Development case studies of large-scale computations using FPGA.

Are you struggling with large-scale computations? Implement computation blocks on an FPGA on a PCI Express card.

We would like to introduce a case study of large-scale computation development using FPGA conducted by our company. FPGAs excel at complex calculations with conditional branching and interrelated computations. Our customer was performing calculations using a GPU (NVIDIA Quadro RTX 8000), and when we compared the computation time on FPGA with that on GPU, we found a difference of about 14 to 15 times. 【Case Overview】 ■ Target Area: Accelerating computations unsuitable for GPUs using FPGA ■ System Configuration: Implementation of computation blocks on an FPGA on a PCI Express card ■ Performance Comparison between FPGA and GPU: A difference of about 14 to 15 times ■ Essential building blocks for large-scale computation have already been developed ■ Compatible with both Windows OS and Linux OS *For more details, please refer to the PDF document or feel free to contact us.

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