{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:46:50Z","timestamp":1750308410438,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,9]]},"DOI":"10.1145\/3458744.3473353","type":"proceedings-article","created":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T16:38:30Z","timestamp":1632415110000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Intra- \u00adand Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation"],"prefix":"10.1145","author":[{"given":"Pin-Wei","family":"Liao","sequence":"first","affiliation":[{"name":"National Taiwan University"}]},{"given":"Wei-Chung","family":"Hsu","sequence":"additional","affiliation":[{"name":"National Taiwan University, Taiwan"}]},{"given":"Shih-Wei","family":"Liao","sequence":"additional","affiliation":[{"name":"National Taiwan University"}]}],"member":"320","published-online":{"date-parts":[[2021,9,23]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Fused-Layer CNN Accelerators. In The 49th Annual IEEE\/ACM International Symposium on Microarchitecture","author":"Alwani Manoj","year":"2016","unstructured":"Manoj Alwani , Han Chen , Michael Ferdman , and Peter Milder . 2016 . Fused-Layer CNN Accelerators. In The 49th Annual IEEE\/ACM International Symposium on Microarchitecture ( Taipei, Taiwan) (MICRO-49). IEEE Press, Article 22, 12\u00a0pages. Manoj Alwani, Han Chen, Michael Ferdman, and Peter Milder. 2016. Fused-Layer CNN Accelerators. In The 49th Annual IEEE\/ACM International Symposium on Microarchitecture (Taipei, Taiwan) (MICRO-49). IEEE Press, Article 22, 12\u00a0pages."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001177"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3358198"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054275"},{"key":"e_1_3_2_1_5_1","volume-title":"Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. arxiv:1911.09925\u00a0[cs.DC]","author":"Genc Hasan","year":"2019","unstructured":"Hasan Genc , Ameer Haj-Ali , Vighnesh Iyer , Alon Amid , Howard Mao , John Wright , Colin Schmidt , Jerry Zhao , Albert Ou , Max Banister , Yakun\u00a0Sophia Shao , Borivoje Nikolic , Ion Stoica , and Krste Asanovic . 2019 . Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. arxiv:1911.09925\u00a0[cs.DC] Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Wright, Colin Schmidt, Jerry Zhao, Albert Ou, Max Banister, Yakun\u00a0Sophia Shao, Borivoje Nikolic, Ion Stoica, and Krste Asanovic. 2019. Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. arxiv:1911.09925\u00a0[cs.DC]"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2000.839382"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157096.3157251"},{"key":"e_1_3_2_1_8_1","volume-title":"Deep Learning With Limited Numerical Precision. CoRR","author":"Gupta Suyog","year":"2015","unstructured":"Suyog Gupta , Ankur Agrawal , Kailash Gopalakrishnan , and Pritish Narayanan . 2015. Deep Learning With Limited Numerical Precision. CoRR ( 2015 ). arxiv:1502.02551\u00a0[cs.LG] http:\/\/arxiv.org\/abs\/1502.02551v1 Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, and Pritish Narayanan. 2015. Deep Learning With Limited Numerical Precision. CoRR (2015). arxiv:1502.02551\u00a0[cs.LG] http:\/\/arxiv.org\/abs\/1502.02551v1"},{"key":"e_1_3_2_1_9_1","volume-title":"Deep Compression: Compressing Deep Neural Networks With Pruning, Trained Quantization and Huffman Coding. CoRR","author":"Han Song","year":"2015","unstructured":"Song Han , Huizi Mao , and William\u00a0 J. Dally . 2015 . Deep Compression: Compressing Deep Neural Networks With Pruning, Trained Quantization and Huffman Coding. CoRR (2015). arxiv:1510.00149\u00a0[cs.CV] http:\/\/arxiv.org\/abs\/1510.00149v5 Song Han, Huizi Mao, and William\u00a0J. Dally. 2015. Deep Compression: Compressing Deep Neural Networks With Pruning, Trained Quantization and Huffman Coding. CoRR (2015). arxiv:1510.00149\u00a0[cs.CV] http:\/\/arxiv.org\/abs\/1510.00149v5"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems -","volume":"1","author":"Han Song","year":"2015","unstructured":"Song Han , Jeff Pool , John Tran , and William\u00a0 J. Dally . 2015 . Learning Both Weights and Connections for Efficient Neural Networks . In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 (Montreal, Canada) (NIPS\u201915). MIT Press, Cambridge, MA, USA, 1135\u20131143. Song Han, Jeff Pool, John Tran, and William\u00a0J. Dally. 2015. Learning Both Weights and Connections for Efficient Neural Networks. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 (Montreal, Canada) (NIPS\u201915). MIT Press, Cambridge, MA, USA, 1135\u20131143."},{"key":"e_1_3_2_1_11_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). nil. https:\/\/doi.org\/10","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). nil. https:\/\/doi.org\/10 .1109\/cvpr.2016.90 10.1109\/cvpr.2016.90 Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). nil. https:\/\/doi.org\/10.1109\/cvpr.2016.90"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2845948","article-title":"Gene Amdahl, 1922\u20132015","volume":"59","author":"Staff CACM","year":"2015","unstructured":"CACM Staff . 2015 . Gene Amdahl, 1922\u20132015 . Commun. ACM 59 , 1 (Dec. 2015), 29. https:\/\/doi.org\/10.1145\/2845948 10.1145\/2845948 CACM Staff. 2015. Gene Amdahl, 1922\u20132015. Commun. ACM 59, 1 (Dec. 2015), 29. https:\/\/doi.org\/10.1145\/2845948","journal-title":"Commun. ACM"},{"key":"e_1_3_2_1_13_1","unstructured":"Arthur Stoutchinin Francesco Conti and Luca Benini. 2019. Optimally Scheduling CNN Convolutions for Efficient Memory Access. arxiv:1902.01492\u00a0[cs.NE]  Arthur Stoutchinin Francesco Conti and Luca Benini. 2019. Optimally Scheduling CNN Convolutions for Efficient Memory Access. arxiv:1902.01492\u00a0[cs.NE]"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2017.2688340"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/113446.113449"}],"event":{"name":"ICPP 2021: 50th International Conference on Parallel Processing","acronym":"ICPP 2021","location":"Lemont IL USA"},"container-title":["50th International Conference on Parallel Processing Workshop"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3458744.3473353","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3458744.3473353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:06Z","timestamp":1750268946000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3458744.3473353"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,9]]},"references-count":15,"alternative-id":["10.1145\/3458744.3473353","10.1145\/3458744"],"URL":"https:\/\/doi.org\/10.1145\/3458744.3473353","relation":{},"subject":[],"published":{"date-parts":[[2021,8,9]]},"assertion":[{"value":"2021-09-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}