Slashdot Mirror
Installation of Blue Waters Petaflop Supercomputer Begins
An anonymous reader writes "The National Center for Supercomputing Applications at the University of Illinois is finally getting the troubled Blue Waters supercomputer installed. After IBM walked away from the project after 3 years of planning, Cray stepped in to pick up the $188 million contract. Now, in around 9 months time, Blue Waters should be fully operational and achieve performance of 1 petaflop or more. As for the hardware... who wouldn't want access to 235 Cray XE6 cabinets using AMD 16 core Opteron 2600 processors with access to 1.5 petabytes of memory (4GB per chip) and 500 petabytes of local storage."
Let's look this up. 7 years ago #1 on the Top500 was an IBM BlueGene/L at 70 TFLOPS. I can't see that performance anywhere close on the desktop or even on the notebook market.
Assuming you're running a good SLI systems and that your GPUs actually deliver the performance the manufacturer is claiming them to have, you'd get in the best case something around 1.5 TFLOPS which corresponds roughly to a 1998 ASCI Red.
Computer simulation made easy -- LibGeoDecomp
At a gigaflop per watt that's 24 MWh a day, $1.3 million a year in power bills at $0.15/kWh.
Please correct "Opteron 2600" to "Opteron 6200". There are no 2600 series chips from AMD.
Different file systems - Cielo is running Panasas (pfs) and Blue Waters will be running Lustre...
Ironic CAPTA: painless
The University of Illinois generates much of their own power, and has relatively low electric rates because of this. This year the rates are posted as $0.0754/KWh. Its also doubtful they will be operating continuously at peak capacity.
And on a related note, the building housing Blue Waters has been certified LEED Gold by the USGBC in an effort to minimize the energy and cost impact of operating the new facility.
It is very nice that AMD Opterons are mentioned and petaflops are celebrated, but aren't those petaflops mostly delivered by NVIDIA's Kepler Tesa cards?
From the TFA:
Cray XK6 blades with NVIDIA(R) Tesla(TM) GPUs, based on NVIDIA
(NASDAQ: NVDA) next-generation 'Kepler' architecture, which is
expected to more than double the performance of the Fermi GPU on
double-precision arithmetic.
Dear afabbro,
You are largely correct. Most software has not sped up much since the 1970s, and it could even be argued that developers write such sloppy code these days that even our improved compilers can't compensate, especially in applications where performance is no longer critical.
On the other hand, since about 2006 there have been some tremendous advances in algorithms. One optimization problem I work on, Basis Pursuit Denoising http://en.wikipedia.org/wiki/Basis_pursuit_denoising, has had on the order of a 10-fold increase in real-world speed on constant hardware every year for the past 5 years (see http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5940245 for my contribution).
These advances are not just academic games; they are actually worth doing. They could eventually lead to computers with sensory processing routines that have a mote of common sense to them, able to perform some real-world tasks we currently need humans for.
While I agree that by and large, most software is getting fat and lazy, there are a few problems where today's algorithms on 2002 hardware mop the floor with 2002 algorithms on today's hardware.
Best,
LeDopore
Expected time to finish is 1 hour and 60 minutes.
UIUC runs their own power plant, and I used to live in an apartment on campus not too far from it. That thing put off so much steam that every morning fog was rolling across the street in front of where I lived. If I remember correctly, they also use the steam to heat a lot of the buildings on campus as well, via steam tunnels under the streets. They leak a lot, so there were always a few places you could stop on the sidewalk to warm yourself up before walking the rest of the way to class. Most of this was on the older side of campus. I'm sure most UIUC Slashdot readers spent more of their time north of Green street in the engineering quad where everything is a lot newer ;-).
---Alex