If your computer crashes, you can revive it by a reboot, an empirical solution that usually turns out to be effective. The rationale behind this solution is that transient faults, either in hardware or software,can be...
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If your computer crashes, you can revive it by a reboot, an empirical solution that usually turns out to be effective. The rationale behind this solution is that transient faults, either in hardware or software,can be fixed by refreshing the machine state. Such a "silver bullet", however, could be futile in the future because the faults, especially those existing in the hardware such as Integrated Circuit(IC) chips, cannot be eliminated by refreshing. What we need is a more sophisticated mechanism to steer the system back to the right track. The "magic cure" is the Fault Tolerance On-Chip(FTOC) mechanism, which relies on a suite of built-in design-for-reliability logic, including fault detection, fault diagnosis, and error recovery, working in a self-supportive manner. We have exploited the FTOC to build a holistic solution ranging from on-chip fault detection to error recovery mechanisms to address faults caused by chips progressively aging. Besides fault detection, the FTOC paradigm provides attractive benefits, such as facilitating graceful performance degradation, mitigating the impact of verification blind spots, and improving the chip yield.
In this paper, we have developed a highperformance data processing system for big SAR data based on parallel and distributed computation using supercomputer. Aiming at the pipeline of InSAR, we mainly focus on the par...
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Period-doubling bifurcation,as an intermediate state between order and chaos,is ubiquitous in all disciplines of nonlinear ***,previous experimental observations of period doubling in ultrafast fiber lasers are mainly...
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Period-doubling bifurcation,as an intermediate state between order and chaos,is ubiquitous in all disciplines of nonlinear ***,previous experimental observations of period doubling in ultrafast fiber lasers are mainly restricted to self-sustained steady state,controllable manipulation and dynamic switching between period doubling and other intriguing dynamical states are still largely ***,we propose to expand the vision of dissipative soliton periodic doubling,which we illustrate experimentally by reporting original spontaneous,collisional,and controllable spectral period doubling in a polarization-maintaining ultrafast fiber ***,the spontaneous period doubling can be observed in both single-and *** mechanism of the switchable state and periodic doubling was revealed by numerical ***,state transformation of individual solitons can be resolved during the collision of triple solitons involving stationary,oscillating,and period ***,controllable deterministic switching between period doubling and other dynamical states,as well as exemplifying the application of period-doubling-based digital encoding,is achieved under programmable pump *** results open a new window for unveiling complex Hopf bifurcation in dissipative systems and bring useful insights into nonlinear science and applications.
The ability of accurate and scalable mobile device recognition is critically important for mobile network operators and ISPs to understand their customers' behaviours and enhance their user *** this paper,we propo...
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The ability of accurate and scalable mobile device recognition is critically important for mobile network operators and ISPs to understand their customers' behaviours and enhance their user *** this paper,we propose a novel method for mobile device model recognition by using statistical information derived from large amounts of mobile network traffic ***,we create a Jaccardbased coefficient measure method to identify a proper keyword representing each mobile device model from massive unstructured textual HTTP access *** handle the large amount of traffic data generated from large mobile networks,this method is designed as a set of parallel algorithms,and is implemented through the MapReduce framework which is a distributed parallel programming model with proven low-cost and high-efficiency *** using real data sets show that our method can accurately recognise mobile client models while meeting the scalability and producer-independency requirements of large mobile network *** show that a 91.5% accuracy rate is achieved for recognising mobile client models from 2 billion records,which is dramatically higher than existing solutions.
Real-time transformation was important for the practical implementation of impedance flow *** major obstacle was the time-consuming step of translating raw data to cellular intrinsic electrical properties(e.g.,specifi...
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Real-time transformation was important for the practical implementation of impedance flow *** major obstacle was the time-consuming step of translating raw data to cellular intrinsic electrical properties(e.g.,specific membrane capacitance C_(sm) and cytoplasm conductivityσ_(cyto)).Although optimization strategies such as neural network-aided strategies were recently reported to provide an impressive boost to the translation process,simultaneously achieving high speed,accuracy,and generalization capability is still *** this end,we proposed a fast parallel physical fitting solver that could characterize single cells’C_(sm)andσ_(cyto)within 0.62 ms/cell without any data preacquisition or pretraining *** achieved the 27000-fold acceleration without loss of accuracy compared with the traditional *** on the solver,we implemented physics-informed real-time impedance flow cytometry(piRT-IFC),which was able to characterize up to 100,902 cells’C_(sm) andσ_(cyto)within 50 min in a real-time *** to the fully connected neural network(FCNN)predictor,the proposed real-time solver showed comparable processing speed but higher ***,we used a neutrophil degranulation cell model to represent tasks to test unfamiliar samples without data for *** being treated with cytochalasin B and N-Formyl-Met-Leu-Phe,HL-60 cells underwent dynamic degranulation processes,and we characterized cell’s C_(sm)andσ_(cyto)using *** to the results from our solver,accuracy loss was observed in the results predicted by the FCNN,revealing the advantages of high speed,accuracy,and generalizability of the proposed piRT-IFC.
We present a theory of the multi-threshold second-order phase transition,and experimentally demonstrate the multi-threshold secondorder phase transition *** carefully selected parameters,in an external cavity diode la...
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We present a theory of the multi-threshold second-order phase transition,and experimentally demonstrate the multi-threshold secondorder phase transition *** carefully selected parameters,in an external cavity diode laser system,we observe secondorder phase transition with multiple(three or four) thresholds in the measured power-current-temperature three dimensional phase *** controlled death and revival of second-order phase transition sheds new insight into the nature of ubiquitous secondorder phase *** theory and experiment show that the single threshold second-order phase transition is only a special case of the more general multi-threshold second-order phase transition,which is an even richer phenomenon.
Magnetorheological materials are a class of smart materials whose rheological properties may be rapidly varied by a prescribed magnetic field. In this paper, a new shear-mode semi-active dynamic vibration absorber (SD...
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This paper presents a methodology for high-level power modeling of cell-based processors. A flexible power model library, which can automatically generate detailed power data for actual circuits of each part of given ...
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This paper presents a methodology for high-level power modeling of cell-based processors. A flexible power model library, which can automatically generate detailed power data for actual circuits of each part of given processor, is developed and annotated dynamically for architecture-level power simulator. According to this method, the dynamic power, leakage power and even area and cell counts can be accurately estimated, and the preliminary power validation for a MIPS microprocessor proves our methodology to be effective and highly correlated, with only small errors comparing with the gate-level power analysis.
We present the design of time parallel trace-driven cache simulation for the purpose of evaluating different cache architectures. Due to the long simulation cycles, traditional sequential simulation methods are no lon...
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