ADC CUDA 3 Bedienungsanleitung Seite 5

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P a g e | 5 Copyright © Guzik Technical Enterprises. All rights reserved.
Processing Overview and Capabilities
ADC 6000 provides various options for signal processing: FPGA, GPU, and CPU-based
processing.
FPGA-based Processing
At the heart of the ADC 6000 are four industry-leading Altera
Stratix
TM
IV FPGA’s. These core processing elements combined
with Guzik’s implementation of customer-specified measurement
algorithms provide end users with a truly tailored measurement
solution where speed and throughput count. Once processed,
results can be streamed via the ADC’s PCI Express interface to a
host computer at sustained data rates up to 1.6 Gbyte/sec.
The FPGA-based processor combined with Guzik’s custom engineering capabilities
provides you with the possibility to perform digital signal processing directly in ADC 6000
prior to sending waveform data out to computer. Many applications may require only
processed results to be sent to the host computer rather than raw waveform data. Guzik
will work directly with customers to implement custom processing capabilities drawing from
years of experience in waveform analysis. Channel equalization, filtering, FFT, DFT,
min/max, averaging, and parameter calculations among others are all available along with
applications-specific requests. Guzik can provide custom services after a technical
consultation regarding the specific application and required processing.
The combined FPGA processing resources are listed in the table below:
Processing Block
Number
Notes
Logic Cells
729,600
1 LUT and 1 flip-flop
Block RAM
4,940
88
9-Kbit blocks
144-Kbit blocks
Multipliers
5,152
18-bit x 18-bit multipliers
Table 2. FPGA Resources in the expanded version of ADC 6000
GPU-based Processing
General-purpose computation on graphic hardware allows developers
to reuse the computational algorithms available for GPU or develop
their own algorithms on CUDA C or OpenCL. ADC 6000 is shipped
with NVidia
®
GeForce GTX 570
3
GPU. It is possible to use any NVidia
®
GPU with computing capability 2.0 or higher, if its power requirements
are satisfied by the host computer power supply.
3
Current configuration. More powerful GPU cards may be shipped in the future
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