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ORCIDACM Transactions on Architecture and Code Optimization, Volume 22
Volume 22, Number 1, March 2025
- Perry Gibson
, José Cano, Elliot Crowley, Amos J. Storkey, Michael F. P. O'Boyle:
DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration. 1:1-1:28 - Xinbiao Gan:
GraphService: Topology-aware Constructor for Large-scale Graph Applications. 2:1-2:24 - Renjun Zhang, Tianming Zhang, Zinuo Cai, Dongmei Li, Ruhui Ma, Rajkumar Buyya:
MemoriaNova: Optimizing Memory-Aware Model Inference for Edge Computing. 3:1-3:25 - Andrea Lepori, Alexandru Calotoiu, Torsten Hoefler:
Iterating Pointers: Enabling Static Analysis for Loop-based Pointers. 4:1-4:25 - Viktor Razilov, Ipek Geçin, Emil Matús, Gerhard P. Fettweis:
Conflict Management in Vector Register Files. 5:1-5:19 - Jingle Xu, Jiayu Fu, Lin Gan, Yaojian Chen, Zhaoqi Sun, Zhenchun Huang, Guangwen Yang:
Leveraging the Hardware Resources to Accelerate cryo-EM Reconstruction of RELION on the New Sunway Supercomputer. 6:1-6:25 - Yuta Saito, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa:
Multiple Function Merging for Code Size Reduction. 7:1-7:26 - Peihua Zhang, Chenggang Wu, Hanzhi Hu, Lichen Jia, Mingfan Peng, Jiali Xu, Mengyao Xie, Yuanming Lai, Yan Kang, Zhe Wang:
Shining Light on the Inter-procedural Code Obfuscation: Keep Pace with Progress in Binary Diffing. 8:1-8:28 - Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui Fan:
Characterizing and Understanding HGNN Training on GPUs. 9:1-9:25 - Jingyu Wang, Ruilong Ma, Xiang Yang, Qi Qi, Zirui Zhuang, Jing Wang, Jianxin Liao, Song Guo:
DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster. 10:1-10:26 - Chenghao Ouyang, Jinhan Xin, Siqi Zeng, Guohui Li, Jianjun Li, Zhibin Yu:
Constructing a Supplementary Benchmark Suite to Represent Android Applications with User Interactions by using Performance Counters. 11:1-11:28 - Xinglei Dou, Lei Liu, Limin Xiao:
An Intelligent Scheduling Approach on Mobile OS for Optimizing UI Smoothness and Power. 12:1-12:27 - Kwanghoon Choi, Igjae Kim, Sunho Lee, Jaehyuk Huh:
ShieldCXL: A Practical Obliviousness Support with Sealed CXL Memory. 13:1-13:25 - Yun Chen, Ali Hajiabadi, Romain Poussier, Yaswanth Tavva, Andreas Diavastos, Shivam Bhasin, Trevor E. Carlson:
PARADISE: Criticality-Aware Instruction Reordering for Power Attack Resistance. 14:1-14:25 - Chunfeng Li, Feng Shi, Fei Yin, Karim Soliman, Jin Wei:
A High Scalability Memory NoC with Shared-Inside Hierarchical-Groupings for Triplet-Based Many-Core Architecture. 15:1-15:26 - Jin Zhao, Yu Zhang, Donghao He, Qikun Li, Weihang Yin, Hui Yu, Hao Qi, Xiaofei Liao, Hai Jin, Haikun Liu, Linchen Yu, Zhan Zhang:
An Efficient ReRAM-based Accelerator for Asynchronous Iterative Graph Processing. 16:1-16:26 - Xinyu Li, Guangyao Guo, Yanzhi Lan, Feng Xue, Chenji Han, Gen Niu, Fuxin Zhang:
Tiaozhuan: A General and Efficient Indirect Branch Optimization for Binary Translation. 17:1-17:26 - Jianhua Gao, Zeming Liu, Yizhuo Wang, Weixing Ji:
RaNAS: Resource-Aware Neural Architecture Search for Edge Computing. 18:1-18:18 - Adnan Hasnat, Shoaib Akram:
SPIRIT: Scalable and Persistent In-Memory Indices for Real-Time Search. 19:1-19:26 - Dezhong Yao, Sifan Zhao, Tongtong Liu, Gang Wu, Hai Jin:
ApSpGEMM: Accelerating Large-scale SpGEMM with Heterogeneous Collaboration and Adaptive Panel. 20:1-20:23 - Weiduo Chen, Xiaoshe Dong, Fan Zhang, Bowen Li, Yufei Wang, Qiang Wang:
ATP: Achieving Throughput Peak for DNN Training via Smart GPU Memory Management. 21:1-21:27 - Zhuoran Song, Jiabei Long, Li Jiang, Naifeng Jing, Xiaoyao Liang:
GCNTrain+: A Versatile and Efficient Accelerator for Graph Convolutional Neural Network Training. 22:1-22:22 - Wenjie Qi, Zhipeng Tan, Ziyue Zhang, Ying Yuan, Dan Feng:
