As the widening gap between GPU computing capability and other components (CPU, PCIe bus and communication network), it’s increasingly challenging to design high performance parallel algorithms for large CPU-GPU hete...
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In this paper, we partly determine the cycle structure of two types of Nonlinear feedback shift registers(NFSRs). Based on these results, the cycle structure of a class of NFSRs with symmetric feedback functions can b...
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In this paper, we partly determine the cycle structure of two types of Nonlinear feedback shift registers(NFSRs). Based on these results, the cycle structure of a class of NFSRs with symmetric feedback functions can be completely characterized. Furthermore, an alternative proof of Kjeldsen’s results is presented. Compared with the original proof based on abstract algebra theory, ours is straightforward and easy to understand.
DRAM access traces (i.e., off-chip memory references) can be extremely valuable for the design of memory subsystems and performance tuning of software. Hardware snooping on the off-chip memory interface is an effectiv...
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Physical Unclonable Function (PUF) has broad application prospects in the field of hardware security. If faults happen in PUF during manufacturing, the security of whole chip will be threatened. Fault diagnosis plays ...
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During the improved process of hardware technology and program optimization in the high-performance computer (HPC), the overall computing ability of supercomputer increases correspondingly. As a large-scale system and...
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Job scheduling is crucial in high-performance computing (HPC), which is dedicated to deciding when and which jobs are allocated to the system and placing the jobs on which resources, by considering multiple scheduling...
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Cloud computing is a new computing model. The resource monitoring tools are immature compared to traditional distributed computing and grid computing. In order to better monitor the virtual resource in cloud computing...
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Cloud computing is a new computing model. The resource monitoring tools are immature compared to traditional distributed computing and grid computing. In order to better monitor the virtual resource in cloud computing, a periodically and event-driven push (PEP) monitoring model is proposed. Taking advantage of the push and event-driven mechanism, the model can provide comparatively adequate information about usage and status of the resources. It can simplify the communication between Master and Work Nodes without missing the important issues happened during the push interval. Besides, we develop "mon" to make up for the deficiency of Libvirt in monitoring of virtual CPU and memory.
As a decentralized machine learning paradigm, Federated Learning (FL) is an emerging technique to protect user data privacy in Mobile Edge computing (MEC). FL adopts the idea of distributed privacy computing, enabling...
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Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate prediction models can help developers find bugs and prioritize t...
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Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate prediction models can help developers find bugs and prioritize their testing efforts. Previous researches focus on exploring different machine learning algorithms based on the features that encode the characteristics of *** problem of data redundancy exists in software defect data set, which has great influence on prediction *** propose a defect distribution prediction model(Deep belief network prediction model, DBNPM), a system for detecting whether a program module contains defects. The key insight of DBNPM is Deep belief network(DBN)technology, which is an effective deep learning technique in image processing and natural language processing,whose features are similar to defects in source *** results show that DBNPM can efficiently extract and process the data characteristics of source program and the performance is better than Support vector machine(SVM), Locally linear embedding SVM(LLE-SVM), and Neighborhood preserving embedding SVM(NPE-SVM).
Godson2H is a complex SoC (System-on-Chip) of Godson series, which is a 117mm2, 152 million transistors chip fabricated in 65 nm CMOS LP/GP process technology. It integrates a 1 GHz processor core and abundant high ...
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Godson2H is a complex SoC (System-on-Chip) of Godson series, which is a 117mm2, 152 million transistors chip fabricated in 65 nm CMOS LP/GP process technology. It integrates a 1 GHz processor core and abundant high or low speed peripheral IO interfaces. To overcome on-chip-variation problems in deep submicron designs, many methods are adopted in clock tree, and PVT detectors are integrated for debug. To meet the low power constraints in different applications, most of state-of-the-art low power methods are used carefully, such as dynamic voltage and frequency scaling, power gating and aggressive multi-voltage design.
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