Compare that efficiency gain to your next-gen car! 4th Generation AMD EPYC computing efficiency compared to previous generation.Ĭalculations based on benchmark result and CPU TDP provided pre-launch. The mighty, core-count-wise unmatched AMD EPYC 9654 again takes the crown for the best efficiency: 58% better than last generation’s king with 64 cores when running Simcenter STAR-CCM+, as shown in the table below. The investment of a few percentage points of energy results in a greater share of runtime reduction, so the computation gets up to 41% more energy efficient after all.
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The AMD EPYC 9004 Series processors have a higher thermal design power than their predecessors and thus enable more thermal headroom in systems powered by these processors. If your CPU uses the same power but finishes the CFD job earlier, you save energy on the whole run. But they can change how much of it is needed for a certain computation. Talking about future applications: the socket SP5 plan is to remain for several years to come, so upgrading to newer generations in the future will result in limited hardware costs.Įvery single bit of electricity pumped into the CPU is converted into heat, I am afraid.All other future applications like future graphic cards, network connectors and many more will benefit from these interfaces. Saving your simulation gets faster as well – as you can address your hard drives with 128 or up to 160 PCIe 5.0 lanes (single socket/dual socket mainboards).But 6 TB RAM roughly equals three BILLION cells – one to two orders of magnitude above industrial standard use cases! For CFD on smaller devices, RAM used to be the “GO/NO GO” decision, as you need to fit the whole simulation with its huge mesh into the simulation. Whereas the 3 rd generation had 8 memory channels, the 4 th generation AMD EPYC processor has 12 channels, and it supports up to 6 TB of RAM. This new memory is faster than the predecessor, vital for simulation. If the data is not there, the new AMD EPYC 9004 series processors can fetch it even faster, as it now supports new memory features: The further increased processor cache size makes it more likely that the necessary data for the next calculation is already stored in that ultra-fast memory. This is even more likely to happen with the new 4 th generation AMD EPYC processors. And this is the reason why clusters are suited for those tasks: Unlike a consumer desktop CPU, AMD EPYC processors are not bottlenecked by their cache size.Īnd if you have two nodes working on a single simulation – you also have twice the cache! So, you are multiplying raw processor speed and adding extra ultra-fast cache. It is a fantastillion times faster than RAM. The cache is a “small” (rumored to exceed 1 GB soon…) memory located directly in the CPU chip. the raw processor speed – determined by core count, clock speed, instructions per cycle…Īlthough some nerds might know something about RAM speed, maybe even timings, relatively few know how the cache works.Fast CFD codes like Simcenter STAR-CCM+ rely on two pillars in computing: Well, the answer is hidden within the chip. This totally contradicts common sense! How can two boosters combined be more than twice as fast? Previous tests on multi-node servers showed that the previous generation more than doubled the overall speed when doubling the number of nodes working on a single simulation. More super-linear speedup? How is that even possible? The all-new processors show a significant speed-up when compared to the previous generation with the above use cases. Not really back to the sixties, but we do have some history. These CFD benchmarks are run in Simcenter STAR-CCM+ on various machines under constant boundary conditions, as they have been for many years. Siemens and AMD ran several benchmarks to stress the advantages of the new AMD EPYC™ 9004 series processors with multiple CFD use cases: Nowadays, one of the fastest and most scalable ways is deploying a whole cluster to solve your simulation.
Over the last years, Simcenter STAR-CCM+ has been used not only to develop innumerable products but also to test new hardware – so the engineer knows what to expect if opting for this or that processor.
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