{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T17:09:51Z","timestamp":1773248991275,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":60,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,17]],"date-time":"2023-06-17T00:00:00Z","timestamp":1686960000000},"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":[[2023,6,17]]},"DOI":"10.1145\/3579371.3589056","type":"proceedings-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T20:25:28Z","timestamp":1686947128000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":42,"title":["NeuRex: A Case for Neural Rendering Acceleration"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4953-1383","authenticated-orcid":false,"given":"Junseo","family":"Lee","sequence":"first","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1570-4463","authenticated-orcid":false,"given":"Kwanseok","family":"Choi","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5629-6258","authenticated-orcid":false,"given":"Jungi","family":"Lee","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9028-1312","authenticated-orcid":false,"given":"Seokwon","family":"Lee","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7570-6733","authenticated-orcid":false,"given":"Joonho","family":"Whangbo","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0403-9928","authenticated-orcid":false,"given":"Jaewoong","family":"Sim","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}]}],"member":"320","published-online":{"date-parts":[[2023,6,17]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"1994. The Stanford 3D Scanning Repository. https:\/\/graphics.stanford.edu\/data\/3Dscanrep\/  1994. The Stanford 3D Scanning Repository. https:\/\/graphics.stanford.edu\/data\/3Dscanrep\/"},{"key":"e_1_3_2_1_2_1","volume-title":"Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).","author":"Albericio Jorge","year":"2016","unstructured":"Jorge Albericio , Patrick Judd , Tayler Hetherington , Tor Aamodt , Natalie Enright Jerger , and Andreas Moshovos . 2016 . Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA). Jorge Albericio, Patrick Judd, Tayler Hetherington, Tor Aamodt, Natalie Enright Jerger, and Andreas Moshovos. 2016. Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)."},{"key":"e_1_3_2_1_3_1","volume-title":"Fused-Layer CNN Accelerators. In 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO).","author":"Alwani Manoj","year":"2016","unstructured":"Manoj Alwani , Han Chen , Michael Ferdman , and Peter Milder . 2016 . Fused-Layer CNN Accelerators. In 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). Manoj Alwani, Han Chen, Michael Ferdman, and Peter Milder. 2016. Fused-Layer CNN Accelerators. In 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)."},{"key":"e_1_3_2_1_4_1","unstructured":"JEDEC Solid State Technology Association. 2014. JEDEC Standard JESD209-4: Low Power Double Data Rate 4 (LPDDR4). JEDEC Virginia USA.  JEDEC Solid State Technology Association. 2014. JEDEC Standard JESD209-4: Low Power Double Data Rate 4 (LPDDR4). JEDEC Virginia USA."},{"key":"e_1_3_2_1_5_1","unstructured":"JEDEC Solid State Technology Association. 2015. JEDEC Standard JESD235A: High Bandwidth Memory (HBM) DRAM. JEDEC Virginia USA.  JEDEC Solid State Technology Association. 2015. JEDEC Standard JESD235A: High Bandwidth Memory (HBM) DRAM. JEDEC Virginia USA."},{"key":"e_1_3_2_1_6_1","volume-title":"Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In IEEE\/CVF International Conference on Computer Vision (ICCV).","author":"Barron Jonathan T.","unstructured":"Jonathan T. Barron , Ben Mildenhall , Matthew Tancik , Peter Hedman , Ricardo Martin-Brualla , and Pratul P. Srinivasan . 2021 . Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In IEEE\/CVF International Conference on Computer Vision (ICCV). Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. 2021. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In IEEE\/CVF International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_1_7_1","volume-title":"Language Models Are Few-Shot Learners. In Conference on Neural Information Processing Systems (NeurIPS).","author":"Brown Tom B.","year":"2020","unstructured":"Tom B. Brown , Benjamin Mann , Nick Ryder , Melanie Subbiah , Jared Kaplan , Prafulla Dhariwal , Arvind Neelakantan , Pranav Shyam , Girish Sastry , Amanda Askell , Sandhini Agarwal , Ariel Herbert-Voss , Gretchen Krueger , Tom Henighan , Rewon Child , Aditya Ramesh , Daniel M. Ziegler , Jeffrey Wu , Clemens Winter , Christopher Hesse , Mark Chen , Eric Sigler , Mateusz Litwin , Scott Gray , Benjamin Chess , Jack Clark , Christopher Berner , Sam McCandlish , Alec Radford , Ilya Sutskever , and Dario Amodei . 