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检索条件"机构=Research Lab. on Design and Testing of Computer Hardware"
3 条 记 录,以下是1-10 订阅
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Exhaustive and near-exhaustive memory testing techniques and their BIST implementations
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JOURNAL OF ELECTRONIC testing-THEORY AND APPLICATIONS 1997年 第3期10卷 215-229页
作者: Das, D Karpovsky, M Research Lab. on Design and Testing of Computer Hardware Boston University Boston
In this work we investigate the problem of detection and location of single and unlinked multiple k-coupling faults in n x 1 random-access memories (RAMs). This fault model covers all crosstalks between any k cells in... 详细信息
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Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
arXiv
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arXiv 2025年
作者: Zhu, Yan Zhu, Jingyang Wang, Ting Shi, Yuanming Jiang, Chunxiao Letaief, Khaled Ben MoE Engineering Research-Center of Software/Hardware Co-design Technology and Application The Shanghai Key Lab. of Trustworthy Computing East China Normal University Shanghai200062 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong
Advancements in artificial intelligence (AI) and low-earth orbit (LEO) satellites have promoted the application of large remote sensing foundation models for various downstream tasks. However, direct downloading of th... 详细信息
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Towards Efficient Workflow Scheduling Over Yarn Cluster Using Deep Reinforcement Learning
Towards Efficient Workflow Scheduling Over Yarn Cluster Usin...
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IEEE Conference on Global Communications (GLOBECOM)
作者: Jianguo Xue Ting Wang Puyu Cai MoE Engineering Research Center of Software/Hardware Co-design Technology and Application Shanghai Key Lab. of Trustworthy Computing East China Normal University China Department of Computer Science and Engineering Michigan State University USA
Hadoop Yarn is an open-source cluster manager responsible for resource management and job scheduling. However, data-driven applications are typically organized into workflows that consist of a series of jobs with depe...
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