World's Most Powerful Private Supercomputer Will Hunt Oil and Gas
Nerval's Lobster writes "French oil conglomerate Total has inaugurated the world's ninth-most-powerful supercomputer, Panega. Its purpose: seek out new reservoirs of oil and gas. The supercomputer's total output is 2.3 petaflops, which should place it about ninth on today's TOP500 list, last updated in November. The announcement came as Dell and others prepare to inaugurate a new supercomputer, Stampede, in Texas on March 27. What's noteworthy about Pangea, however, is that it will be the most powerful supercomputer owned and used by private industry; the vast majority of such systems are in use by government agencies and academic institutions. Right now, the most powerful private supercomputer for commercial use is the Hermit supercomputer in Stuttgart; ranked 27th in the world, the 831.4 Tflop machine is a public-private partnership between the University of Stuttgart and hww GmbH. Panega, which will cost 60 million Euro ($77.8 million) over four years, will assist decision-making in the exploration of complex geological areas and to increase the efficiency of hydrocarbon production in compliance with the safety standards and with respect for the environment, Total said. Pangea will be will be stored at Total's research center in the southwestern French city of Pau."
2.3 gigaflops is on most everyone's desktop today. Maybe you mean 2.3 teraflops?
This has to be 2.3 *peta* FLOPS not giga FLOPS. For instance, in 2010, an Intel desktop processor could do 109 gigaFLOPS (reference: http://en.wikipedia.org/wiki/FLOPS).
Go Badgers! -- #include "std/disclaimer.h"
So.... why are we wasting the most powerful computer on non renewable sources of energy?
Hunting for big oil just seems... wrong. Why cant we use this computer to find cures, track the stars, simulate atoms?
Crap, I got it wrong too. Not 2.3 teraflops either. 2300 teraflops = 2.3 petaflops.
When I saw "Panega", my first thought was "For a geological supercomputer, that's a nice pun on Pangea, isn't it?" Well, then I noticed that it's not a pun, just a typo. ;-)
Ezekiel 23:20
I bet cold-pressed humans are a wonderful source of hydrocarbons.
Quite an impressive system in general terms, 2.3PF without accelerators says a lot about the size of this machine (48 racks):
"Pangea is manufactured by SGI, built on the ICE-X platform. In a video, Total said that each blade contains four Xeon processors (most likely the E5-2600, which SGI uses), each with 32 cores and 128 Gbytes of RAM. Each M-Rack contains 72 blades, for a total of 288 processors, 2304 cores, and 9 TB of RAM. An M-Cell contains four M-Racks and 2 C-Racks for 288 blades, 1,152 processors, 9,216 cores, and 32 TB of RAM. In all, 12 M-Cells are used, with 110,592 cores, 442 TB of RAM, and 120 km of fiber-optic cable connecting it all up. Pangea also includes 12 bays, with 600 1-TB drives each, and 4 petabytes of magnetic tape for archiving data."
A system of this size with accelerators would exceed easily 10PF, although I am not sure whether the particular workload to be ran on this beast would be suitable for any kind of accelerators (anybody has an idea on that?). Now I have a question: what is TACC going to do with so many Xeon Phi accelerators not delivering the promised performance? Will intel provide them with the second generation of MICs for free or will that upgrade cost another big chunk of taxpayers money?
X.
I couldn't care less about that nonsense. I'm waiting for the day they use this system to hunt humans. Dissenters, etc...
Python: 'And then suddenly you have a language which says "we're all stuck with whatever the whiniest coder wants".'
Oil and gas?! How about Solar? Wind? GeoThermal? LFTR/Thorium? Why are we blowing computer power on dying industries!?
What is this?! The Freakin' Flintstones?!
How about useful commercial work?
How about just less single purpose?
It is not like you can take a bitcoin rig and do anything worthwhile with it.
How can sole number crunching power find the actual oil/gas reservoirs?
There are actually quite a few of these big machines. Most of them in Houston, but some in Europe. Every major Oil Company and Every large Seismic company has one. They are all huge, and I have never seen on of them shut down to run benchmarks, and most folks don't externally advertise their existence. The cost too much and they have too much backlog and will never appear on a bullshit benchmark web page reserved for underutilized supercomputers. To the person asking if these are overkill? No, The folks referencing the RTM, FWI etc have hit the equations on the head. One processing job may take 6 + months to run a single migration using 20,000 + cpus. They run all kinds of cpus' gpu's and change out masses of them every time there is a step change in a chip for efficiency. If they had chips 100 times more powerful, they have equations waiting for them. with regards to the person or people talking about carbon ending it all etc.. These machines enable the reservoir engineers to target more reservoirs and then deplete these reservoirs more efficiently leaving less hydrocarbon behind (theoretically reducing the number of dry wells) We will never run out of oil, we will however run out of the technology to efficiently extract it from the ground. ( or it will become cost prohibitive) Carbon use however is another kettle of fish. Making hydrocarbon more expensive will only push coal back front. (look at china, germany etc) Until use is addressed, alternative will be what they could be. Doing things like shooting ourselves in the foot with ethanol is a good way not to proceed though
It is not like you can take a bitcoin rig and do anything worthwhile with it.
I'm typing this slashdot comment right now with it. My graphics card is mining in the background, in parallel with providing the display for both monitors. The displays only slow it down about 2%, and playing video on the larger monitor eats about 1/6 of the mining speed. If I was playing a heavy duty video game I would have to shut down the mining program, but most other PC tasks can work just fine in parallel.