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Available: https:\/\/www.hotchips.org\/hc30\/2conf\/2.07_ARM_ML_Processor_HC30_ARM_2018_08_17.pdf  \"ARM's First Generation ML Processor HotChips 30.\" [Online]. Available: https:\/\/www.hotchips.org\/hc30\/2conf\/2.07_ARM_ML_Processor_HC30_ARM_2018_08_17.pdf"},{"key":"e_1_3_2_1_3_1","unstructured":"\"Artisan Memory Compilers \" https:\/\/developer.arm.com\/ip-products\/physical-ip\/embedded-memory.  \"Artisan Memory Compilers \" https:\/\/developer.arm.com\/ip-products\/physical-ip\/embedded-memory."},{"key":"e_1_3_2_1_4_1","unstructured":"\"Jetson TX2 Module \" https:\/\/developer.nvidia.com\/embedded\/jetson-tx2.  \"Jetson TX2 Module \" https:\/\/developer.nvidia.com\/embedded\/jetson-tx2."},{"key":"e_1_3_2_1_5_1","first-page":"8","article-title":"Micron 178-Ball, Single-Channel Mobile LPDDR3 SDRAM Features","volume":"3","unstructured":"\" Micron 178-Ball, Single-Channel Mobile LPDDR3 SDRAM Features .\" [Online]. 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Available: https:\/\/www.micron.com\/support\/tools-and-utilities\/power-calc"},{"key":"e_1_3_2_1_7_1","unstructured":"\"OpenHeritage 3D dataset \" https:\/\/www.openheritage3d.org.  \"OpenHeritage 3D dataset \" https:\/\/www.openheritage3d.org."},{"key":"e_1_3_2_1_8_1","unstructured":"\"Waymo Offers a Peek Into the Huge Trove of Data Collected by Its Self-Driving Cars \" https:\/\/spectrum.ieee.org\/cars-that-think\/transportation\/self-driving\/waymo-opens-up-part-of-its-humongous-selfdriving-database.  \"Waymo Offers a Peek Into the Huge Trove of Data Collected by Its Self-Driving Cars \" https:\/\/spectrum.ieee.org\/cars-that-think\/transportation\/self-driving\/waymo-opens-up-part-of-its-humongous-selfdriving-database."},{"key":"e_1_3_2_1_9_1","first-page":"33","volume-title":"IEEE","author":"Agarwal N.","year":"2009","unstructured":"N. Agarwal , T. Krishna , L.-S. Peh , and N. K. Jha , \" Garnet: A detailed on-chip network model inside a full-system simulator,\" in 2009 IEEE international symposium on performance analysis of systems and software . IEEE , 2009 , pp. 33 -- 42 . N. Agarwal, T. Krishna, L.-S. Peh, and N. K. Jha, \"Garnet: A detailed on-chip network model inside a full-system simulator,\" in 2009 IEEE international symposium on performance analysis of systems and software. IEEE, 2009, pp. 33--42."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3296957.3173189"},{"key":"e_1_3_2_1_11_1","volume-title":"Distributed kd-trees for retrieval from very large image collections,\" in Proceedings of the British machine vision conference (BMVC)","author":"Aly M.","year":"2011","unstructured":"M. Aly , M. Munich , and P. Perona , \" Distributed kd-trees for retrieval from very large image collections,\" in Proceedings of the British machine vision conference (BMVC) , vol. 17 , 2011 . M. Aly, M. Munich, and P. Perona, \"Distributed kd-trees for retrieval from very large image collections,\" in Proceedings of the British machine vision conference (BMVC), vol. 17, 2011."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/293347.293348"},{"key":"e_1_3_2_1_13_1","first-page":"820","volume-title":"IEEE","author":"Beamer S.","year":"2017","unstructured":"S. Beamer , K. Asanovi\u0107 , and D. Patterson , \" Reducing pagerank communication via propagation blocking,\" in 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS) . IEEE , 2017 , pp. 820 -- 831 . S. Beamer, K. Asanovi\u0107, and D. Patterson, \"Reducing pagerank communication via propagation blocking,\" in 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2017, pp. 820--831."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/361002.361007"},{"key":"e_1_3_2_1_16_1","first-page":"3075","article-title":"4d spatio-temporal convnets: Minkowski convolutional neural networks","author":"Choy C.","year":"2019","unstructured":"C. Choy , J. Gwak , and S. Savarese , \" 4d spatio-temporal convnets: Minkowski convolutional neural networks ,\" in Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition , 2019 , pp. 3075 -- 3084 . C. Choy, J. Gwak, and S. Savarese, \"4d spatio-temporal convnets: Minkowski convolutional neural networks,\" in Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 3075--3084.","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_17_1","first-page":"84","volume-title":"Unsupervised detection of vineyards by 3d point-cloud uav photogrammetry for precision agriculture,\" Computers and electronics in agriculture","author":"Comba L.","year":"2018","unstructured":"L. Comba , A. Biglia , D. R. Aimonino , and P. Gay , \" Unsupervised detection of vineyards by 3d point-cloud uav photogrammetry for precision agriculture,\" Computers and electronics in agriculture , vol. 155 , pp. 84 -- 95 , 2018 . L. Comba, A. Biglia, D. R. Aimonino, and P. Gay, \"Unsupervised detection of vineyards by 3d point-cloud uav photogrammetry for precision agriculture,\" Computers and electronics in agriculture, vol. 155, pp. 84--95, 2018."