{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:46:34Z","timestamp":1755801994166,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,12]],"date-time":"2023-11-12T00:00:00Z","timestamp":1699747200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Department Of Energy","award":["DE-AC02-06CH11357"],"award-info":[{"award-number":["DE-AC02-06CH11357"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,12]]},"DOI":"10.1145\/3624062.3624608","type":"proceedings-article","created":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T13:53:39Z","timestamp":1699624419000},"page":"1949-1957","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1504-6768","authenticated-orcid":false,"given":"Reet","family":"Barik","sequence":"first","affiliation":[{"name":"Argonne National Laboratory, United States of America and Washington State University, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4832-0834","authenticated-orcid":false,"given":"Siddhisanket","family":"Raskar","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6279-0007","authenticated-orcid":false,"given":"Murali","family":"Emani","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7248-6116","authenticated-orcid":false,"given":"Venkatram","family":"Vishwanath","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,11,12]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2023. ALCF AI Testbed. https:\/\/www.alcf.anl.gov\/alcf-ai-testbed."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC50251.2020.00031"},{"key":"e_1_3_2_2_3_1","volume-title":"The GAP benchmark suite. arXiv preprint arXiv:1508.03619","author":"Beamer Scott","year":"2015","unstructured":"Scott Beamer, Krste Asanovi\u0107, and David Patterson. 2015. The GAP benchmark suite. arXiv preprint arXiv:1508.03619 (2015)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/HiPC53243.2021.00030"},{"key":"e_1_3_2_2_5_1","volume-title":"Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. arXiv preprint arXiv:2304.08662","author":"Burchard Luk","year":"2023","unstructured":"Luk Burchard, Max\u00a0Xiaohang Zhao, Johannes Langguth, Ayd\u0131n Bulu\u00e7, and Giulia Guidi. 2023. Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. arXiv preprint arXiv:2304.08662 (2023)."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020513"},{"key":"e_1_3_2_2_7_1","volume-title":"SuiteSparse:GraphBLAS: Graph Algorithms in the Language of Sparse Linear Algebra. ACM Trans. Math. Softw. ((under revision)","author":"Davis A.","year":"2022","unstructured":"Timothy\u00a0A. Davis. 2022. Algorithm 10xx: SuiteSparse:GraphBLAS: Graph Algorithms in the Language of Sparse Linear Algebra. ACM Trans. Math. Softw. ((under revision) 2022)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.1974.1050511"},{"key":"e_1_3_2_2_9_1","unstructured":"Graphcore. 2021. Graphcore Intelligent Processing Unit. https:\/\/www.graphcore.ai\/products\/ipu."},{"key":"e_1_3_2_2_10_1","unstructured":"Graphcore. 2023. Graphcore Bow IPU Product Description. https:\/\/docs.graphcore.ai\/projects\/bow-pod64-datasheet\/en\/latest\/product-description.html."},{"key":"e_1_3_2_2_11_1","unstructured":"Graphcore. 2023. Graphcore Website. https:\/\/www.graphcore.ai\/."},{"key":"e_1_3_2_2_12_1","unstructured":"Graphcore. 2023. Poplar SDK. https:\/\/www.graphcore.ai\/products\/poplar."},{"key":"e_1_3_2_2_13_1","unstructured":"Graphcore. 2023. PopVision Tools. https:\/\/www.graphcore.ai\/developer\/popvision-tools."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3282307"},{"key":"e_1_3_2_2_15_1","volume-title":"Dissecting the graphcore ipu architecture via microbenchmarking. arXiv preprint arXiv:1912.03413","author":"Jia Zhe","year":"2019","unstructured":"Zhe Jia, Blake Tillman, Marco Maggioni, and Daniele\u00a0Paolo Scarpazza. 2019. Dissecting the graphcore ipu architecture via microbenchmarking. arXiv preprint arXiv:1912.03413 (2019)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2488173"},{"key":"e_1_3_2_2_17_1","unstructured":"J\u00e9r\u00f4me Kunegis. 2023. Konect Dataset Repostory. http:\/\/konect.cc\/networks\/."},{"key":"e_1_3_2_2_18_1","unstructured":"J\u00e9r\u00f4me Kunegis. 