ADC CUDA 3 Manual do Utilizador descarregar pdf (Página 6)

CPU-based Processing

In addition to FPGA-based and GPU-based computation, customers

have an option to perform signal processing using a computer CPU.

Multi-core processing libraries, such as OpenMP, allow utilizing full

power of modern 12-core CPU computers. Once more powerful

computers with more cores are released, you can upgrade your

computer keeping your existing AXIe ADC 6000 Digitizer Module.

Ultra-fast GPU-based FFT Measurements

ADC 6000 performs frequency domain analysis using the Fast Fourier Transform (FFT)

performed on GPU. Single NVIDIA

Tesla GPU card performs FFT calculations at a

2.5 GSPS processing speed. This means, for example, that if you collect data at 10 GSPS

for 100 µs, process in 400 µs, you will get the full signal spectrum up to 5 GHz with

resolution bandwidth 10 kHz – 500,000 spectral lines – in less than 0.5 ms.

Expandability

The ADC 6000 AXIe-based module, features a real-time 40GByte/s link through standard

AXIe 62-pair Local Bus, which allows cascading multiple modules for increased memory,

processing speed, and faster data streaming to computer. This is a special order

configuration.

Up to 13 GHz

40 GSPS ADC

64 GBytes

RAM

…

Up to 14

modules in

1 AXIe

chassis

Up to 13 GHz

40 GSPS ADC

64 GBytes

RAM

40 GSPS ADC

64 GBytes

RAM

40 GByte/s

Up to 896 GBytes of memory is available for any channel in 14 slot AXIe chassis

Possible applications of the cascaded arrangement:

 Increased processing speed – acquire data by one board, transfer to and process

by multiple boards, utilizing FPGA processors of several boards.

 Increased memory – acquire data by one board, transfer to multiple boards, utilizing

memory of several boards. For example, combined memory of 14 boards is close to

1TByte.

 Increased sampling rate – acquire data by two or more boards and interleave them.

 Real-time data streaming – acquire data by one board, transfer to other boards, and

stream to an array of PCs in real time.

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