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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
Volume 22, Number 2, June 2025
- Yiming Wang, Weizhe Zhang, Meng Hao, Weizhi Kong, Yuan Wen:
Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems. 46:1-46:23 - Xinyuan Wang, Xingchen Li, Yun Peng, Hejiao Huang:
Comprehensive Evaluation and Opportunity Discovery for Deterministic Concurrency Control. 47:1-47:24 - Théophile Bastian, Hugo Pompougnac, Alban Dutilleul, Fabrice Rastello:
CesASMe and Staticdeps: static detection of memory-carried dependencies for code analyzers. 48:1-48:23 - Fuyu Wang, Minghua Shen, Yutong Lu, Nong Xiao:
Ceiba: An Efficient and Scalable DNN Scheduler for Spatial Accelerators. 49:1-49:23 - Kelun Lei, Shaokang Du, Xin You, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian:
Exploiting Dynamic Regular Patterns in Irregular Programs for Efficient Vectorization. 50:1-50:25 - Xueying Wang, Shigang Li, Hao Qian, Fan Luo, Zhaoyang Hao, Tong Wu, Ruiyuan Xu, Huimin Cui, Xiaobing Feng, Guangli Li, Jingling Xue:
OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs. 51:1-51:27 - Yifu He, Han Zhao, Weihao Cui, Shulai Zhang, Quan Chen, Minyi Guo:
ARACHNE: Optimizing Distributed Parallel Applications with Reduced Inter-Process Communication. 52:1-52:26 - Kailin Yang, José F. Martínez:
VersaTile: Flexible Tiled Architectures via Associative Processors. 53:1-53:26 - Changqing Shi, Yufei Sun, Rui Chen, Jiahao Wang, Qiang Guo, Chunye Gong, Yicheng Sui, Yutong Jin, Yuzhi Zhang:
TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework. 54:1-54:24 - Zhibo Xuan, Xin You, Tianyu Feng, Hailong Yang, Zhongzhi Luan, Yi Liu, Depei Qian:
SimTrace: Exploiting Spatial and Temporal Sampling for Large-Scale Performance Analysis. 55:1-55:26 - Congyong Chen, Shengan Zheng, Yuhang Zhang, Linpeng Huang:
FusionFS: A Contention-Resilient File System for Persistent CPU Caches. 56:1-56:23 - Jingcheng Shen, Lang Yang, Linbo Long, Zhenhua Tan, Congming Gao, Kan Zhong, Masao Okita, Fumihiko Ino:
Overlapping Aware Data Placement Optimizations for LSM Tree-Based Store on ZNS SSDs. 57:1-57:25 - Minghua Shen, Aoxiang Qin, Nong Xiao:
ODGS: Dependency-Aware Scheduling for High-Level Synthesis with Graph Neural Network and Reinforcement Learning. 58:1-58:25 - Gaoyang Zhao, Qiuran Li, Rongzhen Lin, Yaohua Wang:
Shift-CIM: In-SRAM Alignment To Support General-Purpose Bit-level Sparsity Exploration in SRAM Multiplication. 59:1-59:25 - Xin Cheng, Jinpeng Ye, Haoyu Deng, Tingting Zhang, Tianyi Liu, Jian Wang:
LitTLS: Lightweight Thread-Level Speculation on Little Cores. 60:1-60:27 - Chaoyang Jia, Jingyu Liu, Shi Chen, Kai Lu, Li Shen:
TSN Cache: Exploiting Data Localities in Graph Computing Applications. 61:1-61:26 - Shantian Qin, Zhihua Fan, Wenming Li, Zhen Wang, Xuejun An, Xiaochun Ye, Dongrui Fan:
PANDA: Adaptive Prefetching and Decentralized Scheduling for Dataflow Architectures. 62:1-62:27 - Yu Tang, Lujia Yin, Qiao Li, Hongyu Zhu, Hengjie Li, Xingcheng Zhang, Linbo Qiao, Dongsheng Li, Jiaxin Li:
Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language. 63:1-63:25 - Yuting Li, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang:
