---
title: "ASPLOS 2024 — accepted papers — Elamur Research"
description: "ASPLOS 2024 — accepted papers: 1 paper 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/2024/"
---
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# ASPLOS 2024 — accepted papers

ASPLOS 2024 is the 2024 edition of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). OpenAlex lists 198 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.

[**198** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2024/#works) · [**946** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2024/#works)

## Most cited papers

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

1. **[PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation](https://md.research.elamur.ai/free/en/papers/ansel-2024-pytorch-2-faster-machine-learning/)**Jason Ansel, Edward Z. Yang, Horace He et al.*690 citations · our summary*
2. **[AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference ↗](https://doi.org/10.1145/3620665.3640422)**Jaehyun Park, Jaewan Choi, Kwanhee Kyung et al.*125 citations*
3. **[NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing ↗](https://doi.org/10.1145/3620666.3651380)**Guseul Heo, Sangyeop Lee, Jaehong Cho et al.*122 citations*
4. **[SpecInfer: Accelerating 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/)**Xupeng Miao, Gabriele Oliaro, Zhihao Zhang et al.*110 citations · our summary*
5. **[Characterizing Power Management Opportunities for LLMs in the Cloud ↗](https://doi.org/10.1145/3620666.3651329)**Pratyush Patel, Esha Choukse, Chaojie Zhang et al.*84 citations*
6. **[GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting ↗](https://doi.org/10.1145/3620666.3651385)**Junseo Lee, Seokwon Lee, Jungi Lee et al.*77 citations*
7. **[SpotServe: Serving Generative Large Language Models on Preemptible Instances](https://md.research.elamur.ai/free/en/papers/miao-2023-spotserve-serving-generative-large-language/)**Xupeng Miao, Chunan Shi, Jiangfei Duan et al.*74 citations · our summary*
8. **[RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing ↗](https://doi.org/10.1145/3617232.3624871)**Hanfei Yu, Rohan Basu Roy, Christian Fontenot et al.*72 citations*
9. **[IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System ↗](https://doi.org/10.1145/3620666.3651324)**Minseok Seo, Xuan Truong Nguyen, Seok Joong Hwang et al.*57 citations*
10. **[Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning ↗](https://doi.org/10.1145/3620666.3651379)**Chang Chen, Xiuhong Li, Qianchao Zhu et al.*52 citations*

