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Let us help guide you. Download Xilinx Go Mobile App Today! GPU like development and run-time experience for FPGAs. This environment enables concurrent programming of the in-system processor and the FPGA fabric without the need for RTL design experience.
Xilinx has partnered with Nimbix Inc. The offering from Nimbix will dramatically lower the barrier to leveraging the high performance, energy efficient power of FPGAs to accelerate high end computational workflows across all industries. Developers can now run these tools in the cloud and then test and deploy on the latest Xilinx-accelerated hardware with no upfront investment or equipment purchases. The hello world example is a simple design which tests the correct installation of the FPGA acceleration boards. The example uses the printf function call inside of the kernel code to report on the values provided from the host to the kernel.
Simple example of vector addition. Simple example of vector dot-product. This example shows how data stored in global memory can be shared between kernels in different binary containers. This is an optimized implementation of the smithwaterman algorithm. The main algorithm characteristics of this application are 1.
Implementation of an AES-128 ECB Encrypt in software, followed by decryption written in OpenCL and targeting execution on an SDAccel supported FPGA acceleration card. Affine transformation is a linear mapping method that preserves points, straight lines, and planes. The convolve example is a performant design which showcases convolutional image filtering. The example processes the image 8 pixels at a time. Implementation of a Sobel Filter for edge detection.
This is an optimized implementation of a 12-bit histogram equalizer targeting execution on an SDAccel supported FPGA acceleration card. SDAccel supported FPGA acceleration card. This is an optimized implementation of a median filter being used to remove noise in images. This is an optimized implementation of a watermarking application to add watermarking to images. K-Nearest Neighbor Algorithm derived from the Rodinia Benchmark suite. This project is aimed at using SDAccel to implement the k-Nearest Neighbor algorithm onto a Xilinx FPGA. This project implements a Monte Carlo simulation of the Black-Scholes financial model, using both the European and the Asian options.
It provides much better energy-per-operation than a GPU implementation, at a comparable performance level. FPGA Acceleration Development Kit is an excellent starting point for hyperscale application developers. The ADM-PCIE-7V3 is a high performance reconfigurable half-length low profile x8 PCIe form factor board based on the Xilinx Virtex-7 range of Platform FPGAs. 0 form factor board on the Xilinx Kintex Ultrascale FPGAs. Ideal for demanding applications including high Performance computing, data processing, data center and system modeling.