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# Proceedings - International Symposium on Computer Architecture/Proceedings 2025 — accepted papers

Proceedings - International Symposium on Computer Architecture/Proceedings 2025 is the 2025 edition of the Proceedings - International Symposium on Computer Architecture/Proceedings. OpenAlex lists 135 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.

[**135** 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/2025/#works) · [**74** citations of these works](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/2025/#works)

## Most cited papers

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

1. **[Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/)**Chenggang Zhao, Chengqi Deng, Chong Ruan et al.*41 citations · our summary*
2. **[H 2 -LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference ↗](https://doi.org/10.1145/3695053.3731008)**Cong Li, Yihan Yin, Xintong Wu et al.*34 citations*
3. **[WSC-LLM: Efficient LLM Service and Architecture Co-exploration for Wafer-scale Chips ↗](https://doi.org/10.1145/3695053.3731101)**Zheng Ming Xu, Dehao Kong, Jiaxin Liu et al.*22 citations*
4. **[LIA: A Single-GPU LLM Inference Acceleration with Cooperative AMX-Enabled CPU-GPU Computation and CXL Offloading ↗](https://doi.org/10.1145/3695053.3731092)**Hyungyo Kim, Nachuan Wang, Qirong Xia et al.*20 citations*
5. **[LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference ↗](https://doi.org/10.1145/3695053.3731057)**Zhiwen Mo, Lei Wang, Jianyu Wei et al.*18 citations*
6. **[Neo: Towards Efficient Fully Homomorphic Encryption Acceleration using Tensor Core ↗](https://doi.org/10.1145/3695053.3731408)**Dian Jiao, Xianglong Deng, Zhiwei Wang et al.*18 citations*
7. **[Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization ↗](https://doi.org/10.1145/3695053.3731019)**Minsu Kim, Seongmin Hong, Ryeowook Ko et al.*17 citations*
8. **[PD Constraint-aware Physical/Logical Topology Co-Design for Network on Wafer ↗](https://doi.org/10.1145/3695053.3731045)**Qize Yang, Taiquan Wei, Sihan Guan et al.*16 citations*
9. **[RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving ↗](https://doi.org/10.1145/3695053.3731093)**Wenqi Jiang, Suvinay Subramanian, Cat Graves et al.*16 citations*
10. **[WindServe: Efficient Phase-Disaggregated LLM Serving with Stream-based Dynamic Scheduling ↗](https://doi.org/10.1145/3695053.3730999)**Jingqi Feng, Yukai Huang, Rui Zhang et al.*16 citations*

