---
title: "ASPLOS 2023 — accepted papers — Elamur Research"
description: "ASPLOS 2023 — accepted papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2023/"
---
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# ASPLOS 2023 — accepted papers

ASPLOS 2023 is the 2023 edition of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). OpenAlex lists 144 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**144** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2023/#works) · [**365** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/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. **[Pond: CXL-Based Memory Pooling Systems for Cloud Platforms ↗](https://doi.org/10.1145/3575693.3578835)**Huaicheng Li, Daniel S. Berger, Lisa Hsu et al.*341 citations*
2. **[TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory ↗](https://doi.org/10.1145/3582016.3582063)**Hasan Al Maruf, Hao Wang, Abhishek Dhanotia et al.*257 citations*
3. **[Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters ↗](https://doi.org/10.1145/3575693.3575754)**Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka et al.*171 citations*
4. **[NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers ↗](https://doi.org/10.1145/3575693.3575707)**Jiawei Liu, Jinkun Lin, Fabian Ruffy et al.*93 citations*
5. **[SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning ↗](https://doi.org/10.1145/3582016.3582047)**Zihao Ye, Ruihang Lai, Junru Shao et al.*91 citations*
6. **[TensorIR: An Abstraction for Automatic Tensorized Program Optimization ↗](https://doi.org/10.1145/3575693.3576933)**Siyuan Feng, Bohan Hou, Hongyi Jin et al.*83 citations*
7. **[Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale ↗](https://doi.org/10.1145/3582016.3582031)**Padmapriya Duraisamy, Wei Xü, Scott Hare et al.*74 citations*
8. **[FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks ↗](https://doi.org/10.1145/3575693.3575747)**Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal et al.*70 citations*
9. **[Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon ↗](https://doi.org/10.1145/3575693.3575710)**Jennifer Switzer, Gabriel Marcano, Ryan Kastner et al.*64 citations*
10. **[Ecovisor: A Virtual Energy System for Carbon-Efficient Applications ↗](https://doi.org/10.1145/3575693.3575709)**Abel Souza, Noman Bashir, Jorge Murillo et al.*62 citations*

## All accepted papers (144)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[Pond: CXL-Based Memory Pooling Systems for Cloud Platforms ↗](https://doi.org/10.1145/3575693.3578835)**Huaicheng Li, Daniel S. Berger, Lisa Hsu et al.*341 citations*
2. **[TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory ↗](https://doi.org/10.1145/3582016.3582063)**Hasan Al Maruf, Hao Wang, Abhishek Dhanotia et al.*257 citations*
3. **[Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters ↗](https://doi.org/10.1145/3575693.3575754)**Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka et al.*171 citations*
4. **[NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers ↗](https://doi.org/10.1145/3575693.3575707)**Jiawei Liu, Jinkun Lin, Fabian Ruffy et al.*93 citations*
5. **[SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning ↗](https://doi.org/10.1145/3582016.3582047)**Zihao Ye, Ruihang Lai, Junru Shao et al.*91 citations*
6. **[TensorIR: An Abstraction for Automatic Tensorized Program Optimization ↗](https://doi.org/10.1145/3575693.3576933)**Siyuan Feng, Bohan Hou, Hongyi Jin et al.*83 citations*
7. **[Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale ↗](https://doi.org/10.1145/3582016.3582031)**Padmapriya Duraisamy, Wei Xü, Scott Hare et al.*74 citations*
8. **[FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks ↗](https://doi.org/10.1145/3575693.3575747)**Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal et al.*70 citations*
9. **[Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon ↗](https://doi.org/10.1145/3575693.3575710)**Jennifer Switzer, Gabriel Marcano, Ryan Kastner et al.*64 citations*
10. **[Ecovisor: A Virtual Energy System for Carbon-Efficient Applications ↗](https://doi.org/10.1145/3575693.3575709)**Abel Souza, Noman Bashir, Jorge Murillo et al.*62 citations*
11. **[ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning ↗](https://doi.org/10.1145/3575693.3575721)**Diandian Gu, Yihao Zhao, Yinmin Zhong et al.*62 citations*
12. **[Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing ↗](https://doi.org/10.1145/3582016.3582069)**Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer et al.*62 citations*
13. **[Kodan: Addressing the Computational Bottleneck in Space ↗](https://doi.org/10.1145/3582016.3582043)**Bradley Denby, Krishna Kant Chintalapudi, Ranveer Chandra et al.*62 citations*
14. **[Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow ↗](https://doi.org/10.1145/3575693.3575706)**Zhiyao Li, Jiaxiang Li, Taijie Chen et al.*59 citations*
15. **[GZKP: A GPU Accelerated Zero-Knowledge Proof System ↗](https://doi.org/10.1145/3575693.3575711)**Weiliang Ma, Qian Xiong, Xuanhua Shi et al.*49 citations*
16. **[GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture ↗](https://doi.org/10.1145/3575693.3575748)**Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado et al.*48 citations*
17. **[In-Network Aggregation with Transport Transparency for Distributed Training ↗](https://doi.org/10.1145/3582016.3582037)**Shuo Liu, Qiaoling Wang, Junyi Zhang et al.*47 citations*
18. **[Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs ↗](https://doi.org/10.1145/3575693.3575705)**Qinghao Hu, Meng Zhang, Peng Sun et al.*45 citations*
19. **[Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning ↗](https://doi.org/10.1145/3575693.3575725)**Shuangyan Yang, Minjia Zhang, Wenqian Dong et al.*43 citations*
20. **[TLP: A Deep Learning-Based Cost Model for Tensor Program Tuning ↗](https://doi.org/10.1145/3575693.3575737)**Yi Zhai, Yu Zhang, Shuo Liu et al.*42 citations*
21. **[MSCCLang: Microsoft Collective Communication Language ↗](https://doi.org/10.1145/3575693.3575724)**Meghan Cowan, Saeed Maleki, Madanlal Musuvathi et al.*40 citations*
22. **[LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives ↗](https://doi.org/10.1145/3575693.3575744)**Jinghan Sun, Shaobo Li, Yunxin Sun et al.*38 citations*
23. **[RAIZN: Redundant Array of Independent Zoned Namespaces ↗](https://doi.org/10.1145/3575693.3575746)**Thomas Kim, Jekyeom Jeon, Nikhil Arora et al.*38 citations*
24. **[A Generic Service to Provide In-Network Aggregation for Key-Value Streams ↗](https://doi.org/10.1145/3575693.3575708)**Yongchao He, Wenfei Wu, Yanfang Le et al.*37 citations*
25. **[Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression ↗](https://doi.org/10.1145/3575693.3575712)**Jaeyong Song, Jinkyu Yim, Jaewon Jung et al.*37 citations*

