{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T04:06:10Z","timestamp":1754021170049,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"DOE Office of Science","award":["DE-AC05-00OR22725"],"award-info":[{"award-number":["DE-AC05-00OR22725"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,3]]},"DOI":"10.1145\/3565053.3565054","type":"proceedings-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T17:10:56Z","timestamp":1695229856000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluating HPC Kernels for Processing in Memory"],"prefix":"10.1145","author":[{"given":"Kazi","family":"Asifuzzaman","sequence":"first","affiliation":[{"name":"Oak Ridge National Laboratory, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Alaul Haque","family":"Monil","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"Liu","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffrey S","family":"Vetter","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,9,20]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n.d.]. ECP Proxy Application. https:\/\/proxyapps.exascaleproject.org\/app\/. Accessed: 2022-08-30."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750385"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322266"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"S. Ghose A. Boroumand J.\u00a0S. Kim J. G\u00f3mez-Luna and O. Mutlu. [n.d.]. Processing-in-memory: A workload-driven perspective. 63 6([n. d.]) 3:1\u20133:19. https:\/\/doi.org\/10.1147\/JRD.2019.2934048","DOI":"10.1147\/JRD.2019.2934048"},{"key":"e_1_3_2_1_5_1","unstructured":"Saugata Ghose Kevin Hsieh Amirali Boroumand Rachata Ausavarungnirun and Onur Mutlu. [n.d.]. Enabling the Adoption of Processing-in-Memory: Challenges Mechanisms Future Research Directions. arXiv:1802.00320\u00a0[cs.AR]"},{"key":"e_1_3_2_1_6_1","unstructured":"Juan G\u00f3mez-Luna Izzat\u00a0El Hajj Ivan Fernandez Christina Giannoula Geraldo\u00a0F. Oliveira and Onur Mutlu. [n.d.]. Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture. arXiv:2105.03814\u00a0[cs.AR]"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2017.8167757"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS47924.2020.00076"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299874.3319483"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"Won Jeon Jiwon Lee Dongseok Kang Hongju Kal and Won\u00a0Woo Ro. [n.d.]. PIMCaffe: Functional Evaluation of a Machine Learning Framework for In-Memory Neural Processing Unit. 9 ([n. d.]) 96629\u201396640. https:\/\/doi.org\/10.1109\/ACCESS.2021.3094043","DOI":"10.1109\/ACCESS.2021.3094043"},{"volume-title":"Lulesh programming model and performance ports overview","author":"Karlin I.","key":"e_1_3_2_1_11_1","unstructured":"I. Karlin. 2012. Lulesh programming model and performance ports overview. Technical Report. Lawrence Livermore National Lab.(LLNL), CA, United States)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2015.2414456"},{"key":"e_1_3_2_1_13_1","unstructured":"Youngeun Kwon and Minsoo Rhu. [n.d.]. Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning. arXiv:1902.06468\u00a0[cs.DC]"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00013"},{"key":"e_1_3_2_1_15_1","unstructured":"Orian Leitersdorf Ronny Ronen and Shahar Kvatinsky. [n.d.]. MultPIM: Fast Stateful Multiplication for Processing-in-Memory. arXiv:2108.13378\u00a0[cs.AR]"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458744.3473351"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"Yun Long Taesik Na and Saibal Mukhopadhyay. [n.d.]. ReRAM-Based Processing-in-Memory Architecture for Recurrent Neural Network Acceleration. 26 12([n. d.]) 2781\u20132794. https:\/\/doi.org\/10.1109\/TVLSI.2018.2819190","DOI":"10.1109\/TVLSI.2018.2819190"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","unstructured":"Anni Lu Xiaochen Peng Yandong Luo Shanshi Huang and Shimeng Yu. [n.d.]. A Runtime Reconfigurable Design of Compute-in-Memory\u2013Based Hardware Accelerator for Deep Learning Inference. 26 6 Article 45 ([n. d.]) 18\u00a0pages. https:\/\/doi.org\/10.1145\/3460436","DOI":"10.1145\/3460436"},{"key":"e_1_3_2_1_19_1","volume-title":"MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs. In International Conference on High Performance Computing. Springer, 233\u2013255","author":"Alaul\u00a0Haque Monil Mohammad","year":"2022","unstructured":"Mohammad Alaul\u00a0Haque Monil, Seyong Lee, Jeffrey\u00a0S Vetter, and Allen\u00a0D Malony. 2022. MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs. In International Conference on High Performance Computing. Springer, 233\u2013255."},{"key":"e_1_3_2_1_20_1","unstructured":"Ataberk Olgun Juan\u00a0G\u00f3mez Luna Konstantinos Kanellopoulos Behzad Salami Hasan Hassan O\u011fuz Ergin and Onur Mutlu. [n.d.]. PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM. arXiv:2111.00082\u00a0[cs.AR]"},{"key":"e_1_3_2_1_21_1","unstructured":"Geraldo\u00a0F Oliveira Juan G\u00f3mez-Luna Lois Orosa Saugata Ghose Nandita Vijaykumar Ivan Fernandez Mohammad Sadrosadati and Onur Mutlu. 2021. DAMOV. https:\/\/github.com\/CMU-SAFARI\/DAMOV."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2105.03725"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","unstructured":"Naebeom Park Sungju Ryu Jaeha Kung and Jae-Joon Kim. [n.d.]. High-Throughput Near-Memory Processing on CNNs with 3D HBM-like Memory. 26 6 Article 48 ([n. d.]) 20\u00a0pages. https:\/\/doi.org\/10.1145\/3460971","DOI":"10.1145\/3460971"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2967938.2967940"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702715"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508148.2485963"},{"key":"e_1_3_2_1_27_1","unstructured":"Baohua Sun Daniel Liu Leo Yu Jay Li Helen Liu Wenhan Zhang and Terry Torng. [n.d.]. MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. arXiv:1811.12179\u00a0[eess.SP]"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","unstructured":"Jialiang Zhang Yue Zha Nicholas Beckwith Bangya Liu and Jing Li. [n.d.]. MEG: A RISCV-Based System Emulation Infrastructure for Near-Data Processing Using FPGAs and High-Bandwidth Memory. 13 4 Article 19 ([n. d.]) 24\u00a0pages. https:\/\/doi.org\/10.1145\/3409114","DOI":"10.1145\/3409114"}],"event":{"name":"MEMSYS 2022: 2022 International Syposium on Memory Systems","acronym":"MEMSYS 2022","location":"Washington DC USA"},"container-title":["Proceedings of the 2022 International Symposium on Memory Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3565053.3565054","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3565053.3565054","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3565053.3565054","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:52Z","timestamp":1750186972000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3565053.3565054"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,3]]},"references-count":28,"alternative-id":["10.1145\/3565053.3565054","10.1145\/3565053"],"URL":"https:\/\/doi.org\/10.1145\/3565053.3565054","relation":{},"subject":[],"published":{"date-parts":[[2022,10,3]]},"assertion":[{"value":"2023-09-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}