2020 . Language Models Are Few-Shot Learners. In Conference on Neural Information Processing Systems (NeurIPS). Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models Are Few-Shot Learners. In Conference on Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2020.2971677"},{"key":"e_1_3_2_1_9_1","unstructured":"Karthik Chandrasekar Christian Weis Yonghui Li Sven Goossens Matthias Jung Omar Naji Benny Akesson Norbert Wehn and Kees Goossens. 2012. DRAMPower: Open-source DRAM power & Energy Estimation Tool. http:\/\/www.drampower.info  Karthik Chandrasekar Christian Weis Yonghui Li Sven Goossens Matthias Jung Omar Naji Benny Akesson Norbert Wehn and Kees Goossens. 2012. DRAMPower: Open-source DRAM power & Energy Estimation Tool. http:\/\/www.drampower.info"},{"key":"e_1_3_2_1_10_1","volume-title":"TensoRF: Tensorial Radiance Fields. In European Conference on Computer Vision (ECCV).","author":"Chen Anpei","year":"2022","unstructured":"Anpei Chen , Zexiang Xu , Andreas Geiger , Jingyi Yu , and Hao Su . 2022 . TensoRF: Tensorial Radiance Fields. In European Conference on Computer Vision (ECCV). Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su. 2022. TensoRF: Tensorial Radiance Fields. In European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_1_11_1","volume-title":"Learning Continuous Image Representation with Local Implicit Image Function. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Chen Yinbo","year":"2021","unstructured":"Yinbo Chen , Sifei Liu , and Xiaolong Wang . 2021 . Learning Continuous Image Representation with Local Implicit Image Function. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Yinbo Chen, Sifei Liu, and Xiaolong Wang. 2021. Learning Continuous Image Representation with Local Implicit Image Function. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_12_1","volume-title":"DaDianNao: A Machine-Learning Supercomputer. In 47th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO).","author":"Chen Yunji","year":"2014","unstructured":"Yunji Chen , Tao Luo , Shaoli Liu , Shijin Zhang , Liqiang He , Jia Wang , Ling Li , Tianshi Chen , Zhiwei Xu , Ninghui Sun , and Olivier Temam . 2014 . DaDianNao: A Machine-Learning Supercomputer. In 47th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, and Olivier Temam. 2014. DaDianNao: A Machine-Learning Supercomputer. In 47th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)."},{"key":"e_1_3_2_1_13_1","volume-title":"Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).","author":"Chen Yu-Hsin","year":"2016","unstructured":"Yu-Hsin Chen , Joel Emer , and Vivienne Sze . 2016 . Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA). Yu-Hsin Chen, Joel Emer, and Vivienne Sze. 2016. Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)."},{"key":"e_1_3_2_1_14_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Conference of the North American","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)."},{"key":"e_1_3_2_1_15_1","volume-title":"53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO).","author":"Feng Yu","year":"2020","unstructured":"Yu Feng , Boyuan Tian , Tiancheng Xu , Paul Whatmough , and Yuhao Zhu . 2020 . Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation . In 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). Yu Feng, Boyuan Tian, Tiancheng Xu, Paul Whatmough, and Yuhao Zhu. 2020. Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation. In 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00012"},{"key":"e_1_3_2_1_17_1","volume-title":"Plenoxels: Radiance Fields Without Neural Networks. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Fridovich-Keil Sara","year":"2022","unstructured":"Sara Fridovich-Keil , Alex Yu , Matthew Tancik , Qinhong Chen , Benjamin Recht , and Angjoo Kanazawa . 2022 . Plenoxels: Radiance Fields Without Neural Networks. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa. 2022. Plenoxels: Radiance Fields Without Neural Networks. