- Lieven Eeckhout
:
FOCAL: A First-Order Carbon Model to Assess Processor Sustainability. ASPLOS (2) 2024: 401-415 - Tamar Eilam:
Harnessing the Power of Specialization for Sustainable Computing. ASPLOS (3) 2024: 3 - Ruibo Fan, Wei Wang, Xiaowen Chu:
DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores. ASPLOS (3) 2024: 253-267 - Hamid Farzaneh, João Paulo Cardoso de Lima, Mengyuan Li, Asif Ali Khan, Xiaobo Sharon Hu, Jerónimo Castrillón:
C4CAM: A Compiler for CAM-based In-memory Accelerators. ASPLOS (3) 2024: 164-177 - Erhu Feng, Dahu Feng, Dong Du, Yubin Xia, Wenbin Zheng, Siqi Zhao, Haibo Chen:
sIOPMP: Scalable and Efficient I/O Protection for TEEs. ASPLOS (2) 2024: 1061-1076 - 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: 450-464 - Nathaniel Wesley Filardo, Brett F. Gutstein, Jonathan Woodruff, Jessica Clarke, Peter Rugg, Brooks Davis, Mark Johnston, Robert M. Norton, David Chisnall, Simon W. Moore, Peter G. Neumann, Robert N. M. Watson:
Cornucopia Reloaded: Load Barriers for CHERI Heap Temporal Safety. ASPLOS (2) 2024: 251-268 - Michael Flanders, Reshabh K. Sharma, Alexandra E. Michael, Dan Grossman, David Kohlbrenner:
Avoiding Instruction-Centric Microarchitectural Timing Channels Via Binary-Code Transformations. ASPLOS (2) 2024: 120-136 - Ruihao Gao, Zhichun Li, Guangming Tan, Xueqi Li:
BeeZip: Towards An Organized and Scalable Architecture for Data Compression. ASPLOS (3) 2024: 133-148 - Shaleen Garg, Jian Zhang, Rekha Pitchumani, Manish Parashar, Bing Xie, Sudarsun Kannan:
CrossPrefetch: Accelerating I/O Prefetching for Modern Storage. ASPLOS (1) 2024: 102-116 - Tianao Ge, Tong Zhang, Hongyuan Liu:
ngAP: Non-blocking Large-scale Automata Processing on GPUs. ASPLOS (1) 2024: 268-285 - Soroush Ghodrati, Sean Kinzer, Hanyang Xu, Rohan Mahapatra, Yoonsung Kim, Byung Hoon Ahn, Dong Kai Wang, Lavanya Karthikeyan, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Hadi Esmaeilzadeh:
Tandem Processor: Grappling with Emerging Operators in Neural Networks. ASPLOS (2) 2024: 1165-1182 - Massimo Giordano, Rohan Doshi, Qianyun Lu, Boris Murmann:
TinyForge: A Design Space Exploration to Advance Energy and Silicon Area Trade-offs in tinyML Compute Architectures with Custom Latch Arrays. ASPLOS (3) 2024: 1033-1047 - Bhargav Reddy Godala, Sankara Prasad Ramesh, Gilles A. Pokam, Jared Stark, André Seznec, Dean M. Tullsen, David I. August:
PDIP: Priority Directed Instruction Prefetching. ASPLOS (2) 2024: 846-861 - Adwait Godbole, Kevin Cheang, Yatin A. Manerkar, Sanjit A. Seshia:
Lifting Micro-Update Models from RTL for Formal Security Analysis. ASPLOS (2) 2024: 631-648 - Rhys Gretsch, Peiyang Song, Advait Madhavan, Jeremy Lau, Timothy Sherwood:
Energy Efficient Convolutions with Temporal Arithmetic. ASPLOS (2) 2024: 354-368 - 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: 1-18 - Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo:
Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. ASPLOS (3) 2024: 416-430 - Rongxin Han, Jingyu Wang, Qi Qi, Haifeng Sun, Chaowei Xu, Zhaoyang Wan, Zirui Zhuang, Yichuan Yu, Jianxin Liao:
NetRen: Service Migration-Driven Network Renascence with Synthesizing Updated Configuration. ASPLOS (3) 2024: 708-721 - Walid A. Hanafy, Qianlin Liang, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions. ASPLOS (3) 2024: 479-496 - Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu:
ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. ASPLOS (2) 2024: 813-829 - Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. ASPLOS (3) 2024: 722-737 - Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia:
Optimal Kernel Orchestration for Tensor Programs with Korch. ASPLOS (3) 2024: 755-769 - Hongming Huang, Peng Wang, Qiang Su, Hong Xu, Chun Jason Xue, André Brinkmann:
Palantir: Hierarchical Similarity Detection for Post-Deduplication Delta Compression. ASPLOS (2) 2024: 830-845 - Jiacheng Huang, Yunmo Zhang, Junqiao Qiu, Yu Liang, Rachata Ausavarungnirun, Qingan Li, Chun Jason Xue:
More Apps, Faster Hot-Launch on Mobile Devices via Fore/Background-aware GC-Swap Co-design. ASPLOS (3) 2024: 654-670 - Mohannad Ismail, Christopher Jelesnianski, Yeongjin Jang, Changwoo Min, Wenjie Xiong:
Enforcing C/C++ Type and Scope at Runtime for Control-Flow and Data-Flow Integrity. ASPLOS (3) 2024: 283-300 - Akanksha Jain, Hannah Lin, Carlos Villavieja, Baris Kasikci, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan:
Limoncello: Prefetchers for Scale. ASPLOS (3) 2024: 577-590 - Seyed Ali Jokar Jandaghi, Kaveh Mahdaviani, Amirhossein Mirhosseini, Sameh Elnikety, Cristiana Amza, Bianca Schroeder:
AUDIBLE: A Convolution-Based Resource Allocator for Oversubscribing Burstable Virtual Machines. ASPLOS (3) 2024: 119-132 - Zhuoran Ji, Zhiyuan Zhang, Jiming Xu, Lei Ju:
Accelerating Multi-Scalar Multiplication for Efficient Zero Knowledge Proofs with Multi-GPU Systems. ASPLOS (3) 2024: 57-70 - Lin Jia, James Patrick Mcmahon, Sumanth Gudaparthi, Shreyas Singh, Rajeev Balasubramonian:
PATHFINDER: Practical Real-Time Learning for Data Prefetching. ASPLOS (3) 2024: 785-800
