Architectural Support for Programming Languages and Operating Systems
ASPLOS
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
21.0% (2024)
Fields of research
Software Engineering · Distributed Computing and Systems Software
Papers indexed
1,953
1982–2026
Papers per year
1982198 peak2026
Most published authors
ASPLOS papers
1,953 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Longnail: High-Level Synthesis of Portable Custom Instruction Set Extensions for RISC-V Processors from Descriptions in the Open-Source CoreDSL Language. | Julian Oppermann, Brindusa Mihaela Damian-Kosterhon, Florian Meisel, Tammo Mrmann, Eyck Jentzsch, Andreas Koch |
| 2024 | ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference. | Hyungjun Oh, Kihong Kim, Jaemin Kim, Sungkyun Kim, Junyeol Lee, Du-Seong Chang, Jiwon Seo |
| 2024 | SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. | Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren |
| 2024 | SoD | Wei Niu, Gagan Agrawal, Bin Ren |
| 2024 | MicroVSA: An Ultra-Lightweight Vector Symbolic Architecture-based Classifier Library for Always-On Inference on Tiny Microcontrollers. | Nuntipat Narkthong, Shijin Duan, Shaolei Ren, Xiaolin Xu |
| 2024 | Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters. | Zizhao Mo, Huanle Xu, Chengzhong Xu |
| 2024 | SpotServe: Serving Generative Large Language Models on Preemptible Instances. | Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia |
| 2024 | SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification. | Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia |
| 2024 | Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness. | Jinsong Mao, Hailun Ding, Juan Zhai, Shiqing Ma |
| 2024 | Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. | Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao |
| 2024 | In-Storage Domain-Specific Acceleration for Serverless Computing. | Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh |
| 2024 | Efficient Microsecond-scale Blind Scheduling with Tiny Quanta. | Zhihong Luo, Sam Son, Dev Bali, Emmanuel Amaro, Amy Ousterhout, Sylvia Ratnasamy, Scott Shenker |
| 2024 | ACES: Accelerating Sparse Matrix Multiplication with Adaptive Execution Flow and Concurrency-Aware Cache Optimizations. | Xiaoyang Lu, Boyu Long, Xiaoming Chen, Yinhe Han, Xian-He Sun |
| 2024 | PIM-STM: Software Transactional Memory for Processing-In-Memory Systems. | Andr Lopes, Daniel Castro, Paolo Romano |
| 2024 | SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration. | Cong Li, Zhe Zhou, Size Zheng, Jiaxi Zhang, Yun Liang, Guangyu Sun |
| 2024 | PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. | Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun |
| 2024 | FUYAO: DPU-enabled Direct Data Transfer for Serverless Computing. | Guowei Liu, Laiping Zhao, Yiming Li, Zhaolin Duan, Sheng Chen, Yitao Hu, Zhiyuan Su, Wenyu Qu |
| 2024 | FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing. | Yushi Liu, Shixuan Sun, Zijun Li, Quan Chen, Sen Gao, Bingsheng He, Chao Li, Minyi Guo |
| 2024 | JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. | Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu |
| 2024 | Fermihedral: On the Optimal Compilation for Fermion-to-Qubit Encoding. | Yuhao Liu, Shize Che, Junyu Zhou, Yunong Shi, Gushu Li |
| 2024 | FMCC: Flexible Measurement-based Quantum Computation over Cluster State. | Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang |
| 2024 | Codesign of quantum error-correcting codes and modular chiplets in the presence of defects. | Sophia Fuhui Lin, Joshua Viszlai, Kaitlin N. Smith, Gokul Subramanian Ravi, Charles Yuan, Frederic T. Chong, Benjamin J. Brown |
| 2024 | GIANTSAN: Efficient Memory Sanitization with Segment Folding. | Hao Ling, Heqing Huang, Chengpeng Wang, Yuandao Cai, Charles Zhang |
| 2024 | LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. | Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu |
| 2024 | UBFuzz: Finding Bugs in Sanitizer Implementations. | Shaohua Li, Zhendong Su |
426–450 of 1,953← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICSEInternational Conference on Software Engineering
- AOOPSLAACM Conference on Object Oriented Programming Systems Languages and Applications
- AMODELSInternational Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005)
- AREIEEE International Requirements Engineering Conference
- ABPMInternational Conference in Business Process Management
- AISSREInternational Symposium on Software Reliability Engineering
- AICSTInternational Conference on Software Testing, Verification and Validation
- A*SIGMETRICSMeasurement and Modeling of Computer Systems