},{"key":"e_1_3_2_1_18_1","first-page":"1037","volume-title":"IEEE","author":"Feng Y.","year":"2020","unstructured":"Y. Feng , B. Tian , T. Xu , P. Whatmough , and Y. Zhu , \" Mesorasi: Architecture support for point cloud analytics via delayed-aggregation,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO) . IEEE , 2020 , pp. 1037 -- 1050 . Y. Feng, B. Tian, T. Xu, P. Whatmough, and Y. Zhu, \"Mesorasi: Architecture support for point cloud analytics via delayed-aggregation,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). IEEE, 2020, pp. 1037--1050."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"M. Gao J. Pu X. Yang M. Horowitz and C. Kozyrakis \"Tetris: Scalable and efficient neural network acceleration with 3d memory \" in Proceedings of the 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems 2017.  M. Gao J. Pu X. Yang M. Horowitz and C. Kozyrakis \"Tetris: Scalable and efficient neural network acceleration with 3d memory \" in Proceedings of the 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems 2017.","DOI":"10.1145\/3037697.3037702"},{"key":"e_1_3_2_1_20_1","volume-title":"Are we ready for autonomous driving? the kitti vision benchmark suite,\" in Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition","author":"Geiger A.","year":"2012","unstructured":"A. Geiger , P. Lenz , and R. Urtasun , \" Are we ready for autonomous driving? the kitti vision benchmark suite,\" in Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition , 2012 . A. Geiger, P. Lenz, and R. Urtasun, \"Are we ready for autonomous driving? the kitti vision benchmark suite,\" in Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition, 2012."},{"key":"e_1_3_2_1_21_1","first-page":"172","volume-title":"PMLR","author":"Gieseke F.","year":"2014","unstructured":"F. Gieseke , J. Heinermann , C. Oancea , and C. Igel , \" Buffer kd trees: processing massive nearest neighbor queries on gpus,\" in International Conference on Machine Learning . PMLR , 2014 , pp. 172 -- 180 . F. Gieseke, J. Heinermann, C. Oancea, and C. Igel, \"Buffer kd trees: processing massive nearest neighbor queries on gpus,\" in International Conference on Machine Learning. PMLR, 2014, pp. 172--180."},{"key":"e_1_3_2_1_22_1","first-page":"9224","article-title":"Van Der Maaten, \"3d semantic segmentation with submanifold sparse convolutional networks","author":"Graham B.","year":"2018","unstructured":"B. Graham , M. Engelcke , and L . Van Der Maaten, \"3d semantic segmentation with submanifold sparse convolutional networks ,\" in Proceedings of the IEEE conference on computer vision and pattern recognition , 2018 , pp. 9224 -- 9232 . B. Graham, M. Engelcke, and L. Van Der Maaten, \"3d semantic segmentation with submanifold sparse convolutional networks,\" in Proceedings of the IEEE conference on computer vision and pattern recognition, 2018, pp. 9224--9232.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_23_1","first-page":"442","volume-title":"Proceedings. IEEE","author":"Greenspan M.","year":"2003","unstructured":"M. Greenspan and M. Yurick , \" Approximate kd tree search for efficient icp,\" in Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003 . Proceedings. IEEE , 2003 , pp. 442 -- 448 . M. Greenspan and M. Yurick, \"Approximate kd tree search for efficient icp,\" in Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings. IEEE, 2003, pp. 442--448."},{"key":"e_1_3_2_1_24_1","first-page":"401","volume-title":"IEEE","author":"Grot B.","year":"2011","unstructured":"B. Grot , J. Hestness , S. W. Keckler , and O. Mutlu , \" Kilo-noc: a heterogeneous network-on-chip architecture for scalability and service guarantees,\" in 2011 38th Annual International Symposium on Computer Architecture (ISCA) . IEEE , 2011 , pp. 401 -- 412 . B. Grot, J. Hestness, S. W. Keckler, and O. Mutlu, \"Kilo-noc: a heterogeneous network-on-chip architecture for scalability and service guarantees,\" in 2011 38th Annual International Symposium on Computer Architecture (ISCA). IEEE, 2011, pp. 401--412."