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byteLAKE has created a set of highly optimized CFD kernels that leverage the speed and energy efficiency of Xilinx Alveo FPGA accelerator cards to create a high-performance platform for complex engineering analysis.
• Faster time to results and more efficient processing compared to CPU-only nodes
• 4x faster results
• 80% lower energy consumption
• Up to 6x better Performance per Watt
• Compatible with geophysical models like EULAG
• Configurable code
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This is the presentation about the non-AI version of byteLAKE's CFD kernels, highly optimized for Alveo FPGA. Based on this research project and many others in the CFD space, we decided to shift the course of the CFD Suite product development and leverage AI to accelerate computations and enable new possibilities. Instead of adapting CFD solvers to accelerators, we use AI and work on a cross-platform solution. More on the latest: www.byteLAKE.com/en/CFDSuite.
Update for 2020: byteLAKE is currently developing CFD Suite as AI for CFD Suite, a collection of AI/ Artificial Intelligence Models to accelerate and enable new features for CFD simulations. It is a cross-platform solution (not only for FPGAs). More: www.byteLAKE.com/en/CFDSuite.