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| 1 | Sunway supercomputer architecture towards exascale computing:analysis and practice显示文摘In recent years,the improvements of system performance and energy efficiency for supercomputers have faced increasing challenges,which create more intensive demands on the architecture design for realizing exascale computing.This paper first analyzes the main requirements of exascale computing on the aspects of the parallel computing application and supercomputing center operation.Afterwards,a mapping scheme of'demands-challenges-architecture'is proposed.Then,the major challenges of exascale supercomputer,such as scalability,power consumption,data movement,programming and availability,are thoroughly analyzed,and the corresponding appropriate solutions are proposed.Moreover,this paper proposes the Sunway computer architecture towards exascale computing in which the many-core processor,network chipset and software system are all domestically-designed.The technology roadmap of Sunway supercomputer will hold the comprehensive design methods for the architecture,including the processor,interconnect network,assembly structure,power supply,cooling system,system software,parallel algorithm and application support,promising great advances for exascale supercomputing. | Jiangang GAO Fang ZHENG Fengbin QI Yajun DING Hongliang LI Hongsheng LU Wangquan HE Hongmei WEI Lifeng JIN Xin LIU Daoyong GONG Fei WANG Yan ZHENG Honghui SUN Zhou ZHOU Yong LIU Hongtao YOU | 2021 | Science China(Information Sciences)2021，64，4： | 3 |
| 2 | TESTING LINEAR AND NONLINEAR GRANGER CAUSALITY IN CSI300 FUTURES AND SPOT MARKETS BASED ON NEW CONCEPTS OF NONLINEAR POSITIVE/NEGATIVE SPILLOVER显示文摘Hiemstra and Jones(1994) argued that a significant negative value of their nonlinear Granger causality test(H-J test) means there is a confounding effect in the prediction.However,from the theoretical analysis and Monte Carlo simulations,the authors find that H-J test is significantly negative under the circumstance of negative volatility spillover.Furthermore,the authors put forward the conceptions of positive/negative nonlinear spillover,and apply H-J test to examine positive/negative nonlinear spillover effect.The empirical study on China stock futures and spot markets shows that:1) There is significant positive nonlinear spillover from futures to spot market;2) There is significant negative nonlinear spillover from spot to futures market.The authors argue that there is 'risk absorption' mechanism in information spillover from the spot market to the futures market,which is due to the temporal transfer of speculative trading from the analysis. | ZHOU Pu LU Fengbin WANG Shouyang | 2014 | Journal of Systems Science & Complexity2014，27，4： | 2 |
| 3 | The time‑varying causal relationship between the Bitcoin market and internet attention显示文摘The increasing attention on Bitcoin since 2013 prompts the issue of possible evidence for a causal relationship between the Bitcoin market and internet attention.Taking the Google search volume index as the measure of internet attention,time-varying Granger causality between the global Bitcoin market and internet attention is examined.Empirical results show a strong Granger causal relationship between internet attention and trading volume.Moreover,they indicate,beginning in early 2018,an even stronger impact of trading volume on internet attention,which is consistent with the rapid increase in Bitcoin users following the 2017 Bitcoin bubble.Although Bitcoin returns are found to strongly affect internet attention,internet attention only occasionally affects Bitcoin returns.Further investigation reveals that interactions between internet attention and returns can be amplified by extreme changes in prices,and internet attention is more likely to lead to returns during Bitcoin bubbles.These empirical findings shed light on cryptocurrency investor attention theory and imply trading strategy in Bitcoin markets. | Xun Zhang Fengbin Lu Rui Tao Shouyang Wang | 2021 | Financial Innovation2021，7，1： | 1 |
| 4 | Impacts of CME Changing Mechanism for Allowing Negative Oil Prices on Prices and Trading Activities in the Crude Oil Futures Market显示文摘This study investigates and compares the effects of the Coronavirus disease 2019(COVID-19)pandemic,the Chicago mercantile exchange(CME)'s negative price suggestion on prices and trading activities in the crude oil futures market to discuss the cause of negative crude oil futures prices.Through event studies,the empirical results show that the COVID-19 pandemic no longer impacts crude oil futures prices in April,2020 after controlled market risk,while the CME's negative prices suggestion can explain the crude oil futures price changes around and even after April 8,2020 to some degree.Moreover,this study uncovers anomalies in prices and trading activities by analyzing returns,trading volume,open interest,and illiquidity measures using vector autoregressive(VAR)models.The results imply that CME's allowing negative prices strengthens the price impact on trading volume and makes illiquidity risk matter.This study's results coincide with the following lawsuit evidence of market manipulation. | LU Fengbin BU Hui | 2023 | Journal of Systems Science & Complexity2023，36，5： | 0 |
