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 |
|---|---|---|
| 2026 | PF-LLM: Large Language Model Hinted Hardware Prefetching. | Ceyu Xu, Xiangfeng Sun, Weihang Li, Chen Bai, Bangyan Wang, Mengming Li, Zhiyao Xie, Yuan Xie |
| 2026 | Untitled record | Jiaming Xu, Jiayi Pan, Hanzhen Wang, Yongkang Zhou, Jiancai Ye, Yu Wang, Guohao Dai |
| 2026 | Wave: Leveraging Architecture Observation for Privacy-Preserving Model Oversight. | Haoxuan Xu, Chen Gong, Beijie Liu, Haizhong Zheng, Beidi Chen, Mengyuan Li |
| 2026 | DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline. | Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen |
| 2026 | CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. | Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li |
| 2026 | Segment Only Where You Look: Leveraging Human Gaze Behavior for Efficient Computer Vision Applications in Augmented Reality. | Tianhua Xia, Haiyu Wang, Sai Qian Zhang |
| 2026 | MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models. | Yuchen Xia, Divyam Sharma, Yichao Yuan, Souvik Kundu, Nishil Talati |
| 2026 | Fine-grained and Non-intrusive LLM Training Monitoring via Microsecond-level Traffic Measurement. | Yibo Xiao, Hao Zheng, Haifeng Sun, Qingkai Meng, Jiong Duan, Xiaohe Hu, Rong Gu, Guihai Chen, Chen Tian |
| 2026 | Finding Reusable Instructions via E-Graph Anti-Unification. | Youwei Xiao, Chenyun Yin, Yitian Sun, Yuyang Zou, Yun Liang |
| 2026 | Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context. | Hao Wu, Qidong Zhao, Songqing Chen, Yang Chen, Yueming Hao, Tony C. W. Liu, Sijia Chen, Adnan Aziz, Keren Zhou |
| 2026 | APT: Securing Against DRAM Read Disturbance via Adaptive Probabilistic In-DRAM Trackers. | Runjin Wu, Meng Zhang, You Zhou, Changsheng Xie, Fei Wu |
| 2026 | Insum: Sparse GPU Kernels Simplified and Optimized with Indirect Einsums. | Jaeyeon Won, Willow Ahrens, Saman P. Amarasinghe, Joel S. Emer |
| 2026 | RowArmor: Efficient and Comprehensive Protection Against DRAM Disturbance Attacks. | Minbok Wi, Yoonyul Yoo, Yoojin Kim, Jaeho Shin, Jumin Kim, Yesin Ryu, Saeid Gorgin, Jung Ho Ahn, Jungrae Kim |
| 2026 | PrioriFI: More Informed Fault Injection for Edge Neural Networks. | Olivia Weng, Andres Meza, Nhan Tran, Ryan Kastner |
| 2026 | Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures. | Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna |
| 2026 | T-Control: An Efficient Dynamic Tensor Rematerialization System for DNN Training. | Zehua Wang, Junmin Xiao, Xiaochuan Deng, Huibing Wang, Hui Ma, Mingyi Li, Yunfei Pang, Guangming Tan |
| 2026 | Radshield: Software Radiation Protection for Commodity Hardware in Space. | Haoda Wang, Steven Myint, Vandi Verma, Yonatan Winetraub, Junfeng Yang, Asaf Cidon |
| 2026 | Maverick: Rethinking TFHE Bootstrapping on GPUs via Algorithm-Hardware Co-Design. | Zhiwei Wang, Haoqi He, Lutan Zhao, Qingyun Niu, Dan Meng, Rui Hou |
| 2026 | SpecProto: A Parallelizing Compiler for Speculative Decoding of Large Protocol Buffers Data. | Zhijie Wang, Chales Hong, Dhruv Parmar, Shengbo Ma, Zhijia Zhao, Qidong Zhao, Xu Liu |
| 2026 | It Takes Two to Entangle. | Zhanghan Wang, Ding Ding, Hang Zhu, Haibin Lin, Aurojit Panda |
| 2026 | Efficient Temporal Graph Network Training via Unified Redundancy Elimination. | Yiqing Wang, Hailong Yang, Kejie Ma, Enze Yu, Pengbo Wang, Xin You, Qingxiao Sun, Chenhao Xie, Zhongzhi Luan, Yi Liu, Depei Qian |
| 2026 | PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits. | Joshua Viszlai, Satvik Maurya, Swamit Tannu, Margaret Martonosi, Frederic T. Chong |
| 2026 | TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference. | Xiaojuan Tang, Fanxu Meng, Pingzhi Tang, Yuxuan Wang, Di Yin, Xing Sun, Muhan Zhang |
| 2026 | RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators. | Xinsheng Tang, Yangcheng Li, Nan Wang, Zhiyi Shu, Xingyu Ling, Junna Xing, Peng Zhou, Qiang Liu |
| 2026 | MoE-APEX: An Efficient MoE Inference System with Adaptive Precision Expert Offloading. | Peng Tang, Jiacheng Liu, Xiaofeng Hou, Yifei Pu, Jing Wang, Pheng-Ann Heng, Chao Li, Minyi Guo |
26–50 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