## All accepted papers (198)

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

1. **[PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation](https://md.research.elamur.ai/free/en/papers/ansel-2024-pytorch-2-faster-machine-learning/)**Jason Ansel, Edward Z. Yang, Horace He et al.*690 citations · our summary*
2. **[AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference ↗](https://doi.org/10.1145/3620665.3640422)**Jaehyun Park, Jaewan Choi, Kwanhee Kyung et al.*125 citations*
3. **[NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing ↗](https://doi.org/10.1145/3620666.3651380)**Guseul Heo, Sangyeop Lee, Jaehong Cho et al.*122 citations*
4. **[SpecInfer: Accelerating 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/)**Xupeng Miao, Gabriele Oliaro, Zhihao Zhang et al.*110 citations · our summary*
5. **[Characterizing Power Management Opportunities for LLMs in the Cloud ↗](https://doi.org/10.1145/3620666.3651329)**Pratyush Patel, Esha Choukse, Chaojie Zhang et al.*84 citations*
6. **[GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting ↗](https://doi.org/10.1145/3620666.3651385)**Junseo Lee, Seokwon Lee, Jungi Lee et al.*77 citations*
7. **[SpotServe: Serving Generative Large Language Models on Preemptible Instances](https://md.research.elamur.ai/free/en/papers/miao-2023-spotserve-serving-generative-large-language/)**Xupeng Miao, Chunan Shi, Jiangfei Duan et al.*74 citations · our summary*
8. **[RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing ↗](https://doi.org/10.1145/3617232.3624871)**Hanfei Yu, Rohan Basu Roy, Christian Fontenot et al.*72 citations*
9. **[IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System ↗](https://doi.org/10.1145/3620666.3651324)**Minseok Seo, Xuan Truong Nguyen, Seok Joong Hwang et al.*57 citations*
10. **[Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning ↗](https://doi.org/10.1145/3620666.3651379)**Chang Chen, Xiuhong Li, Qianchao Zhu et al.*52 citations*
11. **[DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores ↗](https://doi.org/10.1145/3620666.3651378)**Ruibo Fan, Wei Wang, Xiaowen Chu*47 citations*
12. **[Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions ↗](https://doi.org/10.1145/3620666.3651374)**Walid A. Hanafy, Qianlin Liang, Noman Bashir et al.*44 citations*
13. **[ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference ↗](https://doi.org/10.1145/3620665.3640383)**Hyungjun Oh, K.J. Kim, Jaemin Kim et al.*42 citations*
14. **[MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training ↗](https://doi.org/10.1145/3620665.3640426)**Hongwu Peng, Xi Xie, Kaustubh Shivdikar et al.*35 citations*
15. **[Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling ↗](https://doi.org/10.1145/3617232.3624849)**Sohaib Ahmad, Hui Guan, Brian D. Friedman et al.*31 citations*
16. **[FOCAL: A First-Order Carbon Model to Assess Processor Sustainability ↗](https://doi.org/10.1145/3620665.3640415)**Lieven Eeckhout*30 citations*
17. **[GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching ↗](https://doi.org/10.1145/3620665.3640423)**Cong Guo, Rui Zhang, Jiale Xu et al.*30 citations*
18. **[SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration ↗](https://doi.org/10.1145/3620666.3651352)**Cong Li, Zhe Zhou, Size Zheng et al.*29 citations*
19. **[AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning ↗](https://doi.org/10.1145/3620666.3651359)**Zhenbo Sun, Huanqi Cao, Yuanwei Wang et al.*28 citations*
20. **[PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization ↗](https://doi.org/10.1145/3620665.3640376)**Cong Li, Zhe Zhou, Yang Wang et al.*27 citations*
21. **[The Mutators Reloaded: Fuzzing Compilers with Large Language Model Generated Mutation Operators ↗](https://doi.org/10.1145/3622781.3674171)**Xianfei Ou, Cong Li, Yanyan Jiang et al.*27 citations*
22. **[8-bit Transformer Inference and Fine-tuning for Edge Accelerators ↗](https://doi.org/10.1145/3620666.3651368)**Jeffrey J. Yu, Kartik Prabhu, Yonatan Urman et al.*26 citations*
23. **[TCCL: Discovering Better Communication Paths for PCIe GPU Clusters ↗](https://doi.org/10.1145/3620666.3651362)**Heehoon Kim, Junyeol Ryu, Jaejin Lee*26 citations*
24. **[A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer ↗](https://doi.org/10.1145/3620665.3640388)**Junpyo Kim, Dongmoon Min, Jungmin Cho et al.*25 citations*
25. **[A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors ↗](https://doi.org/10.1145/3620665.3640401)**Reese Kuper, Ipoom Jeong, Yifan Yuan et al.*24 citations*

[See all 198 papers in ASPLOS 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2024/papers/)

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

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

1. **[PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation](https://md.research.elamur.ai/free/en/papers/ansel-2024-pytorch-2-faster-machine-learning/) [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/)**Jason Ansel, Edward Yang, Horace He, et al.*2024 · 946 citations*

## 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.

[🧑‍🔬**Evgeni Burovski**1 work here · 946 citations](https://md.research.elamur.ai/free/en/authors/evgeni-burovski/) · [🧑‍🔬**Horace He**1 work here · 946 citations](https://md.research.elamur.ai/free/en/authors/horace-he/) · [🧑‍🔬**Natalia Gimelshein**1 work here · 946 citations](https://md.research.elamur.ai/free/en/authors/natalia-gimelshein/) · [🧑‍🔬**Peter Bell**1 work here · 946 citations](https://md.research.elamur.ai/free/en/authors/peter-bell/)

## Top institutions

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

[🏢**Intel** Santa Clara · United States 1 work here](https://md.research.elamur.ai/free/en/companies/intel/) · [🎓**University of Michigan** Ann Arbor · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🏢**Quansight** Austin · United States 1 work here](https://md.research.elamur.ai/free/en/companies/quansight/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**OpenAI** San Francisco · United States 1 work here](https://md.research.elamur.ai/free/en/companies/openai/)

works and citations from OpenAlex and our library.

- [← previous ASPLOS 2023](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/2023/)
- [↑ back to ASPLOS](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-architectural-support-for-programming-languages/)