In this paper we describe load scheduling, a novel method that balances load among register files by residual resources. Load scheduling can reduce register pressure for clustered VLIW processors with distributed regi...
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Jamming style Denial-of-Service attack is the transmission of radio signals that disrupt communications by decreasing the signal to noise ratio. This kind of attack can be easily launched by jammer through either bypa...
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In light of its powerful computing capacity and high energy efficiency, GPU (graphics processing unit) has become a focus in the research field of HPC (High Performance Computing). CPU-GPU heterogeneous parallel syste...
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Multiple-input and multiple-output (MIMO) is an important approach in high-rate wireless communications. The Schnorr-Euchner (SE) sphere-decoding algorithm enables fast detection for receivers by recursive tree search...
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As an important aspect of the hardware resource consolidation in virtualization environment, memory consolidation and over-commitment has been motivated by the increasing elastic computing cloud platform. The most pop...
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A deep belief network (DBN) is an important branch of deep learning models and has been successfully applied in many machine learning and pattern recognition fields such as computer vision and speech recognition. Howe...
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OpenMP is a widely used parallel programming model on traditional multi-core processors. Generally, OpenMP is used to develop fine-grained parallelism through a multithread model. Stream programming model is a new kin...
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For target recognition based on biologic vision, an application-specific stream SOC: MASA-MI is described in this paper. MASA-MI consists of several heterogeneous cores, and a stream accelerator core is used to accele...
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Code review is an important process to reduce code defects and improve software quality. However, in social coding communities using the pull-based model, everyone can submit code changes, which increases the required...
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Machine learning is broadly used in many intelligent cybernetic systems. With the burgeoning of the communities of AI, the number of machine learning-based models is rapidly increasing, but picking a suitable and opti...
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