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 |
|---|---|---|
| 2023 | CaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit. | Fei Hua, Yuwei Jin, Yan-Hao Chen, Suhas Vittal, Kevin Krsulich, Lev S. Bishop, John Lapeyre, Ali Javadi-Abhari, Eddy Z. Zhang |
| 2023 | The Sparse Abstract Machine. | Olivia Hsu, Maxwell Strange, Ritvik Sharma, Jaeyeon Won, Kunle Olukotun, Joel S. Emer, Mark A. Horowitz, Fredrik Kjlstad |
| 2023 | MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. | Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu |
| 2023 | Copy-on-Pin: The Missing Piece for Correct Copy-on-Write. | David Hildenbrand, Martin Schulz, Nadav Amit |
| 2023 | A Generic Service to Provide In-Network Aggregation for Key-Value Streams. | Yongchao He, Wenfei Wu, Yanfang Le, Ming Liu, ChonLam Lao |
| 2023 | BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. | Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi |
| 2023 | DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. | Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen |
| 2023 | ShakeFlow: Functional Hardware Description with Latency-Insensitive Interface Combinators. | Sungsoo Han, Minseong Jang, Jeehoon Kang |
| 2023 | Graphene: An IR for Optimized Tensor Computations on GPUs. | Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover |
| 2023 | Compiling Distributed System Models with PGo. | A. Finn Hackett, Shayan Hosseini, Renato Costa, Matthew Do, Ivan Beschastnikh |
| 2023 | ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. | Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu |
| 2023 | STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining. | Liwei Guo, Wonkyo Choe, Felix Xiaozhu Lin |
| 2023 | Risotto: A Dynamic Binary Translator for Weak Memory Model Architectures. | Redha Gouicem, Dennis Sprokholt, Jasper Ruehl, Rodrigo C. O. Rocha, Tom Spink, Soham Chakraborty, Pramod Bhatotia |
| 2023 | Mosaic Pages: Big TLB Reach with Small Pages. | Krishnan Gosakan, Jaehyun Han, William Kuszmaul, Ibrahim N. Mubarek, Nirjhar Mukherjee, Karthik Sriram, Guido Tagliavini, Evan West, Michael A. Bender, Abhishek Bhattacharjee, Alex Conway, Martin Farach-Colton, Jayneel Gandhi, Rob Johnson, Sudarsun Kannan, Donald E. Porter |
| 2023 | Supporting Descendants in SIMD-Accelerated JSONPath. | Mateusz Gienieczko, Filip Murlak, Charles Paperman |
| 2023 | Characterizing and Optimizing End-to-End Systems for Private Inference. | Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen |
| 2023 | DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design. | Yizhao Gao, Baoheng Zhang, Xiaojuan Qi, Hayden Kwok-Hay So |
| 2023 | CaT: A Solver-Aided Compiler for Packet-Processing Pipelines. | Xiangyu Gao, Divya Raghunathan, Ruijie Fang, Tao Wang, Xiaotong Zhu, Anirudh Sivaraman, Srinivas Narayana, Aarti Gupta |
| 2023 | Sleuth: A Trace-Based Root Cause Analysis System for Large-Scale Microservices with Graph Neural Networks. | Yu Gan, Guiyang Liu, Xin Zhang, Qi Zhou, Jiesheng Wu, Jiangwei Jiang |
| 2023 | Towards a Machine Learning-Assisted Kernel with LAKE. | Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, Bodun Hu, Aditya Akella, Christopher J. Rossbach |
| 2023 | Mobius: Fine Tuning Large-Scale Models on Commodity GPU Servers. | Yangyang Feng, Minhui Xie, Zijie Tian, Shuo Wang, Youyou Lu, Jiwu Shu |
| 2023 | Verification of Nondeterministic Quantum Programs. | Yuan Feng, Yingte Xu |
| 2023 | TensorIR: An Abstraction for Automatic Tensorized Program Optimization. | Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen |
| 2023 | Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism. | Mahyar Emami, Sahand Kashani, Keisuke Kamahori, Mohammad Sepehr Pourghannad, Ritik Raj, James R. Larus |
| 2023 | Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale. | Padmapriya Duraisamy, Wei Xu, Scott Hare, Ravi Rajwar, David E. Culler, Zhiyi Xu, Jianing Fan, Christopher Kennelly, Bill McCloskey, Danijela Mijailovic, Brian Morris, Chiranjit Mukherjee, Jingliang Ren, Greg Thelen, Paul Turner, Carlos Villavieja, Parthasarathy Ranganathan, Amin Vahdat |
626–650 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