPython (used in SciPy and
NumPy). Our DMTCP package transparently checkpoints parallel,
multi-threaded processes, with no modification either to the
operating system or to the application binaries. Extrapolating
from current experiments, we estimate that we can checkpoint a 1,000
node parallel computation in a matter of minutes. We are currently
searching for a testbed on which to demonstrate this scalability.
Speaker: Gene Cooperman
Length: 4433
Rating: 4.30 (17 ratings)
Tags: google techtalks techtalk engedu talk talks googletechtalks education
|
Play |
|
|
Nereus: Massively Parallel Computation in Java
Google Tech Talks
May, 8 2008
ABSTRACT
With 1 Billion idle PC's in the world, there is approximately $100 Billion's worth of CPU time going to waste every year. Given that insatiable global demand for computation is fuelling massive datacentre proliferation, with consequential environmental impact, surely there must be a way to leverage idle time on desktops to relieve some of this pressure?
In the past, the term "Grid Computing" has been used to encompass the idea of using idle desktop capacity productively. Unfortunately "Grid Technology" has yet to provide a solution for this global problem, especially for the vast majority of machines which are outside the corporate firewall. Nevertheless, there is a class of problems which are ideally suited for idle desktops and can leverage millions of machines if managed effectively. We use the phrase "Massively Parallel Computation" to describe such tasks, by their nature beyond the scale of any datacentre, but also beyond the capabilities of virtually all grid software too!
Nereus is a new, open source, pure Java MPC platform which finally offers an easy way to use the world's idle computers. Joining a computational project running on Nereus is as simple as clicking a link in a web page, and it provides a secure sandbox to protect the host computer from malicious software -- just like the Applet sandbox in a browser. Developing a Nereus application is also simple; it's virtually identical to building a servlet for a J2EE container, and the progamming concepts will be familiar to all Java developers (J2EE focussed or not). Nereus applications are as simple to write as any Java applet; one JAR on the classpath, one class to extend, and a small but powerful API.
Perhaps most importantly, Nereus provides a simple way for owners to delegate control of their machine to resellers, who are then able to group machines together and offer attractive resources to customers. This feature also provides for the owner getting paid for this 3rd party use -- something drastically different from many MPC projects which require people to donate their spare computer time (e.g. SETI@Home).
This talk will describe Nereus, its architecture and implementation details, as well as a step-by-step demonstration of building a "Hello Nereus" MPC application. Other demos include showing a MPC 3D rendering application -- animating a movie lightning fast. The audience will also be invited to join a Nereus MPC application created and started within the talk, using their laptops from where they sit. We can then all experience the CPU power unleashed by simply sitting in a talk!
Nereus is simple x 3; simple to deploy, simple to join, simple to use. By demonstrating this during the talk, and by showing the successful work being done at Oxford University using it we hope to simulate interest in the more widespread use of this open source technology in the next generation web.
Oh, and what about using "native" code on Nereus resources? We will show how, still within the full Java security sandbox, by using the JPC pure java x86 emulator (see JavaOne 2007/2008 and http://www-jpc.physics.ox.ac.uk )
Further information about Nereus can be found at http://www-nereus.physics.ox.ac.uk
Speaker: Dr Rhys Newman
Chief Architect IGD Group, Dept Physics Oxford University (JavaOne "Rock Star 2007")
Rhys joined the IGD group in 2004 after spending over 20 years as a programmer in industry and academia. The first 10 were in C/C++ but since then he has focused exclusively on Java technology. Rhys got his DPhil from Oxford University in 1998 and since then has worked in several technology start-ups and academic positions.
Speaker: Dr Jeff Tseng
Group Lead, Grid Technology, Dept Physics Oxford University.
Jeff formed the IGD group in 2003 when he arrived at Oxford to take up his post as University Lecturer in Physics. Before that, he was a research scientist at MIT and Fermilab working on the CDF particle physics experiment, where he built data acquisition systems out of off-the-shelf PC's and was in charge of the experiment's data handling systems and initial forays into grid com...
Length: 1651
Rating: 4.10 (8 ratings)
Tags: google techtalks techtalk engedu talk talks googletechtalks education
|
Play |
|
|
Yuko Ando 「PARALLEL」
stereo. not high-resolution.
Length: 274
Rating: 4.90 (22 ratings)
Tags: yuko andou 安藤裕子
|
Play |
|
|
