Enhancing Job Scheduling of an Atmospheric Intensive Data Application

Nowadays, e-Science applications involve great deal of data to have more accurate analysis. One of its application domains is the Radio Occultation which manages satellite data. Grid Processing Management is a physical infrastructure geographically distributed based on Grid Computing, that is implemented for the overall processing Radio Occultation analysis. After a brief description of algorithms adopted to characterize atmospheric profiles, the paper presents an improvement of job scheduling in order to decrease processing time and optimize resource utilization. Extension of grid computing capacity is implemented by virtual machines in existing physical Grid in order to satisfy temporary job requests. Also scheduling plays an important role in the infrastructure that is handled by a couple of schedulers which are developed to manage data automaticall

APOLIPOPROTEIN H : A TWO-STEP ISOLATION METHOD

A new method for the purification of apolipoprotein H by affinity chromatography followed by continuous-elution electrophoresis is described. It is both simpler and less complicated than the chromatographic and electrophoretic methods usually used. In addition, apolipoprotein H is isolated in a pure, structurally uncleaved form. This is of importance, as impairment has been detected in commercial preparations. The separation and purification of apolipoprotein H is a necessary prelude to its quantitative determination and phenotyping, and hence the clarification of its physiopathological mechanisms in lipid metabolism

Single-poly floating-gate memory cell options for analog neural networks

In this paper, we explore the use of a 180 nm CMOS single-poly technology platform for realizing analog Deep Neural Network integrated circuits. The analysis focuses on analog vector–matrix multiplier architectures, one of the main building blocks of a neural network, implementing in-memory computation using Floating-Gate multi-level non-volatile memories. We present two memory options, suited either for current-mode or for time-domain vector–matrix multiplier implementations, with low–voltage charge-injection program and erase operations. The effects of a limited accuracy are also investigated through system-level simulations, by accounting for the temperature dependence of the stored weights and the corresponding impact on the network error rate