ASPLOS 2023 – Proceedings

Results Reproduced Article: asplosc23main-p436-p doi:10.1145/3582016.3582036

Characterizing and Optimizing End-to-End Systems for Private Inference
Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, and Brandon Reagen
(New York University, USA; Purdue University, USA)

Results Reproduced Article: asplosc23main-p731-p doi:10.1145/3582016.3582065

Cohort: Software-Oriented Acceleration for Heterogeneous SoCs
Tianrui Wei, Nazerke Turtayeva, Marcelo Orenes-Vera, Omkar Lonkar, and Jonathan Balkind
(University of California at Berkeley, Berkeley, USA; University of California at Santa Barbara, Santa Barbara, USA; Princeton University, Princeton, USA)

Publisher's Version Article: asplosc23main-p494-p doi:10.1145/3582016.3582059

Coyote: A Compiler for Vectorizing Encrypted Arithmetic Circuits
Raghav Malik, Kabir Sheth, and Milind Kulkarni
(Purdue University, USA)

Results Reproduced Article: asplosc23main-p399-p doi:10.1145/3582016.3582057

DefT: Boosting Scalability of Deformable Convolution Operations on GPUs
Edward Hanson, Mark Horton, Hai (Helen) Li, and Yiran Chen
(Duke University, Durham, USA)

Publisher's Version Article: asplosc23main-p2-p doi:10.1145/3582016.3582017

Disaggregated RAID Storage in Modern Datacenters
Junyi Shu, Ruidong Zhu, Yun Ma, Gang Huang, Hong Mei, Xuanzhe Liu, and Xin Jin
(Peking University, China)

Results Reproduced Article: asplosc23main-p103-p doi:10.1145/3582016.3582027

DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications
Mao Lin, Keren Zhou, and Pengfei Su
(University of California at Merced, Merced, USA; OpenAI, USA)

Results Reproduced Article: asplosc23main-p7-p doi:10.1145/3582016.3582044

Efficient Compactions between Storage Tiers with PrismDB
Ashwini Raina, Jianan Lu, Asaf Cidon, and Michael J. Freedman
(Princeton University, USA; Columbia University, USA)

Results Reproduced Article: asplosc23main-p349-p doi:10.1145/3582016.3582052

Efficient Scheduler Live Update for Linux Kernel with Modularization
Teng Ma, Shanpei Chen, Yihao Wu, Erwei Deng, Zhuo Song, Quan Chen, and Minyi Guo
(Alibaba Group, China; Shanghai Jiao Tong University, China)

Artifacts Available Article: asplosc23main-p390-p doi:10.1145/3582016.3582054

eHDL: Turning eBPF/XDP Programs into Hardware Designs for the NIC
Alessandro Rivitti, Roberto Bifulco, Angelo Tulumello, Marco Bonola, and Salvatore Pontarelli
(Axbryd, Italy; University of Rome Tor Vergata, Italy; NEC Laboratories Europe, Germany; CNIT, Italy; Sapienza University of Rome, Italy)

Publisher's Version Article: asplosc23main-p404-p doi:10.1145/3582016.3582035

Exit-Less, Isolated, and Shared Access for Virtual Machines
Kenichi Yasukata, Hajime Tazaki, and Pierre-Louis Aublin
(IIJ Research Laboratory, Japan)

Publisher's Version Article: asplosc23main-p814-p doi:10.1145/3582016.3582042

Finding Unstable Code via Compiler-Driven Differential Testing
Shaohua Li and Zhendong Su
(ETH Zurich, Switzerland)

Results Reproduced Article: asplosc23main-p364-p doi:10.1145/3582016.3582053

Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing
Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, and Tushar Krishna
(Universidad de Murcia, Spain; Georgia Institute of Technology, USA; NVIDIA, USA)

Publisher's Version Article: asplosc23main-p1166-p doi:10.1145/3582016.3582069

Going beyond the Limits of SFI: Flexible and Secure Hardware-Assisted In-Process Isolation with HFI
Shravan Narayan, Tal Garfinkel, Mohammadkazem Taram, Joey Rudek, Daniel Moghimi, Evan Johnson, Chris Fallin, Anjo Vahldiek-Oberwagner, Michael LeMay, Ravi Sahita, Dean Tullsen, and Deian Stefan
(University of California at San Diego, San Diego, USA; University of Texas at Austin, Austin, USA; Purdue University, USA; Fastly, USA; Intel Labs, Germany; Intel Labs, USA; Rivos, USA)

Publisher's Version Article: asplosc23main-p59-p doi:10.1145/3582016.3582023

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference
Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati
(University of Michigan, USA; Technion, Israel)

Results Reproduced Article: asplosc23main-p192-p doi:10.1145/3582016.3582029

Graphene: An IR for Optimized Tensor Computations on GPUs
Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, and Vinod Grover
(NVIDIA, Germany; NVIDIA, USA)