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_18_1","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV).","author":"Garbin Stephan J.","unstructured":"Stephan J. Garbin , Marek Kowalski , Matthew Johnson , Jamie Shotton , and Julien P. C. Valentin . 2021. FastNeRF: High-Fidelity Neural Rendering at 200FPS . In IEEE\/CVF International Conference on Computer Vision (ICCV). Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien P. C. Valentin. 2021. FastNeRF: High-Fidelity Neural Rendering at 200FPS. In IEEE\/CVF International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_1_19_1","volume-title":"SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks. In 52nd Annual IEEE\/ACM International Symposium on Microarchitecture (MIRCO).","author":"Gondimalla Ashish","unstructured":"Ashish Gondimalla , Noah Chesnut , Mithuna Thottethodi , and T. N. Vijaykumar . 2019 . SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks. In 52nd Annual IEEE\/ACM International Symposium on Microarchitecture (MIRCO). Ashish Gondimalla, Noah Chesnut, Mithuna Thottethodi, and T. N. Vijaykumar. 2019. SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks. In 52nd Annual IEEE\/ACM International Symposium on Microarchitecture (MIRCO)."},{"key":"e_1_3_2_1_20_1","volume-title":"Lightweight Self-Attention Mechanism in Neural Networks. In ACM\/IEEE 48th Annual International Symposium on Computer Architecture (ISCA).","author":"Ham Tae Jun","unstructured":"Tae Jun Ham , Yejin Lee , Seong Hoon Seo , Soosung Kim , Hyunji Choi , Sung Jun Jung , and Jae W. Lee . 2021. ELSA: Hardware-Software Co-Design for Efficient , Lightweight Self-Attention Mechanism in Neural Networks. In ACM\/IEEE 48th Annual International Symposium on Computer Architecture (ISCA). Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, and Jae W. Lee. 2021. ELSA: Hardware-Software Co-Design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks. In ACM\/IEEE 48th Annual International Symposium on Computer Architecture (ISCA)."},{"key":"e_1_3_2_1_21_1","volume":"201","author":"Han Song","unstructured":"Song Han , Xingyu Liu , Huizi Mao , Jing Pu , Ardavan Pedram , Mark A. Horowitz , and William J. Dally. 201 6. EIE: Efficient Inference Engine on Compressed Deep Neural Network. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA). Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, and William J. Dally. 2016. EIE: Efficient Inference Engine on Compressed Deep Neural Network. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).","journal-title":"William J. Dally."},{"key":"e_1_3_2_1_22_1","volume":"201","author":"Han Song","unstructured":"Song Han , Jeff Pool , John Tran , and William J. Dally. 201 5. Learning Both Weights and Connections for Efficient Neural Networks. In Conference on Neural Information Processing Systems (NeurIPS). Song Han, Jeff Pool, John Tran, and William J. Dally. 2015. Learning Both Weights and Connections for Efficient Neural Networks. In Conference on Neural Information Processing Systems (NeurIPS).","journal-title":"William J. Dally."},{"key":"e_1_3_2_1_23_1","volume-title":"Baking Neural Radiance Fields for Real-Time View Synthesis. In IEEE\/CVF International Conference on Computer Vision (ICCV).","author":"Hedman Peter","year":"2021","unstructured":"Peter Hedman , Pratul P. Srinivasan , Ben Mildenhall , Jonathan T. Barron , and Paul Debevec . 2021 . Baking Neural Radiance Fields for Real-Time View Synthesis. In IEEE\/CVF International Conference on Computer Vision (ICCV). Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul Debevec. 2021. Baking Neural Radiance Fields for Real-Time View Synthesis. In IEEE\/CVF International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"e_1_3_2_1_25_1","volume-title":"ACM\/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).","author":"Ke Liu","year":"2020","unstructured":"Liu Ke , Udit Gupta , Benjamin Youngjae Cho , David Brooks , Vikas Chandra , Utku Diril , Amin Firoozshahian , Kim Hazelwood , Bill Jia , Hsien-Hsin S. Lee , Meng Li , Bert Maher , Dheevatsa Mudigere , Maxim Naumov , Martin Schatz , Mikhail Smelyanskiy , Xiaodong Wang , Brandon Reagen , Carole-Jean Wu , Mark Hempstead , and Xuan Zhang . 