},{"key":"e_1_3_2_1_25_1","first-page":"75","article-title":"Pcpnet learning local shape properties from raw point clouds,\" in Computer Graphics Forum, vol. 37, no. 2","author":"Guerrero P.","year":"2018","unstructured":"P. Guerrero , Y. Kleiman , M. Ovsjanikov , and N. J. Mitra , \" Pcpnet learning local shape properties from raw point clouds,\" in Computer Graphics Forum, vol. 37, no. 2 . Wiley Online Library , 2018 , pp. 75 -- 85 . P. Guerrero, Y. Kleiman, M. Ovsjanikov, and N. J. Mitra, \"Pcpnet learning local shape properties from raw point clouds,\" in Computer Graphics Forum, vol. 37, no. 2. Wiley Online Library, 2018, pp. 75--85.","journal-title":"Wiley Online Library"},{"key":"e_1_3_2_1_26_1","volume-title":"Deep learning for 3d point clouds: A survey,\" IEEE transactions on pattern analysis and machine intelligence","author":"Guo Y.","year":"2020","unstructured":"Y. Guo , H. Wang , Q. Hu , H. Liu , L. Liu , and M. Bennamoun , \" Deep learning for 3d point clouds: A survey,\" IEEE transactions on pattern analysis and machine intelligence , 2020 . Y. Guo, H. Wang, Q. Hu, H. Liu, L. Liu, and M. Bennamoun, \"Deep learning for 3d point clouds: A survey,\" IEEE transactions on pattern analysis and machine intelligence, 2020."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601174"},{"key":"e_1_3_2_1_28_1","volume-title":"A hardware processing unit for point sets,\" in Acm Siggraph\/eurographics Symposium on Graphics Hardware","author":"Heinzle S.","year":"2008","unstructured":"S. Heinzle , G. Guennebaud , M. Botsch , and M. H. Gross , \" A hardware processing unit for point sets,\" in Acm Siggraph\/eurographics Symposium on Graphics Hardware , 2008 . S. Heinzle, G. Guennebaud, M. Botsch, and M. H. Gross, \"A hardware processing unit for point sets,\" in Acm Siggraph\/eurographics Symposium on Graphics Hardware, 2008."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2021.3099117"},{"key":"e_1_3_2_1_30_1","first-page":"99","article-title":"A parallel sph implementation on multi-core cpus,\" in Computer Graphics Forum, vol. 30, no. 1","author":"Ihmsen M.","year":"2011","unstructured":"M. Ihmsen , N. Akinci , M. Becker , and M. Teschner , \" A parallel sph implementation on multi-core cpus,\" in Computer Graphics Forum, vol. 30, no. 1 . Wiley Online Library , 2011 , pp. 99 -- 112 . M. Ihmsen, N. Akinci, M. Becker, and M. Teschner, \"A parallel sph implementation on multi-core cpus,\" in Computer Graphics Forum, vol. 30, no. 1. Wiley Online Library, 2011, pp. 99--112.","journal-title":"Wiley Online Library"},{"key":"e_1_3_2_1_31_1","volume-title":"In-Datacenter Performance Analysis of a Tensor Processing Unit,\" in Proc. of ISCA","author":"Jouppi N. 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Yoon , \" In-Datacenter Performance Analysis of a Tensor Processing Unit,\" in Proc. of ISCA , 2017 . N. P. Jouppi, C. Young, N. Patil, D. Patterson, G. Agrawal, R. Bajwa, S. Bates, S. Bhatia, N. Boden, A. Borchers, R. Boyle, P. Cantin, C. Chao, C. Clark, J. Coriell, M. Daley, M. Dau, J. Dean, B. Gelb, T. V. Ghaemmaghami, R. Gottipati, W. Gulland, R. Hagmann, R. C. Ho, D. Hogberg, J. Hu, R. Hundt, D. Hurt, J. Ibarz, A. Jaffey, A. Jaworski, A. Kaplan, H. Khaitan, A. Koch, N. Kumar, S. Lacy, J. Laudon, J. Law, D. Le, C. Leary, Z. Liu, K. Lucke, A. Lundin, G. MacKean, A. Maggiore, M. Mahony, K. Miller, R. Nagarajan, R. Narayanaswami, R. Ni, K. Nix, T. Norrie, M. Omernick, N. Penukonda, A. Phelps, J. Ross, A. Salek, E. Samadiani, C. Severn, G. Sizikov, M. Snelham, J. Souter, D. Steinberg, A. Swing, M. Tan, G. Thorson, B. Tian, H. Toma, E. Tuttle, V. Vasudevan, R. Walter, W. Wang, E. Wilcox, and D. H. Yoon, \"In-Datacenter Performance Analysis of a Tensor Processing Unit,\" in Proc. of ISCA, 2017."},{"key":"e_1_3_2_1_32_1","volume-title":"Borchers et al., \"In-datacenter performance analysis of a tensor processing unit,\" in 2017 ACM\/IEEE 44th Annual International Symposium on Computer Architecture","author":"Jouppi N. P.","year":"2017","unstructured":"N. P. Jouppi , C. Young , N. Patil , D. Patterson , G. Agrawal , R. Bajwa , S. Bates , S. Bhatia , N. Boden , A. Borchers et al., \"In-datacenter performance analysis of a tensor processing unit,\" in 2017 ACM\/IEEE 44th Annual International Symposium on Computer Architecture , 2017 . N. P. Jouppi, C. Young, N. Patil, D. Patterson, G. Agrawal, R. Bajwa, S. Bates, S. Bhatia, N. Boden, A. Borchers et al., \"In-datacenter performance analysis of a tensor processing unit,\" in 2017 ACM\/IEEE 44th Annual International Symposium on Computer Architecture, 2017."