Cellular Automaton (CA) based traffic flow models have been extensively studied due to their effectiveness and simplicity in recent years. This paper develops a discrete time Markov chain (DTMC) analytical framewo...
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Cellular Automaton (CA) based traffic flow models have been extensively studied due to their effectiveness and simplicity in recent years. This paper develops a discrete time Markov chain (DTMC) analytical framework for a Nagel-Schreckenberg and Fukui Ishibashi combined CA model (W^2H traffic flow model) from microscopic point of view to capture the macroscopic steady state speed distributions. The inter-vehicle spacing Maxkov chain and the steady state speed Markov chain are proved to be irreducible and ergodic. The theoretical speed probability distributions depending on the traffic density and stochastic delay probability are in good accordance with numerical simulations. The derived fundamental diagram of the average speed from theoretical speed distributions is equivalent to the results in the previous work.
The Godson-3A microprocessor is a quad-core version of the scalable Godson-3 multi-core series. It is physically implemented based on the 65 nm CMOS process. This 174 mm2 chip consists of 425 million transistors. The ...
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The Godson-3A microprocessor is a quad-core version of the scalable Godson-3 multi-core series. It is physically implemented based on the 65 nm CMOS process. This 174 mm2 chip consists of 425 million transistors. The maximum frequency is 1GHz with a maximum power consumption of 15 W. The main challenges of Godson-3A physical implementation include very large scale, high frequency requirement, sub-micron technology effects and aggressive time schedule. This paper describes the design methodology of the physical implementation of Godson-3A, with particular emphasis on design methods for high frequency, clock tree design, power management, and on-chip variation (OCV) issue.
Semantic communication is envisioned as a potential communication paradigm enabled by artificial intelligence and is promising to break the Shannon limit for future 6G networks. This paradigm benefits unmanned aerial ...
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This paper presents the energy absorption characteristics of all-composite sandwich structures filled with PVC foam subjected to quasi-static and dynamic loading. Compression and drop-weight impact tests have been und...
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Scan design is a widely used design-for-testability technique to improve test quality and efficiency. For the scan-designed circuit, test and diagnosis of the scan chain and the circuit is an important process for sil...
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Scan design is a widely used design-for-testability technique to improve test quality and efficiency. For the scan-designed circuit, test and diagnosis of the scan chain and the circuit is an important process for silicon debug and yield learning. However, conventional scan designs and diagnosis methods abort the subsequent diagnosis process after diagnosing the scan chain if the scan chain is faulty. In this work, we propose a design-for-diagnosis scan strategy called helix scan and a diagnosis algorithm to address this issue. Unlike previous proposed methods, helix scan has the capability to carry on the diagnosis process without losing information when the scan chain is faulty. What is more, it simplifies scan chain diagnosis and achieves high diagnostic resolution as well as accuracy. Experimental results demonstrate the effectiveness of our design.
Depression is one of the most common mood disorders and the number of patients increases significantly in recent years. Due to the lack of biomarkers, conversation between patients and psychiatrists is still the main ...
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Phytoplankton play a crucial role in the primary productivity of ocean ecosystems, rendering changes in their populations particularly consequential. The effects of extreme sea surface temperature (SST) on phytoplankt...