2020 . RecNMP: Accelerating Personalized Recommendation with near-Memory Processing . In ACM\/IEEE 47th Annual International Symposium on Computer Architecture (ISCA). Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, and Xuan Zhang. 2020. RecNMP: Accelerating Personalized Recommendation with near-Memory Processing. In ACM\/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)."},{"key":"e_1_3_2_1_26_1","volume-title":"Ramulator: A Fast and Extensible DRAM Simulator","author":"Kim Yoongu","year":"2016","unstructured":"Yoongu Kim , Weikun Yang , and Onur Mutlu . 2016 . Ramulator: A Fast and Extensible DRAM Simulator . IEEE Computer Architecture Letters (CAL) ( 2016). Yoongu Kim, Weikun Yang, and Onur Mutlu. 2016. Ramulator: A Fast and Extensible DRAM Simulator. IEEE Computer Architecture Letters (CAL) (2016)."},{"key":"e_1_3_2_1_27_1","volume-title":"Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction. ACM Transactions on Graphics (SIGGRAPH)","author":"Knapitsch Arno","year":"2017","unstructured":"Arno Knapitsch , Jaesik Park , Qian-Yi Zhou , and Vladlen Koltun . 2017. Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction. ACM Transactions on Graphics (SIGGRAPH) ( 2017 ). Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun. 2017. Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction. ACM Transactions on Graphics (SIGGRAPH) (2017)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358284"},{"key":"e_1_3_2_1_29_1","volume-title":"Intersection Prediction for Accelerated GPU Ray Tracing. In 54th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO).","author":"Liu Lufei","unstructured":"Lufei Liu , Wesley Chang , Francois Demoullin , Yuan Hsi Chou , Mohammadreza Saed , David Pankratz , Tyler Nowicki , and Tor M. Aamodt . 2021 . Intersection Prediction for Accelerated GPU Ray Tracing. In 54th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). Lufei Liu, Wesley Chang, Francois Demoullin, Yuan Hsi Chou, Mohammadreza Saed, David Pankratz, Tyler Nowicki, and Tor M. Aamodt. 2021. Intersection Prediction for Accelerated GPU Ray Tracing. In 54th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)."},{"key":"e_1_3_2_1_30_1","volume-title":"Neural Sparse Voxel Fields. In Conference on Neural Information Processing Systems (NeurIPS).","author":"Liu Lingjie","year":"2020","unstructured":"Lingjie Liu , Jiatao Gu , Kyaw Zaw Lin , Tat-Seng Chua , and Christian Theobalt . 2020 . Neural Sparse Voxel Fields. In Conference on Neural Information Processing Systems (NeurIPS). Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt. 2020. Neural Sparse Voxel Fields. In Conference on Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3124532"},{"key":"e_1_3_2_1_32_1","volume-title":"ACORN: Adaptive Coordinate Networks for Neural Scene Representation. ACM Transactions on Graphics (SIGGRAPH)","author":"Martel Julien N. P.","year":"2021","unstructured":"Julien N. P. Martel , David B. Lindell , Connor Z. Lin , Eric R. Chan , Marco Monteiro , and Gordon Wetzstein . 2021 . ACORN: Adaptive Coordinate Networks for Neural Scene Representation. ACM Transactions on Graphics (SIGGRAPH) (2021). Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, and Gordon Wetzstein. 2021. ACORN: Adaptive Coordinate Networks for Neural Scene Representation. ACM Transactions on Graphics (SIGGRAPH) (2021)."},{"key":"e_1_3_2_1_33_1","volume-title":"Image Super-Resolution With Non-Local Sparse Attention. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Mei Yiqun","year":"2021","unstructured":"Yiqun Mei , Yuchen Fan , and Yuqian Zhou . 2021 . Image Super-Resolution With Non-Local Sparse Attention. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Yiqun Mei, Yuchen Fan, and Yuqian Zhou. 2021. Image Super-Resolution With Non-Local Sparse Attention. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_34_1","volume-title":"Micron Technology","author":"Automotive","unstructured":"Micron. 2016. Automotive LPDDR4\/LPDDR4X SDRAM. Micron Technology , Inc , Boise, USA. Micron. 2016. Automotive LPDDR4\/LPDDR4X SDRAM. Micron Technology, Inc, Boise, USA."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV).","author":"Mildenhall Ben","year":"2020","unstructured":"Ben Mildenhall , Pratul P. Srinivasan , Matthew Tancik , Jonathan T. Barron , Ravi Ramamoorthi , and Ren Ng . 