A Lock-free RDMA-friendly Index in CPU-parsimonious Environments. 64:1-64:25 - Xueliang Wei, Dan Feng, Wei Tong, Bing Wu, Xu Jiang:
SEED: Speculative Security Metadata Updates for Low-Latency Secure Memory. 65:1-65:27 - Xiaobo Lu, Jianbin Fang, Lin Peng, Chun Huang, Zixiao Yu, Tiejun Li:
Gator: Accelerating Graph Attention Networks by Jointly Optimizing Attention and Graph Processing. 66:1-66:24 - Yacine Hakimi, Riyadh Baghdadi, Yacine Challal:
Supporting Dynamic Program Sizes in Deep Learning-Based Cost Models for Code Optimization. 67:1-67:25 - Yicheng Wang, Lijie Xu, Tian Guo, Wensheng Dou, Hongbin Zeng, Wei Wang, Jun Wei, Tao Huang:
BridgeGC: An Efficient Cross-Level Garbage Collector for Big Data Frameworks. 68:1-68:27 - Zhen Du, Ying Liu, Ninghui Sun, Huimin Cui, Xiaobing Feng, Jiajia Li:
SRSparse: Generating Codes for High-Performance Sparse Matrix-Vector Semiring Computations. 69:1-69:26 - Chenji Han, Zifei Zhang, Feng Xue, Xinyu Li, Yuxuan Wu, Tingting Zhang, Tianyi Liu, Qi Guo, Fuxin Zhang:
SnsBooster: Enhancing Sampling-based μArch Evaluation Efficiency through Online Performance Sensitivity Analysis. 70:1-70:27 - Amit Tiwari, V. Krishna Nandivada:
Unleashing Parallelism with Elastic-Barriers. 71:1-71:26 - Gia Bao Thieu, Sven Gesper, Guillermo Payá-Vayá:
DCMA: Accelerating Parallel DMA Transfers with a Multi-Port Direct Cached Memory Access in a Massive-Parallel Vector Processor. 72:1-72:25 - Aurélie Saulquin, Mazdak Fatahi, Pierre Boulet, Samy Meftali:
ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence. 73:1-73:24 - Zhengding Hu, Jingwei Sun, Guangzhong Sun:
GNNPilot: A Holistic Framework for High-Performance Graph Neural Network Computations on GPUs. 74:1-74:26 - Jinghao Zhao, Hongwei Yang, Meng Hao, Weizhe Zhang, Hui He, Desheng Wang:
HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption. 75:1-75:23 - Wen Cheng, Qianya Cheng, Yi Liu, Lingfang Zeng, André Brinkmann, Yang Wang:
9Ring: A 3D-Stacked Memory-Based Accelerator for Flexible and Efficient Deep CNN Applications. 76:1-76:26 - Cunchen Hu, Heyang Huang, Liangliang Xu, Xusheng Chen, Chenxi Wang, Jiang Xu, Shuang Chen, Hao Feng, Sa Wang, Yungang Bao, Ninghui Sun, Yizhou Shan:
ShuffleInfer: Disaggregate LLM Inference for Mixed Downstream Workloads. 77:1-77:24 - Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
GOLDYLOC: Global Optimizations & Lightweight Dynamic Logic for Concurrency. 78:1-78:28 - Yi Zhang, Xiaomeng Yi, Yu Huang, Jingrui Yuan, Chuangyi Gui, Dan Chen, Long Zheng, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue:
Cheetah: Accelerating Dynamic Graph Mining with Grouping Updates. 79:1-79:26 - Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Francky Catthoor, Dimitrios Soudris:
Performance, Energy and NVM Lifetime-Aware Data Structure Refinement and Placement for Heterogeneous Memory Systems. 80:1-80:27 - Farui Wang, Meng Hao, Siyu Yang, Weizhe Zhang:
Deep Learning Workload Mapping Optimization on Jetson Platforms. 81:1-81:23 - Wenlong Mu, Yue Tang, Bo Huang, Jianmei Guo:
AOBO: A Fast-Switching Online Binary Optimizer on AArch64. 82:1-82:27
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