Skip to content
CompuScope GPU CUDA Processing
Real-Time High-Speed Digital Signal Processing
Imagine a world where your most complex computational tasks are executed in mere moments, where innovative technology meets unprecedented speed. GaGe’s GPU CUDA Digital Signal Processing (DSP) technology is a game-changer in the realm of high-performance computing. The future of computing is here with GaGe’s GPU CUDA DSP. Explore its full potential and see how it can transform your work and redefine your computing capabilities with GaGe.
- All CompuScope Express Digitizers with eXpert PCIe Data Streaming Firmware Supported
- Stream Acquired Signal Data to GPU for In-Line Processing in Real-Time
- Stream GPU Processed Data Results to Storage in Real-Time
- Up to 5 GB/s Data Stream Rates via PCIe Gen3 Interface
- Supports CUDA Compute Capability 3.0+ GPU Cards
- 10X ~ 100X Faster GPU Processing Calculation Times vs CPU Processing
- Easier & More Transportable C Language Based Programming for GPU
- Provided C SDK Sample Programs Illustrate:
- Digitizer Streaming to GPU DSP Algorithms
- Examples Programs such as FFT, Signal Averaging, and More
- Easily Insert User Developed Custom Code for GPU Processing
- Exploitation of GPU Vector Data Processing Capability
- Usage of CUDA Library for Fastest Data Transfer Performance
- Comparative Performance of GPU vs Host CPU Processing
- GPU Streaming of Processed Data Results to Storage
- Available Sig-Station Systems for Maximum Performance
- Windows and Linux Operating Systems Supported
Unprecedented Features That GO Beyond All Other Digital Signal Processing Equipment
Our GPU CUDA Digital Signal Processing (DSP) is a cutting-edge technology that sets itself apart from other digital signal processing equipment. It brings an array of features to the table, designed to redefine speed, power, and precision in high-performance computing.
Unmatched Speed and Precision
Our GPU CUDA DSP utilizes the power of graphics processing units (GPUs) to deliver unparalleled processing speeds. GPUs are specifically engineered to handle complex mathematical tasks quickly and efficiently, making them perfect for digital signal processing. With the CUDA platform, we make the most of this capability, allowing for real-time processing of large data sets with exceptional accuracy.
Versatile Compatibility
GaGe CompuScope PCIe Digitizers are fully compatible with our GPU CUDA DSP. This offers users a seamless integration experience and the ability to harness the full power of our DSP technology. This compatibility extends to a wide range of applications, including test and measurement equipment, power analyzers, high-speed digitizers, and more.
Revolutionary Technology
Our GPU CUDA DSP technology is at the forefront of a technological revolution. By harnessing the power of GPUs and the CUDA platform, we’re pushing the boundaries of what’s possible in digital signal processing. This is not just a step forward; it’s a leap into the future of high-performance computing.
Unlock the Power of Quality Digital Signal Processing
The world of digital signal processing is complex and dynamic, with routines such as Fast Fourier Transform (FFT), Signal Averaging, Finite Impulse Response (FIR) Filtering, and Digital Down Conversion (DDC) playing a critical role in transforming raw data into meaningful information. High-quality digital signal processing equipment is absolutely CRITICAL if you want to perform these intricate tasks with precision, speed, and reliability.
- Fast Fourier Transform (FFT): FFT is a highly efficient algorithm used to convert a signal from its original time or space domain into a representation in the frequency domain. High-quality DSP equipment ensures that FFT operations are performed accurately and swiftly, allowing for real-time analysis of signals, such as those in audio processing or telecommunications.
- Signal Averaging: In environments with high noise levels, signal averaging is a powerful technique used to enhance the signal-to-noise ratio. Reliable DSP equipment is capable of performing multiple iterations of averaging accurately, helping to isolate the true signal from the surrounding noise.