2020 . NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis . In Proceedings of the European Conference on Computer Vision (ECCV). Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In Proceedings of the European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_1_36_1","volume-title":"ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA).","author":"Moss Duncan J.M","unstructured":"Duncan J.M Moss , Srivatsan Krishnan , Eriko Nurvitadhi , Piotr Ratuszniak , Chris Johnson , Jaewoong Sim , Asit Mishra , Debbie Marr , Suchit Subhaschandra , and Philip H.W. Leong . 2018. A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study . In ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA). Duncan J.M Moss, Srivatsan Krishnan, Eriko Nurvitadhi, Piotr Ratuszniak, Chris Johnson, Jaewoong Sim, Asit Mishra, Debbie Marr, Suchit Subhaschandra, and Philip H.W. Leong. 2018. A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. In ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)."},{"key":"e_1_3_2_1_37_1","volume-title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. ACM Transactions on Graphics (SIGGRAPH)","author":"M\u00fcller Thomas","year":"2022","unstructured":"Thomas M\u00fcller , Alex Evans , Christoph Schied , and Alexander Keller . 2022. Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. ACM Transactions on Graphics (SIGGRAPH) ( 2022 ). Thomas M\u00fcller, Alex Evans, Christoph Schied, and Alexander Keller. 2022. Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. ACM Transactions on Graphics (SIGGRAPH) (2022)."},{"key":"e_1_3_2_1_38_1","volume-title":"DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks. Computer Graphics Forum (EGSR)","author":"Neff Thomas","year":"2021","unstructured":"Thomas Neff , Pascal Stadlbauer , Mathias Parger , Andreas Kurz , Joerg H. Mueller , Chakravarty R. Alla Chaitanya , Anton S. Kaplanyan , and Markus Steinberger . 2021. DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks. Computer Graphics Forum (EGSR) ( 2021 ). Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H. Mueller, Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, and Markus Steinberger. 2021. DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks. Computer Graphics Forum (EGSR) (2021)."},{"key":"e_1_3_2_1_39_1","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Niemeyer Michael","year":"2020","unstructured":"Michael Niemeyer , Lars Mescheder , Michael Oechsle , and Andreas Geiger . 2020 . Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision . In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. 2020. Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_40_1","volume-title":"International Conference on Field-Programmable Technology (FPT).","author":"Nurvitadhi Eriko","year":"2016","unstructured":"Eriko Nurvitadhi , David Sheffield , Jaewoong Sim , Asit Mishra , Ganesh Venkatesh , and Debbie Marr . 2016 . Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC . In International Conference on Field-Programmable Technology (FPT). Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit Mishra, Ganesh Venkatesh, and Debbie Marr. 2016. Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. In International Conference on Field-Programmable Technology (FPT)."},{"key":"e_1_3_2_1_41_1","volume-title":"ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA).","author":"Nurvitadhi Eriko","year":"2017","unstructured":"Eriko Nurvitadhi , Ganesh Venkatesh , Jaewoong Sim , Debbie Marr , Randy Huang , Jason Ong Gee Hock , Yeong Tat Liew , Krishnan Srivatsan , Duncan Moss , Suchit Subhaschandra , and Guy Boudoukh . 2017 . Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? . In ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA). Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan Moss, Suchit Subhaschandra, and Guy Boudoukh. 2017. Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?. In ACM\/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)."},{"key":"e_1_3_2_1_42_1","unstructured":"NVIDIA. 2018. NVIDIA Xavier System-on-Chip HotChips 30.  NVIDIA. 2018. NVIDIA Xavier System-on-Chip HotChips 30."},{"key":"e_1_3_2_1_43_1","volume-title":"Retrieved","author":"NVIDIA.","year":"2020","unstructured":"NVIDIA. 2020 . GeForce RTX 3070 Family . Retrieved April 10, 2023 from https:\/\/www.nvidia.com\/en-us\/geforce\/graphics-cards\/30-series\/rtx-3070-3070ti\/ NVIDIA. 