exZNS: Extending Zoned Namespace to Support Byte-loggable Zones. 23:1-23:28 - Long Zheng, Bing Zhu, Pengcheng Yao, Yuhang Zhou, Chengao Pan, Wenju Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration. 24:1-24:27 - Yingshuai Dong, Chencheng Ye, Haikun Liu, Liting Tang, Xiaofei Liao, Hai Jin, Cheng Chen, Yanjiang Li, Yi Wang:
DTAP: Accelerating Strongly-Typed Programs with Data Type-Aware Hardware Prefetching. 25:1-25:25 - Xueliang Wei, Dan Feng, Wei Tong, Bing Wu, Xu Jiang:
COVER: Alleviating Crash-Consistency Error Amplification in Secure Persistent Memory Systems. 26:1-26:27 - Xinqi Chen, Erci Xu, Dengyao Mo, Ruiming Lu, Haonan Wu, Dian Ding, Guangtao Xue:
MasterPlan: A Reinforcement Learning Based Scheduler for Archive Storage. 27:1-27:25 - Brandon Kammerdiener, J. Zach McMichael, Michael R. Jantz, Kshitij A. Doshi, Terry R. Jones:
Flexible and Effective Object Tiering for Heterogeneous Memory Systems. 28:1-28:24 - Zhiqiang Chen, Yongwen Wang, Hongwei Zhou, Jian Zhang:
Steered Bubble: An Interposer-based Deadlock Recovery Algorithm for Multi-chiplet Systems. 29:1-29:24 - Shruthi Karunakar, Rajshekar Kalayappan, Sandeep Chandran:
Consequence-based Clustered Architecture. 30:1-30:25 - Jiahui Yang, Fulin Nan, Zhirong Shen, Zhisheng Chen, Yuhui Cai, Dmitrii I. Kaplun, Xiaoli Wang, Quanqing Xu, Chuanhui Yang, Jiwu Shu:
TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems. 31:1-31:25 - Jianrong Yan, Wenbin Jiang, Dongao He, Suyang Wen, Yang Li, Hai Jin, Zhiyuan Shao:
RT-GNN: Accelerating Sparse Graph Neural Networks by Tensor-CUDA Kernel Fusion. 32:1-32:27 - Yi Dai, Kai Lu, Sheng Ma, Jinshu Su, Dongsheng Li:
Bubble-Swap Flow Control. 33:1-33:26 - Dongjie Tang, Zijun Wu, Yun Wang, Yicheng Gu, Fangxin Liu, Zhengwei Qi:
gCom: Fine-grained Compressors in Graphics Memory of Mobile GPU. 34:1-34:25 - Ruixing Zong, Jiapeng Zhang, Zhuo Tang, Kenli Li:
IBing: An Efficient Interleaved Bidirectional Ring All-Reduce Algorithm for Gradient Synchronization. 35:1-35:23 - Quancheng Wang, Ming Tang, Ke Xu, Han Wang:
Unveiling and Evaluating Vulnerabilities in Branch Predictors via a Three-Step Modeling Methodology. 36:1-36:26 - Pengyu Yang, Weihao Cui, Chunyu Xue, Han Zhao, Chen Chen, Quan Chen, Jing Yang, Minyi Guo:
Taming Flexible Job Packing in Deep Learning Training Clusters. 37:1-37:24 - Zhenlin Wu, Haosong Zhao, Hongyuan Liu, Wujie Wen, Jiajia Li:
gHyPart: GPU-friendly End-to-End Hypergraph Partitioner. 38:1-38:25 - Mariano Benito, Enrique Vallejo, Ramón Beivide:
LIA: Latency-Improved Adaptive routing for Dragonfly networks. 39:1-39:26 - Yiming Gan, Jingwen Leng, Bo Yu, Yuhao Zhu:
KINDRED: Heterogeneous Split-Lock Architecture for Safe Autonomous Machines. 40:1-40:25 - Tzung-Han Juang, Christophe Dubach:
Maximizing Data and Hardware Reuse for HLS with Early-Stage Symbolic Partitioning. 41:1-41:26 - Cheng Xu, Chao Li, Xiaofeng Hou, Junyi Mei, Jing Wang, Pengyu Wang, Shixuan Sun, Minyi Guo, Baoping Hao:
Enhancing High-Throughput GPU Random Walks Through Multi-Task Concurrency Orchestration. 42:1-42:26 - Qiong Chang, Weimin Wang, Jun Miyazaki:
Accelerating Nearest Neighbor Search in 3D Point Cloud Registration on GPUs. 43:1-43:24 - Yekang Zhan, Xiangrui Yang, Haichuan Hu, Qiang Cao, Yifan Zhang, Jie Yao:
AIS: An Active Idleness I/O Scheduler to Reduce Buffer-Exhausted Degradation of Solid-State Drives. 44:1-44:26 - Coby Soss, Aravind Sukumaran-Rajam, Janet Layne, Edoardo Serra, Mahantesh Halappanavar, Assefaw H. Gebremedhin:
ScaWL: Scaling k-WL (Weisfeiler-Lehman) Algorithms in Memory and Performance on Shared and Distributed-Memory Systems. 45:1-45:25
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