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Cache indexing functions play a key role in reducing conflict misses by spreading accesses evenly among all sets of cache blocks. Although various methods have been proposed, no significant effort has been expended on the behavior of conflict misses in GPU where threads are organized into warps and execute in lock-step. When intra-warp accesses could not be coalesced into one or two cache blocks,...
In order to obtain better high frequency performance for GaN-based devices, we investigate the influence of the gate length Lg, the gate-source space Lgs, the gate-drain space Lgd, and the thickness of barrier AlGaN on frequency performance of AlGaN/GaN high electron mobility transistors (HEMTs) using silvaco TCAD simulation. Besides, the importance of Ohmic contact resistance Rc to current-gain cutoff...
In today's "Big Data" era, developers have adopted I/O techniques such as MPI-IO, Parallel NetCDF and HDF5 to garner enough performance to manage the vast amount of data that scientific applications require. These I/O techniques offer parallel access to shared datasets and together with a set of optimizations such as data sieving and two-phase I/O to boost I/O throughput. While most of these...
This paper presents new Electromagnetic Band Gap (EBG) structures for a 2.6 GHz Dual-Element MIMO Antenna System. The structure derives from the traditional mushroom, but with the unique shape of the patch, the change of via's position, and the inverted T shape layout of the structure unit cells. The via's position is optimized in the HFSS software, and the simulated results shows that the mutual...
Load parameters inside the ball mill is one of the key factors that affect grinding production ratio and production quantity of the grinding process directly. The ball mill produces soundly mechanical vibration and acoustical signals. Many methods have been applied to measure them. In this paper, a new frequency spectral feature of Hilbert vibration decomposition (HVD) based soft sensor approach is...
Soundly shell vibration and acoustical signals produced by ball mill of grinding process contain useful information for judging parameters inside ball mill. These signals consist of different time-scale sub-signals which are caused by different reasons and have different physical interpretation. In this paper, a new multi-scale frequency spectrum feature selection and extraction based on soft sensing...
The increment of model complexity and size has been bottle neck of improve simulation system analyze emulation effective and decision maker cognize complex system. One of the effective methods to solve this problem is to replace complex physical model with simple simulate meta-model. Aim at slowly modeling speed and difficulty to effective updating problem using traditional neural network and other...
Different frequency spectral feature sub-sets of mill shell vibration and acoustical signals contain different information for modeling parameters of mill load. Selective ensemble modeling based on manipulate training samples can improve generalization performance of soft sensor model. Based on the former studies, we proposed a new dual layer selective ensemble learning strategy. At first, vibration...
A large-scale, unstructured grid storm tide model SELFE was used to hindcast water level variation during Hurricane Sandy in the mid-Atlantic potion of the US East coast. The model was forced by 8 tidal constituents at the open boundary condition, 1500 km away from the coast, and the wind and pressure fields from atmospheric model RAMS provided by Weatherflow Inc. From the large-scale modeling results,...
Geographic information system is more and more widely used in our daily lives, it plays an increasingly important role in transportation, urban planning, and resource management. An effective testing method is required to ensure the correctness. At the same time, MongoDB can provide applications with lightweight scalability and high-performance data storage solutions. This paper uses CppUnit unit...
The advance of high-performance computing systems towards exascale will be constrained by the systems' energy consumption levels. Large numbers of processing components, memory, interconnects, and storage components must all be considered to achieve exascale performance within a targeted energy bound. While application-aware power allocation schemes for computing resources are well studied, a portable...
We apply 16QAM into the downstream modulation in long reach WDM-PON and utilize blind equalization at the ONU receiver to improve the system performance. Simulation results indicate that, with the blind equalization, after transmission over 40-km single mode fiber (SMF) at the speed of 20Gb/s, BER is remained below 10−3 at −17.2dBm receive sensibility. The results also show that the blind equalization...
Exascale computing systems are soon to emerge, which will pose great challenges on the huge gap between computing and I/O performance. Many large-scale scientific applications play an important role in our daily life. The huge amounts of data generated by such applications require highly parallel and efficient I/O management policies. In this paper, we adopt a mission-critical scientific application,...
The growing demand for higher trustworthiness of software poses an unprecedented challenge to the software industry. Software is the outcome of the software process. Software trustworthiness is highly dependent on the software process. To combine the trustworthiness in the software process, we propose a formal method for trustworthy software process composition. In this method, trustworthy processes...
In the era of petascale computing, more scientific applications are being deployed on leadership scale computing platforms to enhance the scientific productivity. Many I/O techniques have been designed to address the growing I/O bottleneck on large-scale systems by handling massive scientific data in a holistic manner. While such techniques have been leveraged in a wide range of applications, they...
Scientific applications use collective communication operations in Message Passing Interface (MPI) for global synchronization and data exchanges. Alltoall and AlltoallV are two important collective operations. They are used by MPI jobs to exchange messages among all of MPI processes. AlltoallV is a generalization of Alltoall, supporting messages of varying sizes. However, the existing MPI AlltoallV...
In this paper, desired images retrieval method using multiple local features of query images is proposed. Multiple color and texture features in local windows are extracted from an image. Color moment is calculated to use for color feature. Texture histogram based on local binary pattern of dual-tree complex wavelet transform is calculated to use for texture feature. When user's interest points of...
at present, the security of E-government is the focus of our research. This paper describes the Elliptic Curve Cryptosystem, which has the advantages of unit safety, high strength, small amount of calculation, fast processing speed, is used in the voting scheme of E-government, and the threshold remainder theorem and multi-signature are also applied in the voting scheme in order to make sure the security...
A very promising idea for fast searching in time series databases is to map the time series into a representative space. In this paper, we propose an effective querying algorithm QoM (Querying on Motif) based on time series motifs. First, we map the time series into representative motifs by motif discovery algorithm. Second, we look for a time series data based on these motifs by QoM. The QoM can...
Flash based solid-state devices (FSSDs) have been adopted within the memory hierarchy to improve the performance of hard disk drive (HDD) based storage system. However, with the fast development of storage-class memories, new storage technologies with better performance and higher write endurance than FSSDs are emerging, e.g., phase-change memory (PCM). Understanding how to leverage these state-of...
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