},{"key":"e_1_3_2_1_33_1","volume-title":"Programming massively parallel processors: a hands-on approach. Morgan kaufmann","author":"Kirk D. B.","year":"2016","unstructured":"D. B. Kirk and W. H. Wen-Mei , Programming massively parallel processors: a hands-on approach. Morgan kaufmann , 2016 . D. B. Kirk and W. H. Wen-Mei, Programming massively parallel processors: a hands-on approach. Morgan kaufmann, 2016."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36812-7_3"},{"key":"e_1_3_2_1_35_1","first-page":"641","volume-title":"Deep continuous fusion for multi-sensor 3d object detection,\" in Proceedings of the European Conference on Computer Vision (ECCV)","author":"Liang M.","year":"2018","unstructured":"M. Liang , B. Yang , S. Wang , and R. Urtasun , \" Deep continuous fusion for multi-sensor 3d object detection,\" in Proceedings of the European Conference on Computer Vision (ECCV) , 2018 , pp. 641 -- 656 . M. Liang, B. Yang, S. Wang, and R. Urtasun, \"Deep continuous fusion for multi-sensor 3d object detection,\" in Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 641--656."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1145\/3466752.3480084","volume-title":"Pointacc: Efficient point cloud accelerator,\" in MICRO-54:  54th Annual IEEE\/ACM International Symposium on Microarchitecture","author":"Lin Y.","year":"2021","unstructured":"Y. Lin , Z. Zhang , H. Tang , H. Wang , and S. Han , \" Pointacc: Efficient point cloud accelerator,\" in MICRO-54: 54th Annual IEEE\/ACM International Symposium on Microarchitecture , 2021 , pp. 449 -- 461 . Y. Lin, Z. Zhang, H. Tang, H. Wang, and S. Han, \"Pointacc: Efficient point cloud accelerator,\" in MICRO-54: 54th Annual IEEE\/ACM International Symposium on Microarchitecture, 2021, pp. 449--461."},{"key":"e_1_3_2_1_37_1","volume-title":"Densepoint: Learning densely contextual representation for efficient point cloud processing,\" in Proceedings of the 14th IEEE International Conference on Computer Vision","author":"Liu Y.","year":"2019","unstructured":"Y. Liu , B. Fan , G. Meng , J. Lu , S. Xiang , and C. Pan , \" Densepoint: Learning densely contextual representation for efficient point cloud processing,\" in Proceedings of the 14th IEEE International Conference on Computer Vision , 2019 . Y. Liu, B. Fan, G. Meng, J. Lu, S. Xiang, and C. Pan, \"Densepoint: Learning densely contextual representation for efficient point cloud processing,\" in Proceedings of the 14th IEEE International Conference on Computer Vision, 2019."},{"key":"e_1_3_2_1_38_1","first-page":"3647","volume-title":"IEEE","author":"Lu Y.","year":"2021","unstructured":"Y. Lu , Y. Zhu , and G. Lu , \" 3d sceneflownet: Self-supervised 3d scene flow estimation based on graph cnn,\" in 2021 IEEE International Conference on Image Processing (ICIP) . IEEE , 2021 , pp. 3647 -- 3651 . Y. Lu, Y. Zhu, and G. Lu, \"3d sceneflownet: Self-supervised 3d scene flow estimation based on graph cnn,\" in 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021, pp. 3647--3651."},{"key":"e_1_3_2_1_39_1","volume-title":"An iterative image registration technique with an application to stereo vision,\" in Proceedings of the 7th International Joint Conference on Artificial Intelligence","author":"Lucas B. D.","year":"1981","unstructured":"B. D. Lucas and T. Kanade , \" An iterative image registration technique with an application to stereo vision,\" in Proceedings of the 7th International Joint Conference on Artificial Intelligence , 1981 . B. D. Lucas and T. Kanade, \"An iterative image registration technique with an application to stereo vision,\" in Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981."},{"key":"e_1_3_2_1_40_1","first-page":"89","volume-title":"Eurographics Association","author":"Ma V. C.","year":"2002","unstructured":"V. C. Ma and M. D. McCool , \" Low latency photon mapping using block hashing,\" in Proceedings of the ACM SIGGRAPH\/EUROGRAPHICS conference on Graphics hardware . Eurographics Association , 2002 , pp. 89 -- 99 . V. C. Ma and M. D. McCool, \"Low latency photon mapping using block hashing,\" in Proceedings of the ACM SIGGRAPH\/EUROGRAPHICS conference on Graphics hardware. Eurographics Association, 2002, pp. 89--99."