{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T06:58:51Z","timestamp":1774594731135,"version":"3.50.1"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2326894,2425655,2417658"],"award-info":[{"award-number":["2326894,2425655,2417658"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,1]]},"DOI":"10.1109\/fpl68686.2025.00030","type":"proceedings-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:48:24Z","timestamp":1774554504000},"page":"01-10","source":"Crossref","is-referenced-by-count":0,"title":["ATAPP: Architecture and Technology Aware Power Predictor for Unseen FPGAS"],"prefix":"10.1109","author":[{"given":"Zhigang","family":"Wei","sequence":"first","affiliation":[{"name":"The University of Texas at Austin"}]},{"given":"Aman","family":"Arora","sequence":"additional","affiliation":[{"name":"Arizona State University"}]},{"given":"Emily","family":"Shriver","sequence":"additional","affiliation":[{"name":"The University of Texas at Austin"}]},{"given":"Lizy K.","family":"John","sequence":"additional","affiliation":[{"name":"The University of Texas at Austin"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774682"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045442"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MDT.2009.69"},{"key":"ref4","volume-title":"AMD Power Estimator (XPE)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3388617"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/214"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3451179"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1145\/3489517.3530409","article-title":"Automated accelerator optimization aided by graph neural networks","volume-title":"ACM\/IEEE Design Automation Conference (DAC)","author":"Sohrabizadeh","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD57390.2023.10323853"},{"key":"ref10","article-title":"On learning-based methods for designspace exploration with High-Level Synthesis","volume-title":"ACM\/EDAC\/IEEE Design Automation Conference (DAC)","author":"Liu","year":"2013"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1145\/3400302.3415657","article-title":"Accurate operation delay prediction for FPGA HLS using graph neural networks","volume-title":"IEEE\/ACM International Conference on Computer-Aided Design (ICCAD)","author":"Ustun","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3185540"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240816"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1145\/3489517.3530408","article-title":"High-Level Synthesis Performance Prediction Using GNNs: Benchmarking, Modeling, and Advancing","volume-title":"ACM\/IEEE Design Automation Conference (DAC)","author":"Wu","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2019.00069"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465913"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD45719.2019.8942145"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045178"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3489517.3530453"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240843"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643483"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715126"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2018.00029"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3288756"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.3850\/9783981537079_0350","article-title":"Adaptive Threshold Non-Pareto Elimination: Re-thinking machine learning for system level design space exploration on FPGAs","volume-title":"Design, Automation & Test in Europe Conference & Exhibition (DATE)","author":"Meng","year":"2016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3243483"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218674"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643508"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2014.6853196"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD57390.2023.10323665"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480064"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1145\/3316781.3317884","article-title":"PRIMAL: Power Inference using Machine Learning","volume-title":"ACM\/IEEE Design Automation Conference (DAC)","author":"Zhou","year":"2019"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1145\/3508352.3549427","article-title":"DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters","volume-title":"IEEE\/ACM International Conference On Computer Aided Design (ICCAD)","author":"Xie","year":"2022"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2015.7059105"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD57390.2023.10323951"},{"key":"ref36","article-title":"How Good Is Your Verilog RTL Code? A Quick Answer from Machine Learning","volume-title":"IEEE\/ACM International Conference On Computer Aided Design (ICCAD)","author":"Sengupta","year":"2022"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3470496.3527444"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218643"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643533"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3380446.3430636"},{"key":"ref41","doi-asserted-by":"crossref","DOI":"10.7873\/DATE.2015.0924","article-title":"Dynamic Power and Performance Back-Annotation for Fast and Accurate Functional Hardware Simulation","volume-title":"Design, Automation & Test in Europe Conference & Exhibition (DATE)","author":"Lee","year":"2015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2018.00030"},{"key":"ref43","article-title":"Attention is all you need","volume-title":"International Conference on Neural Information Processing Systems (NeurIPS)","author":"Vaswani","year":"2017"},{"key":"ref44","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"International Conference on Learning Representations (ICLR)","author":"Kipf","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.14711\/thesis-991012757468803412"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2014.6983050"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2008.4541637"},{"key":"ref48","volume-title":"Polybench: The polyhedral benchmark suite","author":"Pouchet","year":"2012"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MLCAD62225.2024.10740213"}],"event":{"name":"2025 35th International Conference on Field-Programmable Logic and Applications (FPL)","location":"Leiden, Netherlands","start":{"date-parts":[[2025,9,1]]},"end":{"date-parts":[[2025,9,5]]}},"container-title":["2025 35th International Conference on Field-Programmable Logic and Applications (FPL)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11449056\/11449057\/11449106.pdf?arnumber=11449106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T05:27:33Z","timestamp":1774589253000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11449106\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,1]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/fpl68686.2025.00030","relation":{},"subject":[],"published":{"date-parts":[[2025,9,1]]}}}