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The milestone calculation with a relatively small server infrastructure enables small and medium-size oil and energy companies to take advantage of computer-based reservoir modeling and optimize production from their asset portfolio.Д«illion cell simulations in the industry are rare in practice, but the calculation was accomplished to highlight the performance differences between new fully GPU based codes like the ECHELON reservoir simulator and equivalent legacy CPU codes. The scale, speed and efficiency of the reported result disprove this preconception. This latest advance challenges perceived misconceptions that GPUs could not be efficient on complex application codes like reservoir simulators and are better suited to simple, more naturally parallel applications such as seismic imaging. Stone Ridge did this calculation on two racks of IBM Power Systems machines that could fit in the space of half a ping-pong table.' The previous record used more than 700,000 processors in a supercomputer installation that occupies nearly half a football field. 'By running ECHELON on IBM Power Systems, users can achieve faster run-times using a fraction of the hardware. 'This milestone calculation illuminates the advantages of the IBM POWER architecture for data intensive and cognitive workloads.' said Sumit Gupta, IBM Vice President, High Performance Computing, AI & Analytics. 'By increasing compute performance and efficiency by more than an order of magnitude, we're democratizing HPC for the reservoir simulation community.' That speed lets reservoir engineers run more models and 'what-if' scenarios than previously so they can have insights to produce oil more efficiently, open up fewer new fields and make responsible use of limited resources' said Vincent Natoli, President of Stone Ridge Technology. 'This calculation is a very salient demonstration of the computational capability and density of solution that GPUs offer. Stone Ridge Technology, maker of the ECHELON petroleum reservoir simulation software, completed the billion-cell reservoir simulation in 92 minutes using 30 IBM Power Systems S822LC for HPC servers equipped with 60 POWER processors and 120 NVIDIAВ® Tesla(TM) P100 GPU accelerators. A billion-cell simulation is extremely challenging due to the level of detail it seeks to provide.

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The results aim to transform the price and performance for business critical High Performance Computing (HPC) applications for simulation and exploration.Д®nergy companies use reservoir modeling to predict the flow of oil, water and natural gas in the subsurface of the earth before they drill to figure out how to more efficiently extract the most oil. The breakthrough achievement used 60 Power processors and 120 GPU accelerators shattering the previous supercomputer record which used over a 700,000 processors.

The news demonstrates the ability of NVIDIA GPUs to simulate one billion cell models in a fraction of the published time, while delivering 10x the performance and efficiency than legacy CPU codes. Working with NVIDIA, the companies shattered previous published results using one-tenth the power and 1/100th of the space. In fact, both cards involve AMD's Navi 23 die, with the 6600 either copying or slashing specs while also dropping in MSRP from $379 to $329.ARMONK, N.Y., Ap/PRNewswire/ - IBM (NYSE: IBM) and Stone Ridge Technology today announced a performance milestone in reservoir simulation designed to help improve efficiency and lower the cost of production. just like its older sibling, the RX 6600XT, which came and went in August. It's loudly positioned as a '1080p' resolution card. AMD's RX 6600, which goes on sale at some point today, is nowhere near the drastic card that AMD arguablyВ needs right now.

You might assume this would compel AMD to try something drastic with its latest GPU.

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Yet, Steam hardware surveys have told a tale of Nvidia enjoying a noticeable installation lead with its current-day RTX 3000 series of GPUs (5.76 percent of all registered GPUs on Steam in September 2021, excluding laptop variants) over AMD's RDNA 2 (0.16 percent in the form of a single GPU, and that's not a decimal-point typo). But the little public-facing data we have doesn't bear that out.Д«oth AMD and Nvidia are in similar chip-shortage boats-all leaky and going down the same hellish supply chain creek without a paddle.

#Nvidia stone Pc

In case you wanted more neon in your RX 6600, PowerColor has you covered.ДЄMD's latest lower-end graphics card, the RX 6600, is its sixth RDNA 2 offering in the past 12 months-a fact that might lead you to believe the company is making a killing in the world of PC GPUs these days.