},{"issue":"5","key":"e_1_3_2_1_41_1","first-page":"6","article-title":"Approximative fast nearest-neighbour recognition","volume":"1","author":"Miclet L.","year":"1983","unstructured":"L. Miclet and M. Dabouz , \" Approximative fast nearest-neighbour recognition ,\" Pattern Recognition Letters , vol. 1 , no. 5 -- 6 , pp. 277--285, 1983 . L. Miclet and M. Dabouz, \"Approximative fast nearest-neighbour recognition,\" Pattern Recognition Letters, vol. 1, no. 5--6, pp. 277--285, 1983.","journal-title":"Pattern Recognition Letters"},{"key":"e_1_3_2_1_42_1","first-page":"50","volume-title":"Doppelg\u00e4nger: a cache for approximate computing,\" in Proceedings of the 48th International Symposium on Microarchitecture","author":"Miguel J. S.","year":"2015","unstructured":"J. S. Miguel , J. Albericio , A. Moshovos , and N. E. Jerger , \" Doppelg\u00e4nger: a cache for approximate computing,\" in Proceedings of the 48th International Symposium on Microarchitecture , 2015 , pp. 50 -- 61 . J. S. Miguel, J. Albericio, A. Moshovos, and N. E. Jerger, \"Doppelg\u00e4nger: a cache for approximate computing,\" in Proceedings of the 48th International Symposium on Microarchitecture, 2015, pp. 50--61."},{"key":"e_1_3_2_1_43_1","first-page":"195","volume-title":"IEEE","author":"Naithani A.","year":"2021","unstructured":"A. Naithani , S. Ainsworth , T. M. Jones , and L. Eeckhout , \" Vector runahead,\" in 2021 ACM\/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) . IEEE , 2021 , pp. 195 -- 208 . A. Naithani, S. Ainsworth, T. M. Jones, and L. Eeckhout, \"Vector runahead,\" in 2021 ACM\/IEEE 48th Annual International Symposium on Computer Architecture (ISCA). IEEE, 2021, pp. 195--208."},{"key":"e_1_3_2_1_44_1","first-page":"180","volume-title":"IEEE","author":"Pinkham R.","year":"2020","unstructured":"R. Pinkham , S. Zeng , and Z. Zhang , \" Quicknn: Memory and performance optimization of kd tree based nearest neighbor search for 3d point clouds,\" in 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA) . IEEE , 2020 , pp. 180 -- 192 . R. Pinkham, S. Zeng, and Z. Zhang, \"Quicknn: Memory and performance optimization of kd tree based nearest neighbor search for 3d point clouds,\" in 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2020, pp. 180--192."},{"key":"e_1_3_2_1_45_1","first-page":"258","volume-title":"ACM","author":"Purcell T. J.","year":"2005","unstructured":"T. J. Purcell , C. Donner , M. Cammarano , H. W. Jensen , and P. Hanrahan , \" Photon mapping on programmable graphics hardware,\" in ACM SIGGRAPH 2005 Courses . ACM , 2005 , p. 258 . T. J. Purcell, C. Donner, M. Cammarano, H. W. Jensen, and P. Hanrahan, \"Photon mapping on programmable graphics hardware,\" in ACM SIGGRAPH 2005 Courses. ACM, 2005, p. 258."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508148.2485925"},{"key":"e_1_3_2_1_47_1","first-page":"918","volume-title":"Frustum pointnets for 3d object detection from rgb-d data,\" in Proceedings of the 31st IEEE Conference on Computer Vision and Pattern Recognition","author":"Qi C. R.","year":"2018","unstructured":"C. R. Qi , W. Liu , C. Wu , H. Su , and L. J. Guibas , \" Frustum pointnets for 3d object detection from rgb-d data,\" in Proceedings of the 31st IEEE Conference on Computer Vision and Pattern Recognition , 2018 , pp. 918 -- 927 . C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas, \"Frustum pointnets for 3d object detection from rgb-d data,\" in Proceedings of the 31st IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 918--927."},{"key":"e_1_3_2_1_48_1","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"Qi C. R.","year":"2017","unstructured":"C. R. Qi , H. Su , K. Mo , and L. J. Guibas , \" Pointnet: Deep learning on point sets for 3d classification and segmentation ,\" in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017 , pp. 652 -- 660 . C. R. Qi, H. Su, K. Mo, and L. J. Guibas, \"Pointnet: Deep learning on point sets for 3d classification and segmentation,\" in Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp. 652--660.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_49_1","first-page":"5099","volume-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space,\" in Advances in neural information processing systems","author":"Qi C. R.","year":"2017","unstructured":"C. R. Qi , L. Yi , H. Su , and L. J. Guibas , \" Pointnet++: Deep hierarchical feature learning on point sets in a metric space,\" in Advances in neural information processing systems , 2017 , pp. 5099 -- 5108 . C. R. Qi, L. Yi, H. Su, and L. J. Guibas, \"Pointnet++: Deep hierarchical feature learning on point sets in a metric space,\" in Advances in neural information processing systems, 2017, pp. 5099--5108."