A collection of SciNet images. Click on the titles to see the images full-size, or the images to find out what story they came from.
The spring-like elasticity of skin, lungs, blood vessels, and uterine tissue is imparted by the protein elastin. Large-scale computer simulations of elastin are providing the molecular insight necessary for the design of elastin-based biomaterials. [Credit: Pomes Group, Sick Kids Hospital/University of Toronto]
Back of compute racks showing cabling and fans. [Credit: SciNet]
Gravity waves emitted after the black hole merger. See also a movie of the wave generation on Dr. Pfeiffer’s webpage at http://www.cita.utoronto.ca/~pfeiffer/images/0093g_800x600.mpg . [Credit: Harald Pfeiffer, CITA, University of Toronto]
Gas circling the Milky Way’s supermassive black hole is roiled by magnetic turbulence, and is spared the fate of being accreted into its centre. [Credit: Ue-Li Pen, University of Toronto]
SciNet Analysist Scott Northup works with users on issues of Parallel I/O [Credit: HPCS2010, SciNet, University of Toronto]
FIG. 3. (Color online) Time frequency spectra (left) for scheme I for two pump-probe time delays tdel = 5.0 fs (a) and tdel = 5.2 fs (b) and free time evolution (no probe pulse) of electron velocity (right) following excitation by the pump pulse corresponding to scheme I. From “Monitoring attosecond dynamics of coherent electron-nuclear wave packets by molecular high-order-harmonic generation”. Timm Bredtmann, Szczepan Chelkowski, and Andre ́ D. Bandrauk, Phys Rev A, 84 021401
University of Toronto to Acquire Canada’s Most Powerful Supercomputer from IBM
Cable arms [Credit: SciNet, University of Toronto]
High performance computing is being used to study how a drug candidate, scyllo-inositol, may combat neurodegeneration in Alzheimer’s patients. SciNet’s computing power is crucial to the investigation of small-molecule therapeutics for the treatment of Alzheimer’s and related neurodegenerative diseases.
Networking cables at the SciNet data centre [credit: SciNet]
Flow over a galaxy moving upwards through a galaxy cluster [Credit: Jonathan Dursi, CITA/SciNet, University of Toronto]
SOSCIP’s BG/Q Supercomputers near final installation at SciNet’s data centre
[Credit: SciNet, University of Toronto]
SciNet CTO Chris Loken with SOSCIP’s BG/Q Supercomputers
Some of the students here are cabling up what will be the “Goliath” cluster, a cluster of 3 old Pentium-4 desktops with 100Mb ethernet.
However, in high dimension, the neighborhood becomes exponentially large, and one requires an exponential number of training examples to cover it. To cover and discriminate among N regions in input space, one would need O(N) examples with a local learning algorithm, but N can grow to the power fo the space dimension.
ESO telescope image (left) courtesy of ESO; Alpha Centauri B data from Nature
SOSCIP BG/Qs operating at SciNet
A proton-proton collision event in the CMS experiment producing two high-energy photons (red towers). This is CERN we would expect to see from the decay of a Higgs boson but it is also consistent with background Standard Model physics processes. © CERN 2012
The nearby Virgo galaxy cluster, showing inferred magnetic field orientations. [Credit: Jonathan Dursi, CITA/SciNet, University of Toronto]
Chris Loken, CTO SciNet, leads a tour of HPC professionals through the energy-efficient SciNet Datacentre in 2010
Cooling pipes at the SciNet datacentre [credit: SciNet]
Observations, Modelled Observations, and Simulations of galaxies moving through a magnetic field [Credit: Jonathan Dursi, SciNet/CITA, University of Toronto]
A still from a highly chemically complex simulation of biofuel combustion, the largest ever performed. This simulation will help make biofuel combustion in aeronautics reliable, clean, and economical. [Credit: S. Dworkin, MIE, University of Toronto]
Internal cables (Credit: SciNet, University of Toronto)
CTO Software Danny Gruner at the SciNet Data Centre
A partial view of the SciNet datacentres, one of the most energy efficient in Canada. [Credit: SciNet, University of Toronto]
The SciNet supercomputer is used to investigate how antimicrobial agents function in molecular detail, a key step toward rationally designing new antibiotic drugs that work in similar ways.
The team at their booth at University College
The ACT telescope [Credit: The ACT Project]
Infiniband cabling [Credit: SciNet, University of Toronto]