Accelerated Machine Learning on Intel® FPGAs Using oneAPI

In this demonstration, InAccel* presented how their machine-learning applications run up to 40x faster using oneAPI. As a use case, logistic regression training is shown to run 42x faster on an Intel® Arria® 10 FPGA using the oneAPI interface. The reference code for the model was ported to DPC++ and the results were compared. The implementation was done on Intel FPGA using the oneAPI development flow.

Intel® FPGA Add-On for oneAPI Base Toolkit

Program these reconfigurable hardware accelerators to speed up specialized, data-centric workloads. This add-on requires installation of the Intel® oneAPI Base Toolkit.


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Product and Performance Information

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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.