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Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications., , , , , , , , , and 4 other author(s). FPGA, page 305. ACM, (2019)Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs., , , , , , , , , and 11 other author(s). CoRR, (2020)Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML., , , , , , , , , and 6 other author(s). CoRR, (2020)A methodology for power characterization of associative memories., , , , , , , and . ICCD, page 491-498. IEEE Computer Society, (2015)Fast inference of Boosted Decision Trees in FPGAs for particle physics., , , , , , , , , and 3 other author(s). CoRR, (2020)Fast convolutional neural networks on FPGAs with hls4ml., , , , , , , , , and 10 other author(s). Mach. Learn. Sci. Technol., 2 (4): 45015 (2021)A content addressable memory with multi-Vdd scheme for low power tunable operation., , , , , , , , and . MWSCAS, page 401-404. IEEE, (2017)