{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T19:06:11Z","timestamp":1763924771365,"version":"build-2065373602"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/padsw.2018.8645000","type":"proceedings-article","created":{"date-parts":[[2019,2,21]],"date-time":"2019-02-21T23:23:38Z","timestamp":1550791418000},"page":"417-424","source":"Crossref","is-referenced-by-count":14,"title":["GPGPU Performance Estimation with Core and Memory Frequency Scaling"],"prefix":"10.1109","author":[{"given":"Qiang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xiaowen","family":"Chu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2009.5306797"},{"journal-title":"GPU Computing SDK","year":"0","key":"ref32"},{"journal-title":"NVIDIA Inspector","year":"0","key":"ref31"},{"journal-title":"NVIDIA Pro filer","year":"0","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2012.23"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2593069.2593208"},{"key":"ref12","article-title":"GPUWattch: Enabling Energy Optimizations in GPG-PUs","author":"leng","year":"2013","journal-title":"PROC of the 40th ISCA"},{"key":"ref13","first-page":"97","article-title":"How a single chip causes massive power bills GPUSim-Pow: A GPGPU power simulator","author":"lucas","year":"2013","journal-title":"ISPASS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2009.4919648"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2015.7056063"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2014.23"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2013.73"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/GREENCOMP.2010.5598315"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2333526"},{"journal-title":"CUDA C Programming Guide","year":"0","key":"ref28"},{"journal-title":"Microsoft computational network toolkit offers most efficient distributed deep learning computational performance","year":"2015","author":"huang","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3152042.3152066"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2016.10.001"},{"journal-title":"Computer Architecture A Quantitative Approach","year":"2011","author":"hennessy","key":"ref29"},{"journal-title":"Introducing Titan advancing the era of accelerating computing","year":"0","author":"laboratory","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1555754.1555775"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2962131"},{"key":"ref2","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems, 2015","author":"abadi","year":"0","journal-title":"software available from tensorflow org"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2830772.2830826"},{"key":"ref1","article-title":"Torch7: A matlab-like environment for machine learning","author":"collobert","year":"0","journal-title":"BigLearn NIPS Workshop"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2010.5452013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44917-2_13"},{"key":"ref21","article-title":"Micro-benchmarking the C2070","author":"meltzer","year":"2013","journal-title":"GPU Technology Conference"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1815961.1815998"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2549523"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00072"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2370036.2145819"}],"event":{"name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","start":{"date-parts":[[2018,12,11]]},"location":"Singapore, Singapore","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8635632\/8644527\/08645000.pdf?arnumber=8645000","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,25]],"date-time":"2019-03-25T23:06:36Z","timestamp":1553555196000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8645000\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/padsw.2018.8645000","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}