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# Proceedings - International Symposium on Computer Architecture/Proceedings 2023 — accepted papers

Proceedings - International Symposium on Computer Architecture/Proceedings 2023 is the 2023 edition of the Proceedings - International Symposium on Computer Architecture/Proceedings. OpenAlex lists 84 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**84** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/2023/#works) · [**615** citations of these works](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/2023/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings](https://md.research.elamur.ai/free/en/papers/jouppi-2023-tpu-v4-optically-reconfigurable-supercomputer/)**Norman Paul Jouppi, George Kurian, Sheng Li et al.*508 citations · our summary*
2. **[OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization ↗](https://doi.org/10.1145/3579371.3589038)**Cong Guo, Jiaming Tang, Weiming Hu et al.*152 citations*
3. **[FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction ↗](https://doi.org/10.1145/3579371.3589057)**Yubin Qin, Yang Wang, Dazheng Deng et al.*116 citations*
4. **[SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption ↗](https://doi.org/10.1145/3579371.3589053)**Jongmin Kim, Sangpyo Kim, Jaewan Choi et al.*112 citations*
5. **[Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction ↗](https://doi.org/10.1145/3579371.3589115)**Sixu Li, Chaojian Li, Wenbo Zhu et al.*79 citations*
6. **[RowPress: Amplifying Read Disturbance in Modern DRAM Chips ↗](https://doi.org/10.1145/3579371.3589063)**Haocong Luo, Ataberk Olgun, A. Giray Yağlıkçı et al.*74 citations*
7. **[Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators ↗](https://doi.org/10.1145/3579371.3589048)**Jingwei Cai, Yuchen Wei, Zuotong Wu et al.*66 citations*
8. **[With Shared Microexponents, A Little Shifting Goes a Long Way ↗](https://doi.org/10.1145/3579371.3589351)**Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango et al.*54 citations*
9. **[MTIA: First Generation Silicon Targeting Meta's Recommendation Systems ↗](https://doi.org/10.1145/3579371.3589348)**Amin Firoozshahian, Joel Coburn, Roman Levenstein et al.*53 citations*
10. **[Understanding and Mitigating Hardware Failures in Deep Learning Training Systems ↗](https://doi.org/10.1145/3579371.3589105)**Yi He, Mike Hutton, Steven Chan et al.*53 citations*

