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  2. Ideal for data-intensive applications GPU Express (Oxford Instruments Ltd.)
Ideal for data-intensive applications GPU Express-GPU Express
Ideal for data-intensive applications GPU Express-Oxford Instruments Ltd.

Ideal for data-intensive applications GPU Express
Oxford Instruments Ltd.

About This Product

The Andor GPU Express library was created to simplify and optimize data transfer from cameras to CUDA-enabled NVidia GPU (Graphical Processing Unit) cards, facilitating GPU processing acceleration as part of the acquisition path. GPU Express is easily integrated into SDK3 (Windows) for Andor sCMOS cameras, providing an easy-to-use and powerful solution for managing the challenges of high-bandwidth data flow, light-sheet microscopy, super-resolution microscopy, and adaptive optics. Ideal for data-intensive applications such as

■Features

・Improved real-time feedback and visualization A platform that saves memory resources by using standard compression algorithms and removing duplicate information during acquisition. Free up disk space to store only relevant data and reduce the size of copies required on disk

■Advantages of GPU

・Enhanced usability achieved through simple and optimized GPU data management ・Optimal data throughput ・Speed ​​up the frame rate of real-time processing - Easy access to great documentation and examples The GPU processing library feature allows data to be sent to a GPU card for processing without the GPU Express library (if you use an Nvidia card, this processing is done using the CUDA library). However, this operation requires the user to explicitly manage the buffers needed to hold the CPU and GPU data. We also need to copy data to and from the GPU via the CPU. The GPU Express library provides a simpler solution for users by managing all necessary CPU and GPU buffers to hold and transfer acquired data.

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    Ideal for data-intensive applications GPU Express

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1 Models of Ideal for data-intensive applications GPU Express

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Ideal for data-intensive applications GPU Express-Part Number-GPU Express

GPU Express

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