ASPLOS (4)

Publications

2023

Alexander J. Root, Maaz Bin Safeer Ahmad, Dillon Sharlet, Andrew Adams, Shoaib Kamil, Jonathan Ragan-Kelley
Fast Instruction Selection for Fast Digital Signal Processing. ASPLOS (4) (2023)
Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. ASPLOS (4) (2023)
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023 ASPLOS (4) (2023)
Srikant Bharadwaj, Shomit Das, Kaushik Mazumdar, Bradford M. Beckmann, Stephen Kosonocky
Predict; Don't React for Enabling Efficient Fine-Grain DVFS in GPUs. ASPLOS (4) (2023)
Yingjie Li, Ruiyang Chen, Minhan Lou, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu
LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks. ASPLOS (4) (2023)
Yanan Yang, Laiping Zhao, Yiming Li, Shihao Wu, Yuechan Hao, Yuchi Ma, Keqiu Li
Flame: A Centralized Cache Controller for Serverless Computing. ASPLOS (4) (2023)
Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das, Kaitlin N. Smith, Jonathan Mark Baker, Frederic T. Chong
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms. ASPLOS (4) (2023)
Yu Gan, Guiyang Liu, Xin Zhang, Qi Zhou, Jiesheng Wu, Jiangwei Jiang
Sleuth: A Trace-Based Root Cause Analysis System for Large-Scale Microservices with Graph Neural Networks. ASPLOS (4) (2023)
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. ASPLOS (4) (2023)
Yuwei Jin, Fei Hua, Yan-Hao Chen, Ari B. Hayes, Chi Zhang, Eddy Z. Zhang
Exploiting the Regular Structure of Modern Quantum Architectures for Compiling and Optimizing Programs with Permutable Operators. ASPLOS (4) (2023)
Benjamin Carver, Runzhou Han, Jingyuan Zhang, Mai Zheng, Yue Cheng
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. ASPLOS (4) (2023)
Michael D. Moffitt
MiniMalloc: A Lightweight Memory Allocator for Hardware-Accelerated Machine Learning. ASPLOS (4) (2023)
Kingshuk Majumder, Uday Bondhugula
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description. ASPLOS (4) (2023)
Mateusz Gienieczko, Filip Murlak, Charles Paperman
Supporting Descendants in SIMD-Accelerated JSONPath. ASPLOS (4) (2023)
Puzhuo Liu, Yaowen Zheng, Chengnian Sun, Chuan Qin, Dongliang Fang, Mingdong Liu, Limin Sun
FITS: Inferring Intermediate Taint Sources for Effective Vulnerability Analysis of IoT Device Firmware. ASPLOS (4) (2023)
Zijun Li, Chuhao Xu, Quan Chen, Jieru Zhao, Chen Chen, Minyi Guo
DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration. ASPLOS (4) (2023)
Adil Ahmad, Botong Ou, Congyu Liu, Xiaokuan Zhang, Pedro Fonseca
Veil: A Protected Services Framework for Confidential Virtual Machines. ASPLOS (4) (2023)
Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li
ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices. ASPLOS (4) (2023)
Soumyakant Priyadarshan, Huan Nguyen, R. Sekar
Accurate Disassembly of Complex Binaries Without Use of Compiler Metadata. ASPLOS (4) (2023)
Mahyar Emami, Sahand Kashani, Keisuke Kamahori, Mohammad Sepehr Pourghannad, Ritik Raj, James R. Larus
Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism. ASPLOS (4) (2023)
Yuxuan Liu, Tianqiang Xu, Zeyu Mi, Zhichao Hua, Binyu Zang, Haibo Chen
CPS: A Cooperative Para-virtualized Scheduling Framework for Manycore Machines. ASPLOS (4) (2023)
Ali Ahad, Gang Wang, Chung Hwan Kim, Suman Jana, Zhiqiang Lin, Yonghwi Kwon
FreePart: Hardening Data Processing Software via Framework-based Partitioning and Isolation. ASPLOS (4) (2023)
Shail Dave, Tony Nowatzki, Aviral Shrivastava
Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis. ASPLOS (4) (2023)
Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. ASPLOS (4) (2023)