## All accepted papers (84)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings](https://md.research.elamur.ai/free/en/papers/jouppi-2023-tpu-v4-optically-reconfigurable-supercomputer/)**Norman Paul Jouppi, George Kurian, Sheng Li et al.*508 citations · our summary*
2. **[OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization ↗](https://doi.org/10.1145/3579371.3589038)**Cong Guo, Jiaming Tang, Weiming Hu et al.*152 citations*
3. **[FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction ↗](https://doi.org/10.1145/3579371.3589057)**Yubin Qin, Yang Wang, Dazheng Deng et al.*116 citations*
4. **[SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption ↗](https://doi.org/10.1145/3579371.3589053)**Jongmin Kim, Sangpyo Kim, Jaewan Choi et al.*112 citations*
5. **[Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction ↗](https://doi.org/10.1145/3579371.3589115)**Sixu Li, Chaojian Li, Wenbo Zhu et al.*79 citations*
6. **[RowPress: Amplifying Read Disturbance in Modern DRAM Chips ↗](https://doi.org/10.1145/3579371.3589063)**Haocong Luo, Ataberk Olgun, A. Giray Yağlıkçı et al.*74 citations*
7. **[Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators ↗](https://doi.org/10.1145/3579371.3589048)**Jingwei Cai, Yuchen Wei, Zuotong Wu et al.*66 citations*
8. **[With Shared Microexponents, A Little Shifting Goes a Long Way ↗](https://doi.org/10.1145/3579371.3589351)**Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango et al.*54 citations*
9. **[MTIA: First Generation Silicon Targeting Meta's Recommendation Systems ↗](https://doi.org/10.1145/3579371.3589348)**Amin Firoozshahian, Joel Coburn, Roman Levenstein et al.*53 citations*
10. **[Understanding and Mitigating Hardware Failures in Deep Learning Training Systems ↗](https://doi.org/10.1145/3579371.3589105)**Yi He, Mike Hutton, Steven Chan et al.*53 citations*
11. **[NeuRex: A Case for Neural Rendering Acceleration ↗](https://doi.org/10.1145/3579371.3589056)**Junseo Lee, Kwanseok Choi, Jungi Lee et al.*49 citations*
12. **[Astrea: Accurate Quantum Error-Decoding via Practical Minimum-Weight Perfect-Matching ↗](https://doi.org/10.1145/3579371.3589037)**Suhas Vittal, Poulami Das, Moinuddin K. Qureshi*47 citations*
13. **[RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! ↗](https://doi.org/10.1145/3579371.3589062)**Tanner Andrulis, Joel Emer, Vivienne Sze*46 citations*
14. **[Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems ↗](https://doi.org/10.1145/3579371.3589080)**Sankha Baran Dutta, Hoda Naghibijouybari, Arjun K. Gupta et al.*42 citations*
15. **[MXFaaS: Resource Sharing in Serverless Environments for Parallelism and Efficiency ↗](https://doi.org/10.1145/3579371.3589069)**Jovan Stojkovic, Tianyin Xu, Hubertus Franke et al.*39 citations*
16. **[MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing ↗](https://doi.org/10.1145/3579371.3589091)**Dan Chen, Haiheng He, Hai Jin et al.*36 citations*
17. **[Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design ↗](https://doi.org/10.1145/3579371.3589109)**Yonggan Fu, Zhifan Ye, Jiayi Yuan et al.*34 citations*
18. **[Accelerating Personalized Recommendation with Cross-level Near-Memory Processing ↗](https://doi.org/10.1145/3579371.3589101)**Haifeng Liu, Long Zheng, Yu Huang et al.*31 citations*
19. **[Hardware Acceleration of Neural Graphics ↗](https://doi.org/10.1145/3579371.3589085)**Muhammad Husnain Mubarik, Ramakrishna Kanungo, Tobias Zirr et al.*30 citations*
20. **[MapZero: Mapping for Coarse-grained Reconfigurable Architectures with Reinforcement Learning and Monte-Carlo Tree Search ↗](https://doi.org/10.1145/3579371.3589081)**Xiangyu Kong, Yi Cheng Huang, Jianfeng Zhu et al.*30 citations*
21. **[Profiling Hyperscale Big Data Processing ↗](https://doi.org/10.1145/3579371.3589082)**Abraham Gonzalez, Aasheesh Kolli, Samira Khan et al.*30 citations*
22. **[Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures ↗](https://doi.org/10.1145/3579371.3589042)**Satvik Maurya, Chaithanya Naik Mude, William D. Oliver et al.*30 citations*
23. **[Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses ↗](https://doi.org/10.1145/3579371.3589071)**Rakesh Nadig, Mohammad Sadrosadati, Haiyu Mao et al.*29 citations*
24. **[EdgePC: Efficient Deep Learning Analytics for Point Clouds on Edge Devices ↗](https://doi.org/10.1145/3579371.3589113)**Ziyu Ying, Sandeepa Bhuyan, Yan Kang et al.*28 citations*
25. **[LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge ↗](https://doi.org/10.1145/3579371.3589089)**Tianrui Ma, Adith Boloor, Xiangxing Yang et al.*27 citations*

[See all 84 papers in Proceedings - International Symposium on Computer Architecture/Proceedings 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/2023/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings](https://md.research.elamur.ai/free/en/papers/jouppi-2023-tpu-v4-optically-reconfigurable-supercomputer/) [Proceedings - International Symposium on Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/)**Norman P. Jouppi; George Kurian; Sheng Li; Peter Ma; Rahul Nagarajan; Lifeng Nai; Nishant Patil; Suvinay Subramanian; Andy Swing; Brian Towles; Cliff Young; Xiang Zhou; Zongwei Zhou;, David Patterson*2023 · 615 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[GPU & parallel computing (1)](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**David Patterson**1 work here · 615 citations](https://md.research.elamur.ai/free/en/authors/david-patterson/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of California, Berkeley** Berkeley · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

works and citations from OpenAlex and our library.

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