Publisher's Version Article: asplosc23main-p18-p doi:10.1145/3582016.3582018

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators
Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, and Tianshi Chen
(University of Science and Technology of China, China; Institute of Computing Technology at Chinese Academy of Sciences, China; Cambricon Technologies, China; Institute of Software at Chinese Academy of Sciences, China)

Artifacts Functional Article: asplosc23main-p562-p doi:10.1145/3582016.3582061

Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, and Kunle Olukotun
(Stanford University, USA; Purdue University, USA; Lund University, Sweden)

Results Reproduced Article: asplosc23main-p57-p doi:10.1145/3582016.3582022

Hyperscale Hardware Optimized Neural Architecture Search
Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, and Norman P. Jouppi
(Google, USA; Apple, USA; Waymo, USA)

Publisher's Version Article: asplosc23main-p248-p doi:10.1145/3582016.3582049

Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion
Zhengrong Wang, Christopher Liu, Aman Arora, Lizy John, and Tony Nowatzki
(University of California at Los Angeles, Los Angeles, USA; University of Texas at Austin, Austin, USA)

Publisher's Version Article: asplosc23main-p284-p doi:10.1145/3582016.3582032

In-Network Aggregation with Transport Transparency for Distributed Training
Shuo Liu, Qiaoling Wang, Junyi Zhang, Wenfei Wu, Qinliang Lin, Yao Liu, Meng Xu, Marco Canini, Ray C. C. Cheung, and Jianfei He
(Huawei Technologies, China; Peking University, China; Sun Yat-sen University, China; King Abdullah University of Science and Technology, Saudi Arabia; City University of Hong Kong, China)

Publisher's Version Article: asplosc23main-p476-p doi:10.1145/3582016.3582037

Kodan: Addressing the Computational Bottleneck in Space
Bradley Denby, Krishna Chintalapudi, Ranveer Chandra, Brandon Lucia, and Shadi Noghabi
(Carnegie Mellon University, USA; Microsoft Research, USA)

Publisher's Version Article: asplosc23main-p858-p doi:10.1145/3582016.3582043

LEGO: Empowering Chip-Level Functionality Plug-and-Play for Next-Generation IoT Devices
Chong Zhang, Songfan Li, Yihang Song, Qianhe Meng, Minghua Chen, YanXu Bai, Li Lu, and Hongzi Zhu
(University of Electronic Science and Technology of China, China; Shanghai Jiao Tong University, China)

Publisher's Version Article: asplosc23main-p310-p doi:10.1145/3582016.3582050

Mapping Very Large Scale Spiking Neuron Network to Neuromorphic Hardware
Ouwen Jin, Qinghui Xing, Ying Li, Shuiguang Deng, Shuibing He, and Gang Pan
(Zhejiang University, China)

Publisher's Version Article: asplosc23main-p490-p doi:10.1145/3582016.3582038

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, and Donald E. Porter
(Rutgers University, USA; University of North Carolina at Chapel Hill, USA; Massachusetts Institute of Technology, USA; Carnegie Mellon University, USA; Yale University, USA; Stony Brook University, USA; VMware Research, USA; Meta, USA)

Results Reproduced Article: asplosc23main-p49-p doi:10.1145/3582016.3582021

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, and Carole-Jean Wu
(Harvard University, USA; Meta AI, USA)

Publisher's Version Article: asplosc23main-p1074-p doi:10.1145/3582016.3582068

NosWalker: A Decoupled Architecture for Out-of-Core Random Walk Processing
Shuke Wang, Mingxing Zhang, Ke Yang, Kang Chen, Shaonan Ma, Jinlei Jiang, and Yongwei Wu
(Tsinghua University, China; Beijing HaiZhi XingTu Technology, China)

Publisher's Version Article: asplosc23main-p85-p doi:10.1145/3582016.3582025

Occamy: Elastically Sharing a SIMD Co-processor across Multiple CPU Cores
Zhongcheng Zhang, Yan Ou, Ying Liu, Chenxi Wang, Yongbin Zhou, Xiaoyu Wang, Yuyang Zhang, Yucheng Ouyang, Jiahao Shan, Ying Wang, Jingling Xue, Huimin Cui, and Xiaobing Feng
(Institute of Computing Technology at Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China; HiSilicon Technologies, China; UNSW, Sydney, Australia)

Publisher's Version Article: asplosc23main-p110-p doi:10.1145/3582016.3582046

Persistent Memory Disaggregation for Cloud-Native Relational Databases
Chaoyi Ruan, Yingqiang Zhang, Chao Bi, Xiaosong Ma, Hao Chen, Feifei Li, Xinjun Yang, Cheng Li, Ashraf Aboulnaga, and Yinlong Xu
(University of Science and Technology of China, China; Alibaba Group, China; Qatar Computing Research Institute, Qatar; Hamad Bin Khalifa University, Qatar)

Publisher's Version Article: asplosc23main-p396-p doi:10.1145/3582016.3582055

PipeSynth: Automated Synthesis of Microarchitectural Axioms for Memory Consistency
Chase Norman, Adwait Godbole, and Yatin A. Manerkar
(University of California at Berkeley, Berkeley, USA; University of Michigan, USA)