2020. GeForce RTX 3070 Family. Retrieved April 10, 2023 from https:\/\/www.nvidia.com\/en-us\/geforce\/graphics-cards\/30-series\/rtx-3070-3070ti\/"},{"key":"e_1_3_2_1_44_1","volume":"201","author":"O'Connor Mike","unstructured":"Mike O'Connor , Niladrish Chatterjee , Donghyuk Lee , John Wilson , Aditya Agrawal , Stephen W. Keckler , and William J. Dally. 201 7. Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems. In 50th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John Wilson, Aditya Agrawal, Stephen W. Keckler, and William J. Dally. 2017. Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems. In 50th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO).","journal-title":"William J. Dally."},{"key":"e_1_3_2_1_45_1","volume":"201","author":"Parashar Angshuman","unstructured":"Angshuman Parashar , Minsoo Rhu , Anurag Mukkara , Antonio Puglielli , Rangharajan Venkatesan , Brucek Khailany , Joel Emer , Stephen W. Keckler , and William J. Dally. 201 7. SCNN: An accelerator for compressed-sparse convolutional neural networks. In ACM\/IEEE 44th Annual International Symposium on Computer Architecture (ISCA). Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen W. Keckler, and William J. Dally. 2017. SCNN: An accelerator for compressed-sparse convolutional neural networks. In ACM\/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).","journal-title":"William J. Dally."},{"key":"e_1_3_2_1_46_1","volume-title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Park Jeong Joon","year":"2019","unstructured":"Jeong Joon Park , Peter Florence , Julian Straub , Richard Newcombe , and Steven Lovegrove . 2019 . DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove. 2019. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_47_1","volume-title":"Highly-Accurate Deep Neural Network Accelerators. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA).","author":"Reagen Brandon","year":"2016","unstructured":"Brandon Reagen , Paul Whatmough , Robert Adolf , Saketh Rama , Hyunkwang Lee , Sae Kyu Lee , Jos\u00e9 Miguel Hern\u00e1ndez-Lobato , Gu-Yeon Wei , and David Brooks . 2016 . Minerva: Enabling Low-Power , Highly-Accurate Deep Neural Network Accelerators. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA). Brandon Reagen, Paul Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Gu-Yeon Wei, and David Brooks. 2016. Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators. In ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)."},{"key":"e_1_3_2_1_48_1","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV).","author":"Reiser C.","unstructured":"C. Reiser , S. Peng , Y. Liao , and A. Geiger . 2021. KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs . In IEEE\/CVF International Conference on Computer Vision (ICCV). C. Reiser, S. Peng, Y. Liao, and A. Geiger. 2021. KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. In IEEE\/CVF International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_1_49_1","volume-title":"Multi-Level Ray Tracing Algorithm. ACM Transactions on Graphics (SIGGRAPH)","author":"Reshetov Alexander","year":"2005","unstructured":"Alexander Reshetov , Alexei Soupikov , and Jim Hurley . 2005. Multi-Level Ray Tracing Algorithm. ACM Transactions on Graphics (SIGGRAPH) ( 2005 ). Alexander Reshetov, Alexei Soupikov, and Jim Hurley. 2005. Multi-Level Ray Tracing Algorithm. ACM Transactions on Graphics (SIGGRAPH) (2005)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480070"},{"key":"e_1_3_2_1_51_1","volume-title":"Conference on Neural Information Processing Systems (NeurIPS).","author":"Sitzmann Vincent","year":"2019","unstructured":"Vincent Sitzmann , Michael Zollhoefer , and Gordon Wetzstein . 2019 . Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations . In Conference on Neural Information Processing Systems (NeurIPS). Vincent Sitzmann, Michael Zollhoefer, and Gordon Wetzstein. 2019. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In Conference on Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_52_1","volume-title":"Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Sun Cheng","year":"2022","unstructured":"Cheng Sun , Min Sun , and Hwann-Tzong Chen . 2022 . Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2022. Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_53_1","volume-title":"Retrieved","year":"2023","unstructured":"Synopsys. 2023 . Design Compiler - Synopsys . Retrieved April 10, 2023 from https:\/\/www.synopsys.com\/implementation-and-signoff\/rtl-synthesis-test\/dc-ultra.html Synopsys. 2023. Design Compiler - Synopsys. Retrieved April 10, 2023 from https:\/\/www.synopsys.com\/implementation-and-signoff\/rtl-synthesis-test\/dc-ultra.html"},{"key":"e_1_3_2_1_54_1","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Takikawa Towaki","year":"2021","unstructured":"Towaki Takikawa , Joey Litalien , Kangxue Yin , Karsten Kreis , Charles Loop , Derek Nowrouzezahrai , Alec Jacobson , Morgan McGuire , and Sanja Fidler . 2021 . Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes . In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, and Sanja Fidler. 2021. Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2111.05849"},{"key":"e_1_3_2_1_56_1","volume-title":"Conference on Neural Information Processing Systems (NeurIPS).","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017 . Attention is All You Need . In Conference on Neural Information Processing Systems (NeurIPS). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. In Conference on Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_57_1","volume-title":"BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Yao Y.","unstructured":"Y. Yao , Z. Luo , S. Li , J. Zhang , Y. Ren , L. Zhou , T. Fang , and L. Quan . 2020 . BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Y. Yao, Z. Luo, S. Li, J. Zhang, Y. Ren, L. Zhou, T. Fang, and L. Quan. 2020. BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_58_1","volume-title":"PlenOctrees for Real-time Rendering of Neural Radiance Fields. In IEEE\/CVF International Conference on Computer Vision (ICCV).","author":"Yu Alex","year":"2021","unstructured":"Alex Yu , Ruilong Li , Matthew Tancik , Hao Li , Ren Ng , and Angjoo Kanazawa . 2021 . PlenOctrees for Real-time Rendering of Neural Radiance Fields. In IEEE\/CVF International Conference on Computer Vision (ICCV). Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa. 2021. PlenOctrees for Real-time Rendering of Neural Radiance Fields. In IEEE\/CVF International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_1_59_1","volume-title":"49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO).","author":"Zhang Shijin","year":"2016","unstructured":"Shijin Zhang , Zidong Du , Lei Zhang , Huiying Lan , Shaoli Liu , Ling Li , Qi Guo , Tianshi Chen , and Yunji Chen . 2016 . Cambricon-X: An accelerator for sparse neural networks . In 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO). Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, and Yunji Chen. 2016. Cambricon-X: An accelerator for sparse neural networks. In 49th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)."},{"key":"e_1_3_2_1_60_1","volume-title":"IEEE 39th International Conference on Computer Design (ICCD).","author":"Zhao Han","year":"2021","unstructured":"Han Zhao , Weihao Cui , Quan Chen , Jieru Zhao , Jingwen Leng , and Minyi Guo . 2021 . Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks . In IEEE 39th International Conference on Computer Design (ICCD). Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, and Minyi Guo. 2021. Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. In IEEE 39th International Conference on Computer Design (ICCD)."}],"event":{"name":"ISCA '23: 50th Annual International Symposium on Computer Architecture","location":"Orlando FL USA","acronym":"ISCA '23","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","IEEE"]},"container-title":["Proceedings of the 50th Annual International Symposium on Computer Architecture"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579371.3589056","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:38Z","timestamp":1750178798000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579371.3589056"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,17]]},"references-count":60,"alternative-id":["10.1145\/3579371.3589056","10.1145\/3579371"],"URL":"https:\/\/doi.org\/10.1145\/3579371.3589056","relation":{},"subject":[],"published":{"date-parts":[[2023,6,17]]},"assertion":[{"value":"2023-06-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}