## All accepted papers (135)

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

1. **[Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/)**Chenggang Zhao, Chengqi Deng, Chong Ruan et al.*41 citations · our summary*
2. **[H 2 -LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference ↗](https://doi.org/10.1145/3695053.3731008)**Cong Li, Yihan Yin, Xintong Wu et al.*34 citations*
3. **[WSC-LLM: Efficient LLM Service and Architecture Co-exploration for Wafer-scale Chips ↗](https://doi.org/10.1145/3695053.3731101)**Zheng Ming Xu, Dehao Kong, Jiaxin Liu et al.*22 citations*
4. **[LIA: A Single-GPU LLM Inference Acceleration with Cooperative AMX-Enabled CPU-GPU Computation and CXL Offloading ↗](https://doi.org/10.1145/3695053.3731092)**Hyungyo Kim, Nachuan Wang, Qirong Xia et al.*20 citations*
5. **[LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference ↗](https://doi.org/10.1145/3695053.3731057)**Zhiwen Mo, Lei Wang, Jianyu Wei et al.*18 citations*
6. **[Neo: Towards Efficient Fully Homomorphic Encryption Acceleration using Tensor Core ↗](https://doi.org/10.1145/3695053.3731408)**Dian Jiao, Xianglong Deng, Zhiwei Wang et al.*18 citations*
7. **[Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization ↗](https://doi.org/10.1145/3695053.3731019)**Minsu Kim, Seongmin Hong, Ryeowook Ko et al.*17 citations*
8. **[PD Constraint-aware Physical/Logical Topology Co-Design for Network on Wafer ↗](https://doi.org/10.1145/3695053.3731045)**Qize Yang, Taiquan Wei, Sihan Guan et al.*16 citations*
9. **[RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving ↗](https://doi.org/10.1145/3695053.3731093)**Wenqi Jiang, Suvinay Subramanian, Cat Graves et al.*16 citations*
10. **[WindServe: Efficient Phase-Disaggregated LLM Serving with Stream-based Dynamic Scheduling ↗](https://doi.org/10.1145/3695053.3730999)**Jingqi Feng, Yukai Huang, Rui Zhang et al.*16 citations*
11. **[AiF: Accelerating On-Device LLM Inference Using In-Flash Processing ↗](https://doi.org/10.1145/3695053.3731073)**Jaeyong Lee, Hyeunjoo Kim, Sanghun Oh et al.*14 citations*
12. **[Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences ↗](https://doi.org/10.1145/3695053.3731409)**Joel Coburn, Chunqiang Tang, Sameer Abu Asal et al.*14 citations*
13. **[REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing ↗](https://doi.org/10.1145/3695053.3731116)**Kangqi Chen, Rakesh Nadig, Manos Frouzakis et al.*14 citations*
14. **[MoPAC: Efficiently Mitigating Rowhammer with Probabilistic Activation Counting ↗](https://doi.org/10.1145/3695053.3730997)**Suhas Vittal, Salman Qazi, Poulami Das et al.*13 citations*
15. **[Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression ↗](https://doi.org/10.1145/3695053.3731024)**Feng Cheng, Cong Guo, Chiyue Wei et al.*12 citations*
16. **[Need for zkSpeed: Accelerating HyperPlonk for Zero-Knowledge Proofs ↗](https://doi.org/10.1145/3695053.3731021)**Alhad Daftardar, Jianqiao Mo, Joey Ah-kiow et al.*12 citations*
17. **[Chimera: Communication Fusion for Hybrid Parallelism in Large Language Models ↗](https://doi.org/10.1145/3695053.3731025)**Le Qin, Junwei Cui, Weilin Cai et al.*11 citations*
18. **[Cramming a Data Center into One Cabinet, a Co-Exploration of Computing and Hardware Architecture of Waferscale Chip ↗](https://doi.org/10.1145/3695053.3731016)**Xingmao Yu, Dingcheng Jiang, Jinyi Deng et al.*11 citations*
19. **[Fair-CO2: Fair Attribution for Cloud Carbon Emissions ↗](https://doi.org/10.1145/3695053.3731023)**Leo Han, Jash Kakadia, Benjamin C. Lee et al.*11 citations*
20. **[Hybe: GPU-NPU Hybrid System for Efficient LLM Inference with Million-Token Context Window ↗](https://doi.org/10.1145/3695053.3731051)**Seungjae Moon, Junseo Cha, Hyunjun Park et al.*11 citations*
21. **[ANSMET: Approximate Nearest Neighbor Search with Near-Memory Processing and Hybrid Early Termination ↗](https://doi.org/10.1145/3695053.3731013)**Yiwei Li, Yuxin Jin, Boyu Tian et al.*10 citations*
22. **[DReX: Accurate and Scalable Dense Retrieval Acceleration via Algorithmic-Hardware Codesign ↗](https://doi.org/10.1145/3695053.3731079)**Derrick Quinn, E. Ezgi Yücel, Martin Prammer et al.*10 citations*
23. **[Dadu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation ↗](https://doi.org/10.1145/3695053.3731099)**Yiyang Huang, Yuhui Hao, Yu Bo et al.*10 citations*
24. **[HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation ↗](https://doi.org/10.1145/3695053.3731089)**Chaoqiang Liu, Haifeng Liu, Dan Chen et al.*10 citations*
25. **[MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization ↗](https://doi.org/10.1145/3695053.3730989)**Akshat Ramachandran, Souvik Kundu, Tushar Krishna*10 citations*

[See all 135 papers in Proceedings - International Symposium on Computer Architecture/Proceedings 2025 — accepted papers →](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/2025/papers/)

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

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

1. **[Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/) [Proceedings - International Symposium on Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/)**Chenggang Zhao, Chengqi Deng, Chong Ruan, et al.*2025 · 74 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

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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.

[🧑‍🔬**Chengqi Deng**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/chengqi-deng/) · [🧑‍🔬**Chong Ruan**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/chong-ruan/) · [🧑‍🔬**Damai Dai**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/damai-dai/) · [🧑‍🔬**Huazuo Gao**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/huazuo-gao/) · [🧑‍🔬**Liyue Zhang**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/liyue-zhang/) · [🧑‍🔬**Shirong Ma**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/shirong-ma/) · [🧑‍🔬**Ying He**1 work here · 74 citations](https://md.research.elamur.ai/free/en/authors/ying-he/)

## Top institutions

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

[🏢**DeepSeek** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/companies/deepseek/)

works and citations from OpenAlex and our library.

- [← previous Proceedings - International Symposium on Computer Architecture/Proceedings 2023](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/2023/)
- [↑ back to Proceedings - International Symposium on Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-computer-architecture-proceedings/)