{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T08:40:47Z","timestamp":1770280847668,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","funder":[{"name":"Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.RS-2025-02216517, Development of Reconfigurable AI Processor Software Framework Technologies","award":["No.RS-2025-02216517"],"award-info":[{"award-number":["No.RS-2025-02216517"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,16]]},"DOI":"10.1145\/3769002.3769981","type":"proceedings-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T19:16:19Z","timestamp":1770232579000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Study of DNN Profilers"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6654-326X","authenticated-orcid":false,"given":"Jeonghwan","family":"Oh","sequence":"first","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9300-8114","authenticated-orcid":false,"given":"Hangyeol","family":"Kim","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0886-9056","authenticated-orcid":false,"given":"Kyungeun","family":"Oh","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7937-6358","authenticated-orcid":false,"given":"Jiman","family":"Hong","sequence":"additional","affiliation":[{"name":"Soongsil University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,2,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3467017"},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Beyond data and model parallelism for deep neural networks","volume":"1","author":"Jia Z.","year":"2019","unstructured":"Z. Jia, M. Zaharia, and A. Aiken. 2019. Beyond data and model parallelism for deep neural networks. Proceedings of Machine Learning and Systems 1, 1\u201313.","journal-title":"Proceedings of Machine Learning and Systems"},{"key":"e_1_3_2_1_3_1","volume-title":"Systems Performance: Enterprise and the cloud","author":"B.","year":"2020","unstructured":"Gregg, B. 2020. Systems Performance: Enterprise and the cloud (2nd ed.). Addison-Wesley Professional.","edition":"2"},{"key":"e_1_3_2_1_4_1","unstructured":"J. Roskind. The Python Profilers (profile). https:\/\/github.com\/python\/cpython\/blob\/3.13\/Lib\/profile.py"},{"key":"e_1_3_2_1_5_1","unstructured":"The PyTorch team. Pytorch Autograd Profiler. https:\/\/docs.pytorch.org\/docs\/2.8\/autograd.html#profiler"},{"key":"e_1_3_2_1_6_1","unstructured":"TensorFlow Team. TensorFlow Profiler Guide. https:\/\/www.tensorflow.org\/guide\/profiler"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"M. Leinhauser J. Young S. Bastrakov R. Widera R. Chatterjee and S. Chandrasekaran. 2021. Performance analysis of PIConGPU: particle-in-cell on GPUs using NVIDIA's NSight systems and NSight compute (No. ORNL\/TM-2020\/1813). Oak Ridge National Laboratory (ORNL) Oak Ridge TN United States.","DOI":"10.2172\/1761619"},{"key":"e_1_3_2_1_8_1","volume-title":"High Performance Parallel I\/O","author":"Carns P.","unstructured":"P. Carns. 2014. Darshan. In High Performance Parallel I\/O, Chapman and Hall\/CRC, 351 -358."},{"key":"e_1_3_2_1_9_1","unstructured":"R. Kern. line_profiler: Line-by-line profiling for Python. https:\/\/github.com\/pyutils\/line_profiler. (line profiler)"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems","author":"Paszke A.","year":"2019","unstructured":"A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. K\u00f6pf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, and S. Chintala. 2019. PyTorch: An imperative style, high-performance deep learning library. Proceedings of the 33rd International Conference on Neural Information Processing Systems (2019), 8026\u20138037"},{"key":"e_1_3_2_1_11_1","first-page":"43","article-title":"DrGPU: A top-down profiler for GPU applications","volume":"2023","author":"Hao Y.","year":"2023","unstructured":"Y. Hao et al. 2023. DrGPU: A top-down profiler for GPU applications. Proc. ACM\/SPEC ICPE 2023, 43\u201353.","journal-title":"Proc. ACM\/SPEC ICPE"},{"key":"e_1_3_2_1_12_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"event":{"name":"RACS '25: International Conference on Research in Adaptive and Convergent Systems","location":"Ho Chi Minh Vietnam","acronym":"RACS '25","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the International Conference on Research in Adaptive and Convergent Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3769002.3769981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T19:17:33Z","timestamp":1770232653000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3769002.3769981"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,16]]},"references-count":13,"alternative-id":["10.1145\/3769002.3769981","10.1145\/3769002"],"URL":"https:\/\/doi.org\/10.1145\/3769002.3769981","relation":{},"subject":[],"published":{"date-parts":[[2025,11,16]]},"assertion":[{"value":"2026-02-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}