Use Case

Computational fluid dynamics

Computational fluid dynamics (CFD) codes are a central component of aerospace and energy research. These workloads require massive sparse computation at extraordinary memory and communication bandwidth. Researchers typically take great lengths to develop state of the art implementations on massive supercomputers. The Cerebras WSE-2 puts all of these resources on a single chip, delivering supercomputer-impossible performance of 100s-10,000s of legacy C/GPU machines for this work.

Working with researchers at the National Energy Technology Laboratory (NETL), Cerebras showed that a single Cerebras system can outperform one of the fastest supercomputers in the US by more than 200X on a stencil computing workload.

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use case

AI-accelerated modeling & simulation

Traditional HPC can be accelerated by AI surrogate models that learn physics or by AI models that augment traditional supercomputers to inform the next steps of a physics-based simulation code. As the world’s fastest AI computer, the CS-2 is uniquely well-suited as a specialist accelerator for this type of work in a heterogenous AI+HPC cluster.

In addition, the Cerebras architecture can massivelly accelerate sparse linear algebra and tensor workloads, stencil-based partial differential equation (PDE) solvers, N-body problems, and signal processing algorithms such as FFT.

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Use Case

Molecular dynamics

Molecular dynamics simulations power a range of applications from drug discovery to materials science. Calculating the time dependent state and interactions across large-scale simulations typically requires hundreds of nodes on a supercomputer. Deep neural networks are increasingly used for the prediction of energies and forces in molecules. With the CS-2, researchers can train physics-informed neural networks and accelerate MD simulations codes on a single machine with the WSE-2’s high bandwidth local on-wafer SRAM and interconnect.

Customer spotlight

Customer: Argonne National Laboratory

At Argonne National Laboratory (ANL), Cerebras Systems is working with research staff in the Computing, Environment, and Life Sciences (CELS) directorate to accelerate groundbreaking scientific and technical innovation in biology and life sciences.

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"The CS-1 allowed us to reduce the experiment turnaround time on our cancer prediction models by 300X, ultimately enabling us to explore questions that previously would have taken years, in mere months."

Rick Stevens

Associate Laboratory Director of Computing, Environment and Life Sciences
@ Argonne National Laboratory

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