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Phytoplankton play a crucial role in the primary productivity of ocean ecosystems, rendering changes in their populations particularly consequential. The effects of extreme sea surface temperature (SST) on phytoplankton are noteworthy. However, the direct characterization of total biomass by chlorophyll for analysis is inaccurate for phytoplankton functional taxa (PFTs) with different sensitivity to SST. Through the method of Diagnostic pigment analysis (DPA), these organisms can be classified into six primary functional taxa based on their distinctive pigments, which play a vital role in elucidating their ecological functions and dynamics. This study employed optical remote sensing to reconstruct daily concentrations and occupancy of six PFTs in the Eastern China Marginal Sea (ECMS) over the past 20 years. Causal analyses were conducted to identify regions with varying sensitivity to SST changes and further explore the corresponding impacts on phytoplankton concentrations. Results revealed that high-causality areas in the Bohai Sea (BS) and Yellow Sea (YS) were primarily located in nearshore waters. In contrast, high-causality regions in the East China Sea (ECS) were farther offshore, while nearshore areas exhibited lower causality. The high-causality subregions experienced significant fluctuations in phytoplankton concentrations, particularly during marine heatwave (MHW) events, with a prevailing trend of decline in taxon concentrations driven by elevated SST. In comparison, low-causality subregions displayed weaker synchronization with SST changes, as other factors influenced taxa concentrations more prominently. Notably, while phytoplankton concentrations fluctuated significantly during extreme MHW events, they eventually reverted to baseline levels. However, with the increasing frequency and intensity of MHWs due to global warming, the capacity for phytoplankton to recover under such repeated stress remains uncertain. This study emphasizes the necessity of furt
An increasing number of supercomputers adopt a heterogeneous architecture, consisting of both general purpose CPUs and specialized accelerators. Such design is beneficial for scalability and power, but on the other ha...
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An increasing number of supercomputers adopt a heterogeneous architecture, consisting of both general purpose CPUs and specialized accelerators. Such design is beneficial for scalability and power, but on the other hand, heterogeneity brings new challenges in communication systems to connect heterogeneous components and provide support for programming. The communication system of the Dawning 6000 connectstwo kinds of heterogeneous processors, Loongson and AMD, and adopts a three layer architecture with an intranode layer between heterogeneous components. To efficiently connect heterogeneous components, the system forms a global address space and provides a mechanism for message transmission via an in-node global store; and employing Infiniband network, provides an OS-bypassing virtualization method to share an Infiniband card between nodes. To facilitate programming on heterogeneous processors, it supports unified parallel C (UPC), with a modified complier based on global address space. Also, aspecial collective network is implemented for collective operations. Results obtained from a prototype system prove these features to be both feasible and efficient.
Dear editor,Aerodynamic design is usually a time-consuming process of four steps [1]. First, an initial design profile is obtained with designer’s domain knowledge. Second, the design profile is represented as a CAD ...
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Dear editor,Aerodynamic design is usually a time-consuming process of four steps [1]. First, an initial design profile is obtained with designer’s domain knowledge. Second, the design profile is represented as a CAD model using softwares such as Catia or ***, a CAE software, such as ICEM or Hypermesh, is applied to generate corresponding *** last, a computational fluid dynamics (CFD)software, such as Fluent or CFX, is used to calculate the performance. Therefore, only numbered
The quantity of computer applications is increasing dramatically as the computer industry prospers. Meanwhile, even for one application, it has different requirements of performance and power in different scenarios. A...
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The quantity of computer applications is increasing dramatically as the computer industry prospers. Meanwhile, even for one application, it has different requirements of performance and power in different scenarios. Although various processors with different architectures emerge to fit for the various applications in different scenarios, it is impossible to design a dedicated processor to meet all the requirements. Furthermore, dealing with uncertain processors significantly aggravates the burden of programmers and system integrators to achieve specific performance/power. In this paper, we propose elastic architecture (EA) to provide a uniform computing platform with high elasticity, i.e., the ratio of worst-case to best-case performance/power/performance-power trade-off, which can meet different requirements for different applications. It is achieved by dynamically adjusting architecture parameters (instruction set, branch predictor, data path, memory hierarchy, concurrency, status^zcontrol, and so on) on demand. The elasticity of our prototype implementation of EA, as Sim-EA, ranges from 3.31 to 14.34, with 5.41 in arithmetic average, for SPEC CPU2000 benchmark suites, which provides great flexibility to fulfill the different performance and power requirements in different scenarios. Moreover, Sim-EA can reduce the EDP (energy-delay product) for 31.14% in arithmetic average compared with a baseline fixed architecture. Besides, some subsequent experiments indicate a negative correlation between application intervals' lengths and their elasticities.
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