2023. Konect Euroroads Dataset. http:\/\/konect.cc\/networks\/subelj_euroroad\/."},{"key":"e_1_3_2_2_19_1","volume-title":"There\u2019s plenty of room at the Top: What will drive computer performance after Moore\u2019s law?Science 368, 6495","author":"Leiserson E","year":"2020","unstructured":"Charles\u00a0E Leiserson, Neil\u00a0C Thompson, Joel\u00a0S Emer, Bradley\u00a0C Kuszmaul, Butler\u00a0W Lampson, Daniel Sanchez, and Tao\u00a0B Schardl. 2020. There\u2019s plenty of room at the Top: What will drive computer performance after Moore\u2019s law?Science 368, 6495 (2020), eaam9744."},{"key":"e_1_3_2_2_20_1","volume-title":"Kronecker graphs: an approach to modeling networks.Journal of Machine Learning Research 11, 2","author":"Leskovec Jure","year":"2010","unstructured":"Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos, and Zoubin Ghahramani. 2010. Kronecker graphs: an approach to modeling networks.Journal of Machine Learning Research 11, 2 (2010)."},{"key":"e_1_3_2_2_21_1","unstructured":"Jure Leskovec and Andrej Krevl. 2014. SNAP Datasets: Stanford Large Network Dataset Collection. http:\/\/snap.stanford.edu\/data."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2898361"},{"key":"e_1_3_2_2_23_1","volume-title":"3rd Workshop on Accelerated Machine Learning (AccML).","author":"Louw Thorben","year":"2021","unstructured":"Thorben Louw and Simon McIntosh-Smith. 2021. Using the Graphcore IPU for traditional HPC applications. In 3rd Workshop on Accelerated Machine Learning (AccML)."},{"key":"e_1_3_2_2_24_1","volume-title":"An optimised hybrid mpnn\/transformer for molecular property prediction. arXiv preprint arXiv:2212.02229","author":"Masters Dominic","year":"2022","unstructured":"Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Ladislav Ramp\u00e1\u0161ek, and Dominique Beaini. 2022. Gps++: An optimised hybrid mpnn\/transformer for molecular property prediction. arXiv preprint arXiv:2212.02229 (2022)."},{"key":"e_1_3_2_2_25_1","unstructured":"Nvidia. 2023. Nvidia Nsight Compute. https:\/\/developer.nvidia.com\/nsight-compute."},{"volume-title":"June","year":"2023","key":"e_1_3_2_2_26_1","unstructured":"Top500 Org. 2023. Top 500 Supercomputer List, June 2023. https:\/\/www.top500.org\/lists\/top500\/2023\/06\/."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.05.004"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/6.591665"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","unstructured":"Rick Stevens Valerie Taylor Jeff Nichols Arthur\u00a0Barney Maccabe Katherine Yelick and David Brown. 2020. AI for Science: Report on the Department of Energy (DOE) Town Halls on Artificial Intelligence (AI) for Science. (2020). https:\/\/doi.org\/10.2172\/1604756 doi: 10.2172\/1604756.","DOI":"10.2172\/1604756"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/79173.79181"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2014.6927483"},{"key":"e_1_3_2_2_32_1","volume-title":"Gunrock: CUDA C++ GPU Graph Analytics. https:\/\/github.com\/gunrock\/gunrock.","author":"Wang Yangzihao","year":"2023","unstructured":"Yangzihao Wang. 2023. Gunrock: CUDA C++ GPU Graph Analytics. https:\/\/github.com\/gunrock\/gunrock."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3108140"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1498765.1498785"}],"event":{"name":"SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis","acronym":"SC-W 2023","location":"Denver CO USA"},"container-title":["Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624062.3624608","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3624062.3624608","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3624062.3624608","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T03:01:44Z","timestamp":1755745304000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624062.3624608"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,12]]},"references-count":34,"alternative-id":["10.1145\/3624062.3624608","10.1145\/3624062"],"URL":"https:\/\/doi.org\/10.1145\/3624062.3624608","relation":{},"subject":[],"published":{"date-parts":[[2023,11,12]]},"assertion":[{"value":"2023-11-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}