[See all 144 papers in ASPLOS 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2023/papers/)

## Papers with our summary in our library (2)

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

1. **[SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification](https://md.research.elamur.ai/free/en/papers/miao-2023-specinfer-accelerating-generative-large-language/) [ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/)**Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.*2023 · 220 citations*
2. **[SpotServe: Serving Generative Large Language Models on Preemptible Instances](https://md.research.elamur.ai/free/en/papers/miao-2023-spotserve-serving-generative-large-language/) [ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/)**Xupeng Miao, Chunan Shi, Jiangfei Duan, et al.*2023 · 145 citations*

## Top topics

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

[Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/)

## Top authors

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

[🧑‍🔬**Xupeng Miao**2 works here · 365 citations](https://md.research.elamur.ai/free/en/authors/xupeng-miao/) · [🧑‍🔬**Gabriele Oliaro**1 work here · 220 citations](https://md.research.elamur.ai/free/en/authors/gabriele-oliaro/) · [🧑‍🔬**Xinhao Cheng**1 work here · 220 citations](https://md.research.elamur.ai/free/en/authors/xinhao-cheng/) · [🧑‍🔬**Zhengxin Zhang**1 work here · 220 citations](https://md.research.elamur.ai/free/en/authors/zhengxin-zhang/) · [🧑‍🔬**Zhihao Zhang**1 work here · 220 citations](https://md.research.elamur.ai/free/en/authors/zhihao-zhang/) · [🧑‍🔬**Bin Cui**1 work here · 145 citations](https://md.research.elamur.ai/free/en/authors/bin-cui/) · [🧑‍🔬**Dahua Lin**1 work here · 145 citations](https://md.research.elamur.ai/free/en/authors/dahua-lin/) · [🧑‍🔬**Zhihao Jia**1 work here · 145 citations](https://md.research.elamur.ai/free/en/authors/zhihao-jia/)

## Top institutions

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

[🎓**Peking University** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**University of California San Diego** San Diego · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Tsinghua University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

works and citations from OpenAlex and our library.

- [next → ASPLOS 2024](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2024/)
- [↑ back to ASPLOS](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/)