In this study, the results of parallelization of a 3-D dual code (Thin Layer, Parabolized Navier-Stokes solver) for solving supersonic turbulent flow around body and wing-body combinations are presented. As a serial code, TLNS solver is very time consuming and takes a large part of memory due to the iterative and lengthy computations. Also for complicated geometries, an exceeding number of grid...

With the advance of applications such as multimedia, image/speech processing and real-time AI, real-time computing models allowing to express the “timeliness versus precision” trade-off are becoming increasingly popular. In the Imprecise Computation model, a task is divided into a mandatory part and an optional part. The mandatory part should be completed by the deadline even under worst-case s...

Survey of fish-eating populations in five villages along Ulhas river estuary and Thane creek indicated inter-village differences in parts of fish consumed. Differential tissue analysis indicated higher Hg levels in gills, kidney and skin (0.895-1.118 μg/g), moderate levels in liver, bones and muscles (0.21-0.37 μg/g) and low levels in eyes and brain (0.04-0.093 μg/g). Skin and kidneys having el...

With the advance of applications such as multimedia, imagelspeech processing and real-time AI, real-time computing models allowing to express the “timeliness versus precision” trade-off are becoming increasingly popular. In the Imprecise Computation model, a task is divided into a mandatory part and an optional part. The mandatory part should be completed by the deadline even under worst-case s...

Recently an algorithm that acts the variational principle directly to a coherent-pair condensate (VDPC) has been proposed. This can avoid time-consuming projection while maintaining particle number conservation. Quickly computation of many-pair density matrix (MPDM) is one keys improve computational efficiency VDPC algorithm. In this work, we propose scheme limits energy range block particles v...

In recent years, deep Convolutional Neural Networks (CNNs) have achieved impressive successes on the Single Image Super-Resolution task (SISR). However, it remains difficult to apply these CNN-based SISR methods in embedded devices due their high memory and computational requirements. To alleviate this issue, we focus lightweight methods. The observed similarity between feature maps CNNs serves...

Inspired by the corresponding problem in QCD, we determine the pressure of massless O(N) scalar field theory up to order g 6 in the weak-coupling expansion, where g 2 denotes the quartic coupling constant. This necessitates the computation of all 4-loop vacuum graphs at a finite temperature: by making use of methods developed by Arnold and Zhai at 3-loop level, we demonstrate that this task is ...

For the many journalists who use data and computation to report news, wrangling is an integral part of their work. Despite abundance literature on in context enterprise analysis, little known about specific operations, processes, pain points encounter while performing this tedious, time-consuming task. To better understand needs user group, we conduct a technical observation study 50 public rep...

This paper accelerates a scalable GF(p) Montgomery inversion hardware. The hardware is made of two parts a memory and a computing unit. We modified the original memory unit to include parallel shifting of all bits which was a task handled by the computing unit. The new hardware modeling, simulating, and synthesizing is performed through VHDL for several 160-bits designs showing interesting spee...