},{"key":"e_1_3_2_1_50_1","volume-title":"Gpu-accelerated nearest neighbor search for 3d registration,\" in Proceedings of the 9th International Conference on Computer Vision Systems","author":"Qiu D.","year":"2009","unstructured":"D. Qiu , S. May , and A. N\u00fcchter , \" Gpu-accelerated nearest neighbor search for 3d registration,\" in Proceedings of the 9th International Conference on Computer Vision Systems , 2009 . D. Qiu, S. May, and A. N\u00fcchter, \"Gpu-accelerated nearest neighbor search for 3d registration,\" in Proceedings of the 9th International Conference on Computer Vision Systems, 2009."},{"key":"e_1_3_2_1_51_1","first-page":"343","volume-title":"IEEE","author":"Rengasamy P. V.","year":"2015","unstructured":"P. V. Rengasamy , A. Sivasubramaniam , M. T. Kandemir , and C. R. Das , \" Exploiting staleness for approximating loads on cmps,\" in 2015 International Conference on Parallel Architecture and Compilation (PACT) . IEEE , 2015 , pp. 343 -- 354 . P. V. Rengasamy, A. Sivasubramaniam, M. T. Kandemir, and C. R. Das, \"Exploiting staleness for approximating loads on cmps,\" in 2015 International Conference on Parallel Architecture and Compilation (PACT). IEEE, 2015, pp. 343--354."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.ROBOT.2008.08.005"},{"key":"e_1_3_2_1_53_1","first-page":"1","volume-title":"IEEE","author":"Miguel J. San","year":"2016","unstructured":"J. San Miguel , J. Albericio , N. E. Jerger , and A. Jaleel , \" The bunker cache for spatio-value approximation,\" in 2016 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO) . IEEE , 2016 , pp. 1 -- 12 . J. San Miguel, J. Albericio, N. E. Jerger, and A. Jaleel, \"The bunker cache for spatio-value approximation,\" in 2016 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). IEEE, 2016, pp. 1--12."},{"key":"e_1_3_2_1_54_1","first-page":"127","volume-title":"IEEE","author":"Miguel J. San","year":"2014","unstructured":"J. San Miguel , M. Badr , and N. E. Jerger , \" Load value approximation,\" in 2014 47th Annual IEEE\/ACM International Symposium on Microarchitecture . IEEE , 2014 , pp. 127 -- 139 . J. San Miguel, M. Badr, and N. E. Jerger, \"Load value approximation,\" in 2014 47th Annual IEEE\/ACM International Symposium on Microarchitecture. IEEE, 2014, pp. 127--139."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2010.148"},{"key":"e_1_3_2_1_56_1","first-page":"31","volume-title":"ACM","author":"Stets J. D.","year":"2017","unstructured":"J. D. Stets , Y. Sun , W. Corning , and S. W. Greenwald , \" Visualization and labeling of point clouds in virtual reality,\" in SIGGRAPH Asia 2017 Posters . ACM , 2017 , p. 31 . J. D. Stets, Y. Sun, W. Corning, and S. W. Greenwald, \"Visualization and labeling of point clouds in virtual reality,\" in SIGGRAPH Asia 2017 Posters. ACM, 2017, p. 31."},{"key":"e_1_3_2_1_57_1","first-page":"654","article-title":"Prodigy: Improving the memory latency of data-indirect irregular workloads using hardware-software co-design,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)","author":"Talati N.","year":"2021","unstructured":"N. Talati , K. May , A. Behroozi , Y. Yang , K. Kaszyk , C. Vasiladiotis , T. Verma , L. Li , B. Nguyen , J. Sun et al ., \" Prodigy: Improving the memory latency of data-indirect irregular workloads using hardware-software co-design,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) . IEEE , 2021 , pp. 654 -- 667 . N. Talati, K. May, A. Behroozi, Y. Yang, K. Kaszyk, C. Vasiladiotis, T. Verma, L. Li, B. Nguyen, J. Sun et al., \"Prodigy: Improving the memory latency of data-indirect irregular workloads using hardware-software co-design,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA). IEEE, 2021, pp. 654--667.","journal-title":"IEEE"},{"key":"e_1_3_2_1_58_1","volume-title":"Dijkman et al., \"3d building model reconstruction from point clouds and ground plans,\" International archives of photogrammetry remote sensing and spatial information sciences","author":"Vosselman G.","unstructured":"G. Vosselman , S. Dijkman et al., \"3d building model reconstruction from point clouds and ground plans,\" International archives of photogrammetry remote sensing and spatial information sciences , vol. 34 , no. 3\/W4, pp. 37--44, 2001. G. Vosselman, S. Dijkman et al., \"3d building model reconstruction from point clouds and ground plans,\" International archives of photogrammetry remote sensing and spatial information sciences, vol. 34, no. 3\/W4, pp. 37--44, 2001."