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 that our company has conducted. 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 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 materials or feel free to contact us.
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D-CLUE is a solution vendor that develops "sensing network systems" required in various fields. As symbolized by keywords such as big data, cloud, IoT, and sensor networks, we are in an era where various challenges in our society can be solved by leveraging advanced computing. However, no matter how advanced computing becomes, if we cannot accurately sense information from the real world, digitize it, and communicate it precisely, we cannot utilize advanced computing systems like the cloud. D-CLUE is a solution vendor that can develop and provide the necessary "sensing systems" for "feeling," "processing," and "connecting" in a one-stop manner. D-CLUE brings together specialists from various fields such as analog, digital, firmware, and algorithm development, enabling us to provide sensing systems needed in all areas of society.