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ORCIDASPLOS 2023: Vancouver, BC, Canada
- Tor M. Aamodt, Natalie D. Enright Jerger, Michael M. Swift:
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023. ACM 2023, ISBN 978-1-4503-9916-6 - Hongtao Chen, Mingxing Zhang, Ke Yang, Kang Chen, Albert Y. Zomaya, Yongwei Wu, Xuehai Qian:
Achieving Sub-second Pairwise Query over Evolving Graphs. 1-15 - Yun Chen
, Lingfeng Pei, Trevor E. Carlson:
AfterImage: Leaking Control Flow Data and Tracking Load Operations via the Hardware Prefetcher. 16-32 - Yongchao He, Wenfei Wu, Yanfang Le, Ming Liu, ChonLam Lao:
A Generic Service to Provide In-Network Aggregation for Key-Value Streams. 33-47 - Zhizhou Zhang, Alvin Oliver Glova, Timothy Sherwood, Jonathan Balkind:
A Prediction System Service. 48-60 - Martin Beck, Koustubha Bhat, Lazar Stricevic, Geng Chen, Diogo Behrens, Ming Fu, Viktor Vafeiadis, Haibo Chen, Hermann Härtig:
AtoMig: Automatically Migrating Millions Lines of Code from TSO to WMM. 61-73 - Ziming Zhao, Mingyu Wu, Jiawei Tang, Binyu Zang, Zhaoguo Wang, Haibo Chen:
BeeHive: Sub-second Elasticity for Web Services with Semi-FaaS Execution. 74-87 - Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi, Sophia Fuhui Lin, Ali Javadi-Abhari, Massoud Pedram, Frederic T. Chong:
Better Than Worst-Case Decoding for Quantum Error Correction. 88-102 - Shuangyan Yang, Minjia Zhang, Wenqian Dong, Dong Li:
Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning. 103-117 - Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu:
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. 118-132 - Mahbod Afarin, Chao Gao, Shafiur Rahman, Nael B. Abu-Ghazaleh, Rajiv Gupta:
CommonGraph: Graph Analytics on Evolving Data. 133-145 - Theodore Luo Wang, Yongqiang Tian, Yiwen Dong, Zhenyang Xu, Chengnian Sun:
Compilation Consistency Modulo Debug Information. 146-158 - A. Finn Hackett, Shayan Hosseini, Renato Costa, Matthew Do, Ivan Beschastnikh:
Compiling Distributed System Models with PGo. 159-175 - David Hildenbrand, Martin Schulz, Nadav Amit:
Copy-on-Pin: The Missing Piece for Correct Copy-on-Write. 176-191 - Chris Porter, Sharjeel Khan, Santosh Pande:
Decker: Attack Surface Reduction via On-Demand Code Mapping. 192-206 - Jaehoon Jung, Jinpyo Kim, Jaejin Lee:
DeepUM: Tensor Migration and Prefetching in Unified Memory. 207-221 - Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou:
Ditto: End-to-End Application Cloning for Networked Cloud Services. 222-236 - Yizhao Gao, Baoheng Zhang, Xiaojuan Qi, Hayden Kwok-Hay So:
DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design. 237-251 - Abel Souza, Noman Bashir, Jorge Murillo, Walid A. Hanafy, Qianlin Liang, David E. Irwin, Prashant J. Shenoy:
Ecovisor: A Virtual Energy System for Carbon-Efficient Applications. 252-265 - Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu:
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. 266-280 - Daniar Heri Kurniawan, Ruipu Wang, Kahfi S. Zulkifli, Fandi A. Wiranata, John Bent, Ymir Vigfusson, Haryadi S. Gunawi:
EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems. 281-294 - Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna:
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. 295-310 - Ramin Ayanzadeh, Narges Alavisamani, Poulami Das, Moinuddin K. Qureshi:
FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes. 311-324 - Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu:
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. 325-339 - Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma, Hai Jin, Haozhao Kuang, Mingyu Gao, Ye Zhang, Haichen Shen, Weifang Hu:
GZKP: A GPU Accelerated Zero-Knowledge Proof System. 340-353 - Haocheng Xiao, Sam Ainsworth:
Hacky Racers: Exploiting Instruction-Level Parallelism to Generate Stealthy Fine-Grained Timers. 354-369 - Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko:
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. 370-384 - Dingqing Yang, Prashant J. Nair, Mieszko Lis:
HuffDuff: Stealing Pruned DNNs from Sparse Accelerators. 385-399 - Jennifer Switzer, Gabriel Marcano, Ryan Kastner, Pat Pannuto:
Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon. 400-412 - Jingji Chen, Xuehai Qian:
Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine. 413-426 - Congyu Liu, Sishuai Gong, Pedro Fonseca:
KIT: Testing OS-Level Virtualization for Functional Interference Bugs. 427-441 - Jinghan Sun, Shaobo Li, Yunxin Sun, Chao Sun, Dejan Vucinic, Jian Huang:
LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives. 442-456 - Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. 457-472 - Reese Levine, Tianhao Guo, Mingun Cho, Alan Baker, Raph Levien, David Neto, Andrew Quinn, Tyler Sorensen:
MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications. 473-488 - Yangyang Feng, Minhui Xie, Zijie Tian, Shuo Wang, Youyou Lu, Jiwu Shu:
Mobius: Fine Tuning Large-Scale Models on Commodity GPU Servers. 489-501 - Meghan Cowan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, Yifan Xiong:
MSCCLang: Microsoft Collective Communication Language. 502-514 - Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong:
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET. 515-529 - Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang:
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. 530-543 - Xia Zhao, Magnus Jahre, Yuhua Tang, Guangda Zhang, Lieven Eeckhout:
NUBA: Non-Uniform Bandwidth GPUs. 544-559 - Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee:
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. 560-573 - Huaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Stanko Novakovic, Monish Shah, Samir Rajadnya, Scott Lee, Ishwar Agarwal, Mark D. Hill, Marcus Fontoura, Ricardo Bianchini:
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. 574-587 - Yongju Song, Wook-Hee Kim, Sumit Kumar Monga, Changwoo Min, Young Ik Eom:
Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices. 588-602 - Mingyu Gao, Soham Chakraborty, Burcu Kulahcioglu Ozkan:
Probabilistic Concurrency Testing for Weak Memory Programs. 603-616 - Han Shen, Krzysztof Pszeniczny, Rahman Lavaee, Snehasish Kumar, Sriraman Tallam, Xinliang David Li:
Propeller: A Profile Guided, Relinking Optimizer for Warehouse-Scale Applications. 617-631 - Haochen Huang, Bingyu Shen, Li Zhong, Yuanyuan Zhou:
Protecting Data Integrity of Web Applications with Database Constraints Inferred from Application Code. 632-645 - Andrew Litteken, Lennart Maximilian Seifert, Jason Chadwick, Natalia Nottingham, Frederic T. Chong, Jonathan M. Baker:
Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed Radix Operations for Communication Reduction. 646-659 - Thomas Kim, Jekyeom Jeon, Nikhil Arora, Huaicheng Li, Michael Kaminsky, David G. Andersen, Gregory R. Ganger, George Amvrosiadis, Matias Bjørling:
RAIZN: Redundant Array of Independent Zoned Namespaces. 660-673 - Zhuohui Duan, Jiabo Yao, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
Revisiting Log-Structured Merging for KV Stores in Hybrid Memory Systems. 674-687 - Shweta Pandey, Aditya K. Kamath, Arkaprava Basu:
Scoped Buffered Persistency Model for GPUs. 688-701 - Sungsoo Han, Minseong Jang, Jeehoon Kang:
ShakeFlow: Functional Hardware Description with Latency-Insensitive Interface Combinators. 702-717 - Tian Zhao, Alexander Rucker, Kunle Olukotun:
Sigma: Compiling Einstein Summations to Locality-Aware Dataflow. 718-732 - Grigory Chirkov, David Wentzlaff:
SMAPPIC: Scalable Multi-FPGA Architecture Prototype Platform in the Cloud. 733-746 - Zhiyao Li, Jiaxiang Li, Taijie Chen, Dimin Niu, Hongzhong Zheng, Yuan Xie, Mingyu Gao:
Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow. 747-761 - Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin:
SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. 762-777 - Griffin Berlstein, Rachit Nigam, Christophe Gyurgyik, Adrian Sampson:
Stepwise Debugging for Hardware Accelerators. 778-790 - Liwei Guo, Wonkyo Choe, Felix Xiaozhu Lin:
STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining. 791-803 - Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen:
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. 804-817 - Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko:
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. 818-832 - Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang:
TLP: A Deep Learning-Based Cost Model for Tensor Program Tuning. 833-845 - Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, Bodun Hu, Aditya Akella, Christopher J. Rossbach:
Towards a Machine Learning-Assisted Kernel with LAKE. 846-861 - Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Antoine Murat, Athanasios Xygkis, Igor Zablotchi:
uBFT: Microsecond-Scale BFT using Disaggregated Memory. 862-877 - Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu:
uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. 878-891 - Xin You, Hailong Yang, Kelun Lei, Zhongzhi Luan, Depei Qian:
VClinic: A Portable and Efficient Framework for Fine-Grained Value Profilers. 892-904 - Ziqi Yuan, Siyu Hong, Rui Chang, Yajin Zhou, Wenbo Shen, Kui Ren:
VDom: Fast and Unlimited Virtual Domains on Multiple Architectures. 905-919 - Jaeyeon Won, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe:
WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program. 920-934 - Cristian Assaiante, Daniele Cono D'Elia, Giuseppe Antonio Di Luna, Leonardo Querzoni:
Where Did My Variable Go? Poking Holes in Incomplete Debug Information. 935-947
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