Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform

no code implementations • 31 Jul 2017 • Chaim Baskin, Natan Liss, Evgenii Zheltonozhskii, Alex M. Bronshtein, Avi Mendelson

Using quantized values enables the use of FPGAs to run NNs, since FPGAs are well fitted to these primitives; e. g., FPGAs provide efficient support for bitwise operations and can work with arbitrary-precision representation of numbers.

General Classification