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ORCIDASPLOS 2024: La Jolla, CA, USA
- Rajiv Gupta, Nael B. Abu-Ghazaleh, Madan Musuvathi, Dan Tsafrir:
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. ACM 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. 1-18 - Samuel Thomas, James Bornholt:
Automatic Generation of Vectorizing Compilers for Customizable Digital Signal Processors. 19-34 - Sujay Yadalam, Chloe Alverti, Vasileios Karakostas, Jayneel Gandhi, Michael M. Swift:
BypassD: Enabling fast userspace access to shared SSDs. 35-51 - 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. 52-68 - Zhanhong Tan, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. 69-84 - Rohan Basu Roy, Tirthak Patel, Rohan Garg, Devesh Tiwari:
CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization. 85-101 - Shaleen Garg, Jian Zhang, Rekha Pitchumani, Manish Parashar, Bing Xie, Sudarsun Kannan:
CrossPrefetch: Accelerating I/O Prefetching for Modern Storage. 102-116 - Zhuo Cheng, Bradley Denby, Kyle McCleary, Brandon Lucia:
EagleEye: Nanosatellite constellation design for high-coverage, high-resolution sensing. 117-132 - Zirui Neil Zhao, Adam Morrison, Christopher W. Fletcher, Josep Torrellas:
Everywhere All at Once: Co-Location Attacks on Public Cloud FaaS. 133-149 - 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. 150-165 - 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. 166-180 - 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. 181-196 - 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. 197-214 - Hanchen Ye, Hyegang Jun, Deming Chen:
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. 215-230 - Alexa VanHattum, Monica Pardeshi, Chris Fallin, Adrian Sampson, Fraser Brown:
Lightweight, Modular Verification for WebAssembly-to-Native Instruction Selection. 231-248 - 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. 249-267 - Tianao Ge, Tong Zhang, Hongyuan Liu:
ngAP: Non-blocking Large-scale Automata Processing on GPUs. 268-285 - 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. 286-301 - Yongwoo Lee, Seonyoung Cheon, Dongkwan Kim, Dongyoon Lee, Hanjun Kim:
Performance-aware Scale Analysis with Reserve for Homomorphic Encryption. 302-317 - 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. 318-334 - 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. 335-350 - Feng Ren, Mingxing Zhang, Kang Chen, Huaxia Xia, Zuoning Chen, Yongwei Wu:
Scaling Up Memory Disaggregated Applications with SMART. 351-367 - 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. 368-385 - Wei Niu, Gagan Agrawal, Bin Ren:
SoD2: Statically Optimizing Dynamic Deep Neural Network Execution. 386-400 - Brian R. Tauro, Brian Suchy, Simone Campanoni, Peter A. Dinda, Kyle C. Hale:
TrackFM: Far-out Compiler Support for a Far Memory World. 401-419 - Bohan Zhao, Wei Xu, Shuo Liu, Yang Tian, Qiaoling Wang, Wenfei Wu:
Training Job Placement in Clusters with Statistical In-Network Aggregation. 420-434 - Shaohua Li, Zhendong Su:
UBFuzz: Finding Bugs in Sanitizer Implementations. 435-449 - Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding:
ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. 450-464
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