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"e_1_3_2_1_60_1","volume-title":"Pearson Education India","author":"Weste N. H.","year":"2015","unstructured":"N. H. Weste and D. Harris , CMOS VLSI design: a circuits and systems perspective . Pearson Education India , 2015 . N. H. Weste and D. Harris, CMOS VLSI design: a circuits and systems perspective. Pearson Education India, 2015."},{"key":"e_1_3_2_1_61_1","volume-title":"Fixynn: Efficient hardware for mobile computer vision via transfer learning,\" arXiv preprint arXiv:1902.11128","author":"Whatmough P. N.","year":"2019","unstructured":"P. N. Whatmough , C. Zhou , P. Hansen , S. K. Venkataramanaiah , J.-s. Seo , and M. Mattina , \" Fixynn: Efficient hardware for mobile computer vision via transfer learning,\" arXiv preprint arXiv:1902.11128 , 2019 . P. N. Whatmough, C. Zhou, P. Hansen, S. K. Venkataramanaiah, J.-s. Seo, and M. Mattina, \"Fixynn: Efficient hardware for mobile computer vision via transfer learning,\" arXiv preprint arXiv:1902.11128, 2019."},{"key":"e_1_3_2_1_62_1","volume-title":"Autonomous navigation using a real-time 3d point cloud,\" in 2010 Australasian Conference on Robotics and Automation","author":"Whitty M.","year":"2010","unstructured":"M. Whitty , S. Cossell , K. S. Dang , J. Guivant , and J. Katupitiya , \" Autonomous navigation using a real-time 3d point cloud,\" in 2010 Australasian Conference on Robotics and Automation , 2010 . M. Whitty, S. Cossell, K. S. Dang, J. Guivant, and J. Katupitiya, \"Autonomous navigation using a real-time 3d point cloud,\" in 2010 Australasian Conference on Robotics and Automation, 2010."},{"key":"e_1_3_2_1_63_1","volume-title":"Fpga-based k-means clustering using tree-based data structures,\" in International Conference on Field Programmable Logic & Applications","author":"Winterstein F.","year":"2013","unstructured":"F. Winterstein , S. Bayliss , and G. A. Constantinides , \" Fpga-based k-means clustering using tree-based data structures,\" in International Conference on Field Programmable Logic & Applications , 2013 . F. Winterstein, S. Bayliss, and G. A. Constantinides, \"Fpga-based k-means clustering using tree-based data structures,\" in International Conference on Field Programmable Logic & Applications, 2013."},{"key":"e_1_3_2_1_64_1","first-page":"176","volume-title":"IEEE","author":"Wong D.","year":"2016","unstructured":"D. Wong , N. S. Kim , and M. Annavaram , \" Approximating warps with intra-warp operand value similarity,\" in 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA) . IEEE , 2016 , pp. 176 -- 187 . D. Wong, N. S. Kim, and M. Annavaram, \"Approximating warps with intra-warp operand value similarity,\" in 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2016, pp. 176--187."},{"key":"e_1_3_2_1_65_1","volume-title":"3d shapenets: A deep representation for volumetric shapes,\" in Proceedings of the 28th IEEE conference on computer vision and pattern recognition","author":"Wu Z.","year":"2015","unstructured":"Z. Wu , S. Song , A. Khosla , F. Yu , L. Zhang , X. Tang , and J. Xiao , \" 3d shapenets: A deep representation for volumetric shapes,\" in Proceedings of the 28th IEEE conference on computer vision and pattern recognition , 2015 . Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao, \"3d shapenets: A deep representation for volumetric shapes,\" in Proceedings of the 28th IEEE conference on computer vision and pattern recognition, 2015."},{"key":"e_1_3_2_1_66_1","first-page":"629","volume-title":"Tigris: Architecture and algorithms for 3d perception in point clouds,\" in Proceedings of the 52nd Annual IEEE\/ACM International Symposium on Microarchitecture","author":"Xu T.","year":"2019","unstructured":"T. Xu , B. Tian , and Y. Zhu , \" Tigris: Architecture and algorithms for 3d perception in point clouds,\" in Proceedings of the 52nd Annual IEEE\/ACM International Symposium on Microarchitecture , 2019 , pp. 629 -- 642 . T. Xu, B. Tian, and Y. Zhu, \"Tigris: Architecture and algorithms for 3d perception in point clouds,\" in Proceedings of the 52nd Annual IEEE\/ACM International Symposium on Microarchitecture, 2019, pp. 629--642."