<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cai, Lei</style></author><author><style face="normal" font="default" size="100%">Jing Wang</style></author><author><style face="normal" font="default" size="100%">Yu, Lianfeng</style></author><author><style face="normal" font="default" size="100%">Yan, Bonan</style></author><author><style face="normal" font="default" size="100%">Tao, Yaoyu*</style></author><author><style face="normal" font="default" size="100%">Yang, Yuchao*</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Accelerating Neural-ODE Inference on FPGAs with Two-Stage Structured Pruning and History-Based Stepsize Search</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">FPGA &amp;amp;amp;#039;23</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">FPGA</style></keyword><keyword><style  face="normal" font="default" size="100%">history-based stepsize search</style></keyword><keyword><style  face="normal" font="default" size="100%">inference accelerator</style></keyword><keyword><style  face="normal" font="default" size="100%">neural ordinary differential equations</style></keyword><keyword><style  face="normal" font="default" size="100%">two-stage coarse-grained/fine-grained structured pruning</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1145/3543622.3573044</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Association for Computing Machinery</style></publisher><pub-location><style face="normal" font="default" size="100%">New York, NY, USA</style></pub-location><pages><style face="normal" font="default" size="100%">177–183</style></pages><isbn><style face="normal" font="default" size="100%">9781450394178</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>