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Skupina Radetonarium

Veřejná·14 členů

Eac Multi Game Multiprogram 5 7 Magyar

We propose a framework to accelerate event reconstruction with a mixed-precision accelerator architecture. An operation in the common computing model (i.e., host-device memory) can be efficiently performed using an accelerator, whereas the operations across multiple devices suffer from the relatively slow communications overhead and the high bandwidth dependence of the large storage required. In the accelerator, operations can be largely shared among devices, thus reducing the data transfer and computation latency. Moreover, all device memories, including local registers and caches, can be used for intermediate value representations without the need for explicit data transfer to non-accelerator devices.

Eac Multi Game Multiprogram 5 7 Magyar

We propose a new modeling and reconstruction framework for multi-region fMRI time-series. We assume both temporal and spatial correlation patterns for the correlation between different voxels in the multi-brain fMRI dataset.

An efficient method is developed for designing thermo-mechanical-chemical (TMC) sensors. Such sensors may be of the type with (i) electrical temperature detection via a change in electrical resistance of a semiconductor material, (ii) mechanical pressure detection via micro-cantilever deflecting upon application of pressure, and (iii) chemical detection via a change in optical or electrochemical sensing capability with material or optical properties. The sensing elements can be arranged in various configurations including multiple elements, arrays, or a single element with distributed sensing capability. The first model of such a sensor is designed by physical-chemical modelling of the sensing material where various elementary processes can be considered on its time scale. We found that, depending on the type of operation and the sensing conditions, these models can be reduced to a second order ordinary differential equation with an algebraic equation to determine the temperature-dependent equilibrium. The sensing element with different physical and chemical properties can be considered by employing the Green's functions of the corresponding space domains. After this, the thermal, mechanical, or chemical processes are considered in the sensor configuration including a joint consideration of the effects of both thermal and mechanical deformations on the sensing properties as well as a structural design for a better coupling of the sensing element with the environment. The effect of various kinds of environmental conditions can be studied by modelling and analysing the environment in terms of a thermal, mechanical, or chemical loading. The sensitivity of the sensing element can be analysed by relating the strain to the sensing response. This study demonstrates that efficient TMC sensors with a single element and either electrical or optical sensing capabilities can be developed by using the first-principle modelling.

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