- Finite Impulse Response (FIR) Filtering: FIR filters are crucial in many DSP applications, including echo cancellation, radar systems, and audio signal processing. Quality DSP equipment guarantees the precise execution of FIR filtering, resulting in cleaner, clearer signals.
- Digital Down Conversion (DDC): DDC is a vital process in the field of communications, enabling the translation of high-frequency signals to lower frequencies for easier processing. Superior DSP equipment ensures this conversion process is seamless and precise, preserving the integrity of the original signal.
Put Your Faith in GaGe to Stay Ahead
Investing in quality digital signal processing equipment makes a significant difference. Be it in telecommunications, engineering, audio processing, or any other field that relies on digital signal processing, quality equipment allows you to extract the maximum value from your data. Contact GaGe to learn more about how our equipment has changed the way industries have operated for years to come.
Performing real-time digital signal processing (DSP) routines such as Fast Fourier Transform (FFT), Signal Averaging, Finite Impulse Response (FIR) Filtering, Digital Down Conversion (DDC) and more have traditionally required the use of dedicated DSP processors, Field Programmable Gate Arrays (FPGAs), or Application Specific Integrated Circuits (ASICs).
The size of DSP processors, FPGAs, and ASICs are often resource limited and require significant development with specialized engineering skills in particular languages and platform tools that are often native and proprietary to the targeted device. These solutions are typically expensive in terms of the physical devices, required software development tools, lengthy development cycles and expertise resources.
With the evolution of increasing multi-core CPU resources, developers began to implement DSP routines utilizing the host CPU. The primary advantage of the host CPU platform is that it enables faster development utilizing more familiar programming environments such as C; as opposed to more complex VHDL based programming that is typically required for FPGAs. However a disadvantage is that the host CPU platform may still not be powerful enough to conduct complex processing routines, especially for real-time application requirements.
The use of a GPU provides the best of both capabilities, a fast familiar programming development environment such as C and more powerful computational capabilities than the host CPU platform to satisfy demanding real-time application requirements. GPUs incorporate many more cores with a high-speed memory bus that can be effectively utilized in parallel for efficient manipulation of large blocks of data.
The PCI Express (PCIe) interface bus is the key pathway for transferring data to and from the GPU at very high-speeds. Taking advantage of the GaGe eXpert PCIe Data Streaming firmware capability, GaGe CompuScope PCIe Digitizer models can simultaneously acquire and stream data to the GPU at sustained rates up to 5 GB/s via a PCIe Gen3 interface.
The Gage CompuScope C Software Development Kit (SDK) provides ready-made compiled sample programs illustrating how to configure and use the eXpert PCIe Data Streaming feature to stream acquired data to the GPU for processing AND how to effectively exploit the parallelized vector processing of the GPU to attain processing rates anywhere from 10X ~ 100X faster than the host CPU for display analysis.
This enables end users to quickly and easily begin working with GPU cards, focusing on the development of their custom in-line processing routines that is unique to their application. Projects can be developed rapidly and are more transportable working in a C programming environment with the GPU CUDA library.
The Gage CompuScope C SDK sample programs also illustrate streaming GPU processed data results continuously to high-speed storage for real-time data recordings of the processed output. Utilizing PCIe based storage systems allow for continuous signal capture and processing recording systems at high-speed sustained transfer rates at up to 5 GB/s within a Windows based environment.
GPU processed data can also be optionally streamed to PCIe Arbitrary Waveform Generators to effectively playback modified signals back out to the testing environment, suitable for applications such as Digital Radio Frequency Memory (DRFM).
| CompuScope GPU CUDA Processing Products and Part Numbers | ||
| GPU CUDA Processing: Requires eXpert PCIe Data Streaming Firmware. GPU CUDA Examples Included in SDK for C/C#. NOTE: GPU Card NOT Included. The eXpert PCIe Data Streaming Firmware is compatible for use with the following GaGe Digitizer Model Series sold separately:
Please refer to the separate GaGe product datasheets for these digitizer models for their full specification details and ordering information. | Order | |