},{"key":"e_1_3_2_1_67_1","volume-title":"Ganax: A unified mimd-simd acceleration for generative adversarial networks,\" in Proceedings of the 45th ACM\/IEEE Annual International Symposium on Computer Architecture","author":"Yazdanbakhsh A.","year":"2018","unstructured":"A. Yazdanbakhsh , K. Samadi , N. S. Kim , and H. Esmaeilzadeh , \" Ganax: A unified mimd-simd acceleration for generative adversarial networks,\" in Proceedings of the 45th ACM\/IEEE Annual International Symposium on Computer Architecture , 2018 . A. Yazdanbakhsh, K. Samadi, N. S. Kim, and H. Esmaeilzadeh, \"Ganax: A unified mimd-simd acceleration for generative adversarial networks,\" in Proceedings of the 45th ACM\/IEEE Annual International Symposium on Computer Architecture, 2018."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356513"},{"key":"e_1_3_2_1_69_1","first-page":"1078","volume-title":"Point-x: A spatial-locality-aware architecture for energy-efficient graph-based point-cloud deep learning,\" in MICRO-54:  54th Annual IEEE\/ACM International Symposium on Microarchitecture","author":"Zhang J.-F.","year":"2021","unstructured":"J.-F. Zhang and Z. Zhang , \" Point-x: A spatial-locality-aware architecture for energy-efficient graph-based point-cloud deep learning,\" in MICRO-54: 54th Annual IEEE\/ACM International Symposium on Microarchitecture , 2021 , pp. 1078 -- 1090 . J.-F. Zhang and Z. Zhang, \"Point-x: A spatial-locality-aware architecture for energy-efficient graph-based point-cloud deep learning,\" in MICRO-54: 54th Annual IEEE\/ACM International Symposium on Microarchitecture, 2021, pp. 1078--1090."},{"key":"e_1_3_2_1_70_1","volume-title":"Linked dynamic graph cnn: Learning on point cloud via linking hierarchical features,\" arXiv preprint arXiv:1904.10014","author":"Zhang K.","year":"2019","unstructured":"K. Zhang , M. Hao , J. Wang , C. W. de Silva , and C. Fu , \" Linked dynamic graph cnn: Learning on point cloud via linking hierarchical features,\" arXiv preprint arXiv:1904.10014 , 2019 . K. Zhang, M. Hao, J. Wang, C. W. de Silva, and C. Fu, \"Linked dynamic graph cnn: Learning on point cloud via linking hierarchical features,\" arXiv preprint arXiv:1904.10014, 2019."},{"key":"e_1_3_2_1_71_1","first-page":"214","volume-title":"IEEE","author":"Zhou Y.","year":"2021","unstructured":"Y. Zhou , M. Yang , C. Guo , J. Leng , Y. Liang , Q. Chen , M. Guo , and Y. Zhu , \" Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators,\" in 2021 IEEE International Symposium on Workload Characterization (IISWC) . IEEE , 2021 , pp. 214 -- 225 . Y. Zhou, M. Yang, C. Guo, J. Leng, Y. Liang, Q. Chen, M. Guo, and Y. Zhu, \"Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators,\" in 2021 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 2021, pp. 214--225."},{"key":"e_1_3_2_1_72_1","first-page":"3357","volume-title":"IEEE","author":"Zhu Y.","year":"2017","unstructured":"Y. Zhu , R. Mottaghi , E. Kolve , J. J. Lim , A. Gupta , L. Fei-Fei , and A. Farhadi , \" Target-driven visual navigation in indoor scenes using deep reinforcement learning,\" in 2017 IEEE international conference on robotics and automation (ICRA) . IEEE , 2017 , pp. 3357 -- 3364 . Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi, \"Target-driven visual navigation in indoor scenes using deep reinforcement learning,\" in 2017 IEEE international conference on robotics and automation (ICRA). IEEE, 2017, pp. 3357--3364."}],"event":{"name":"ISCA '22: The 49th Annual International Symposium on Computer Architecture","location":"New York New York","acronym":"ISCA '22","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","IEEE CS TCAA IEEE CS technical committee on architectural acoustics"]},"container-title":["Proceedings of the 49th Annual International Symposium on Computer Architecture"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470496.3527395","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470496.3527395","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470496.3527395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:28Z","timestamp":1750188628000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470496.3527395"}},"subtitle":["taming memory irregularities for accelerating deep point cloud analytics"],"short-title":[],"issued":{"date-parts":[[2022,6,11]]},"references-count":71,"alternative-id":["10.1145\/3470496.3527395","10.1145\/3470496"],"URL":"https:\/\/doi.org\/10.1145\/3470496.3527395","relation":{},"subject":[],"published":{"date-parts":[[2022,6,11]]},"assertion":[{"value":"2022-06-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}