ASPLOS (1)

Publications

2024

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1, ASPLOS 2024, La Jolla, CA, USA, 27 April 2024- 1 May 2024 ASPLOS (1) (2024)
Alexa VanHattum, Monica Pardeshi, Chris Fallin, Adrian Sampson, Fraser Brown
Lightweight, Modular Verification for WebAssembly-to-Native Instruction Selection. ASPLOS (1) (2024)
Sujay Yadalam, Chloe Alverti, Vasileios Karakostas, Jayneel Gandhi, Michael M. Swift
BypassD: Enabling fast userspace access to shared SSDs. ASPLOS (1) (2024)
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) (2024)
Zirui Neil Zhao, Adam Morrison, Christopher W. Fletcher, Josep Torrellas
Everywhere All at Once: Co-Location Attacks on Public Cloud FaaS. ASPLOS (1) (2024)
Samuel Thomas, James Bornholt
Automatic Generation of Vectorizing Compilers for Customizable Digital Signal Processors. ASPLOS (1) (2024)
Shaleen Garg, Jian Zhang, Rekha Pitchumani, Manish Parashar, Bing Xie, Sudarsun Kannan
CrossPrefetch: Accelerating I/O Prefetching for Modern Storage. ASPLOS (1) (2024)
Vadim Zaliva, Kayvan Memarian, Ricardo Almeida, Jessica Clarke, Brooks Davis, Alexander Richardson, David Chisnall, Brian Campbell, Ian Stark, Robert N. M. Watson, Peter Sewell
Formal Mechanised Semantics of CHERI C: Capabilities, Undefined Behaviour, and Provenance. ASPLOS (1) (2024)
Sohaib Ahmad, Hui Guan, Brian D. Friedman, Thomas Williams, Ramesh K. Sitaraman, Thomas Y. C. Woo
Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling. ASPLOS (1) (2024)
Hugo Lefeuvre, Gaulthier Gain, Vlad-Andrei Badoiu, Daniel Dinca, Vlad-Radu Schiller, Costin Raiciu, Felipe Huici, Pierre Olivier
Loupe: Driving the Development of OS Compatibility Layers. ASPLOS (1) (2024)
Yongwoo Lee, Seonyoung Cheon, Dongkwan Kim, Dongyoon Lee, Hanjun Kim
Performance-aware Scale Analysis with Reserve for Homomorphic Encryption. ASPLOS (1) (2024)
Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding
ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. ASPLOS (1) (2024)
Wei Niu, Gagan Agrawal, Bin Ren
: Statically Optimizing Dynamic Deep Neural Network Execution. ASPLOS (1) (2024)
Tianao Ge, Tong Zhang, Hongyuan Liu
ngAP: Non-blocking Large-scale Automata Processing on GPUs. ASPLOS (1) (2024)
Chunwei Xia, Jiacheng Zhao, Qianqi Sun, Zheng Wang, Yuan Wen, Teng Yu, Xiaobing Feng, Huimin Cui
Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions. ASPLOS (1) (2024)
Hanchen Ye, Hyegang Jun, Deming Chen
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. ASPLOS (1) (2024)
Rohan Basu Roy, Tirthak Patel, Rohan Garg, Devesh Tiwari
CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization. ASPLOS (1) (2024)
Zhuo Cheng, Bradley Denby, Kyle McCleary, Brandon Lucia
EagleEye: Nanosatellite constellation design for high-coverage, high-resolution sensing. ASPLOS (1) (2024)
Zhanhong Tan, Zijian Zhu, Kaisheng Ma
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) (2024)
Daliang Xu, Mengwei Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu
SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. ASPLOS (1) (2024)
Brian R. Tauro, Brian Suchy, Simone Campanoni, Peter A. Dinda, Kyle C. Hale
TrackFM: Far-out Compiler Support for a Far Memory World. ASPLOS (1) (2024)
Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park
RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. ASPLOS (1) (2024)
Feng Ren, Mingxing Zhang, Kang Chen, Huaxia Xia, Zuoning Chen, Yongwei Wu
Scaling Up Memory Disaggregated Applications with SMART. ASPLOS (1) (2024)
Bohan Zhao, Wei Xu, Shuo Liu, Yang Tian, Qiaoling Wang, Wenfei Wu
Training Job Placement in Clusters with Statistical In-Network Aggregation. ASPLOS (1) (2024)
Leonardo Piga, Iyswarya Narayanan, Aditya Sundarrajan, Matt Skach, Qingyuan Deng, Biswadip Maity, Manoj Chakkaravarthy, Alison Huang, Abhishek Dhanotia, Parth Malani
Expanding Datacenter Capacity with DVFS Boosting: A safe and scalable deployment experience. ASPLOS (1) (2024)
Nisarg Ujjainkar, Ethan Shahan, Kenneth Chen, Budmonde Duinkharjav, Qi Sun, Yuhao Zhu
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality. ASPLOS (1) (2024)
Henry N. Schuh, Arvind Krishnamurthy, David E. Culler, Henry M. Levy, Luigi Rizzo, Samira Manabi Khan, Brent E. Stephens
CC-NIC: a Cache-Coherent Interface to the NIC. ASPLOS (1) (2024)
Shaohua Li, Zhendong Su
UBFuzz: Finding Bugs in Sanitizer Implementations. ASPLOS (1) (2024)
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) (2024)

2023

2022

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023 ASPLOS (1) (2022)