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."
That's the real question.
Very likely there is a subconscious connection as it's really an Opteron 6200, the 2600 is a typo.
If the Cray architecture selected for Blue Waters is akin to that of Cielo then UIUC is going to rue -- RUE! -- the day they got in bed with these Cray con-men. The uptime and filesystem stability of Cielo is an absolute dog (as in, at least 2 FS rebuilds per week with data loss accompanying 2 in 5).
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How big is your desk?
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Please correct "Opteron 2600" to "Opteron 6200". There are no 2600 series chips from AMD.
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
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