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16th Bench 2024: Guangzhou, China

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Weiwei Lin, Zhen Jia, Sascha Hunold, Guoxin Kang:
Benchmarking, Measuring, and Optimizing - 16th BenchCouncil International Symposium, Bench 2024, Guangzhou, China, December 4-6, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15519, Springer 2025, ISBN 978-981-96-5031-6
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Chaochong Zhang, Guohang Peng, Rongzu Li, Qingsong Zou:
LWMEval: Evaluating Large-Scale Neural Networks for Six-Hour Weather Nowcasting. 1-17
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Jiamin Lu, Hengquan Mei, Jingwei Sun, Guangzhong Sun:
DNN-Schedule: A Predictive Scheduler for Minimizing Interference of Co-located DNN Workload. 18-36
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Hailin He, Siyang Weng, Lingyang Zeng, Huidong Zhang, Rong Zhang, Peng Cai, Xuan Zhou, Quanqing Xu:
Benchmarking Distributed Transactional Database Systems. 37-53
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Yifan Wang, Qisong Shi, Xizi Chen, Xiaohui Peng:
Benchmarking Edge Computing Systems for Autonomous Vehicles via CAV Motifs. 54-69
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  - conf/bench/AhmadVF24
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Farzana Yasmin Ahmad, Vanamala Venkataswamy, Geoffrey C. Fox:
CaloBench: A Benchmark Study of Generative Models for Calorimeter Showers. 70-95
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Zikai Liao, Lei Zhang, Ziyang Zhou, Qingsong Zou:
StockNNEval: Evaluating Neural Network Methods for Predicting Stock Trend. 96-112
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Zhiwei Zhu, Wenrui Huang, Wei Wang:
StellarTop : An Integrated Multi-topic Dataset on GitHub Repositories. 113-126
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Simin Chen, Dong Li, Chenggang Wu, Jianfeng Zhan:
Evaluating Kernel Anti-Exploitation Capabilities: A Scalable and General Framework Based on Evaluatology. 127-143

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