| 5 | A Time-Varying Conditional Parameter Distributed Lag Model with an Application to Crude Oil Market显示文摘This paper proposes a new time-varying parameter distributed lag(DL)model.In contrast to the existing methods,which assume parameters to be random walks or regime shifts,our method allows time-varying coefficients of lagged explanatory variables to be conditional on past information.Furthermore,a test for constant-parameter DL model is introduced.The model is then applied to examine time-varying causal effect of inventory on crude oil price and forecast weekly crude oil price.Time-varying causal effect of US commercial crude oil inventory on crude oil price return is presented.In particular,the causal effect of inventory is occasionally positive,which is contrary to some previous research.It’s also shown that the proposed model yields the best in and out-of-sample performances compared to seven alternative models including RW,ARMA,VAR,DL,autoregressive-distributed lag(ADL),time-varying parameter ADL(TVP-ADL)and DCB(dynamic conditional beta)models. | Amina AILIGENG Fengbin LU Shouyang WANG | 2023 | Journal of Systems Science and Information2023，11，5： | 0 |
| 6 | Device performance limit of monolayer SnSe_(2) MOSFET显示文摘Two-dimensional(2D)semiconductors are attractive channels to shrink the scale of field-effect transistors(FETs),and among which the anisotropic one is more advantageous for a higher on-state current(I_(on)).Monolayer(ML)SnSe_(2),as an abundant,economic,nontoxic,and stable two-dimensional material,possesses an anisotropic electronic nature.Herein,we study the device performances of the ML SnSe_(2) metal-oxide-semiconductor FETs(MOSFETs)and deduce their performance limit to an ultrashort gate length(L_(g))and ultralow supply voltage(V_(dd))by using the ab initio quantum transport simulation.An ultrahigh I_(on) of 5,660 and 3,145µA/µm is acquired for the n-type 10-nm-L_(g) ML SnSe_(2) MOSFET at V_(dd)=0.7 V for high-performance(HP)and low-power(LP)applications,respectively.Specifically,until L_(g) scales down to 2 and 3 nm,the MOSFETs(at V_(dd)=0.65 V)surpass I_(on),intrinsic delay time(τ),and power-delay product(PDP)of the International Roadmap for Device and Systems(IRDS,2020 version)for HP and LP devices for the year 2028.Moreover,the 5-nm-L_(g) ML SnSe_(2) MOSFET(at V_(dd)=0.4 V)fulfills the IRDS HP device and the 7-nm-L_(g) MOSFET(at V_(dd)=0.55 V)fulfills the IRDS LP device for the year 2034. | Hong Li Jiakun Liang Qida Wang Fengbin Liu Gang Zhou Tao Qing Shaohua Zhang Jing Lu | 2022 | Nano Research2022，15，3： | 0 |
| 7 | Deposition of water-soluble inorganic ions in PM_(2.5) in a typical forestry system in Beijing,China显示文摘Background: Rapid economic development in China has resulted in an increase in severe air pollution in city groups such as the Beijing-Tianjin-Hebei Metropolitan Region. PM2.5(fine particles with an aerodynamic equivalent diameter of 2.5 [xm or less) is one of the most important pollutants. The deposition process is an important way of removing particles from the air. To evaluate the effect of an urban forest on atmospheric particle removal, a concentration gradient method was used to measure the deposition velocities of water-soluble inorganics in PM2.5 in two national forest parks in Beijing, China. The following eight water-soluble inorganic ions in PM2.5 were investigated: sodium, ammonium, potassium, magnesium, calcium, chloride, nitrate, and sulfate.Methods: Samples were taken from two sites in Beijing from the 7 th to the 15 th May, 2013. The concentrations of water-soluble inorganic ions were analyzed with ion chromatography. We used the concentration gradient technique to estimate the deposition flux and velocity. To determine the relationships between leaf traits and particle accumulation, typical leaf samples from each selected species were studied using scanning electron microscopy.Results: The total deposition flux and total deposition velocity during the daytime were higher than those at night.Sulfate showed the biggest deposition flux and velocity at both study sites, whereas the other ions showed different trends at each site. Result from higher proportion of coniferous to broadleaved trees, the total deposition flux of the eight ions measured in Jiufeng National Forest Park was greater than that in Olympic Forest Park.Conclusions: The deposition velocity was affected by meteorological conditions such as wind speed, temperature,and humidity. The deposition velocity was also influenced by tree species. The surface of plants is an important factor influencing particle deposition. The results of this study may help in assessing the effects of forestry systems on particle removal and provide evidence for urban air pollution control and afforestation of urban areas. | Junqi Ding Xiaoxiu Lun Weifang Ma Lu Zhao Yingying Cao Fengbin Sun Renna Li | 2018 | Forest Ecosystems2018，5，4： | 0 |
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