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| Virtual Ethernet Application |[Example Application](sdk/apps/virtual-ethernet)|[HDK SDE Example](hdk/cl/examples/cl_sde)| The Virtual Ethernet framework facilitates streaming Ethernet frames from a network interface (or any source) into the FPGA for processing and back out to some destination. Possible use cases for this include deep packet inspection, software defined networking, stream encryption or compression, and more. |
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| Pipelined Workload Applications |[cl\_dram\_dma\_data\_retention](hdk/docs/data_retention.md)|[HDK](hdk/cl/examples/cl_dram_dma/software/runtime/test_dram_dma_retention.c)[SDAccel](SDAccel/examples/aws/data_retention)| Demonstrates how to preserve data in DRAMs while swapping out accelerators. Applications that use a temporal accelerator pipeline can take advantage of this feature to reduce latency between FPGA image swaps |
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| Digital Up-Converter using High Level Synthesis |[cl\_hls\_dds\_hlx](hdk/cl/examples/cl_hls_dds_hlx)| HLx - C-to-RTL | Demonstrates an example application written in C that is synthesized to RTL (Verilog) |
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| Security |[AES, RSA, SHA1](https://github.com/Xilinx/SDAccel_Examples/tree/master/security)| SDAccel - C/C++/OpenCL | Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up security software algorithms |
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| Security |[AES, RSA, SHA1](https://github.com/Xilinx/SDAccel_Examples/tree/2018.2/security)| SDAccel - C/C++/OpenCL | Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up security software algorithms |
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| Computer Vision |[Affine, Convolve, Huffman, IDCT](https://github.com/Xilinx/SDAccel_Examples/tree/master/vision)| SDAccel - C/C++/OpenCL | Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up image detection algorithms |
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| Misc Algorithms |[Kmeans, SmithWaterman, MatrixMult](https://github.com/Xilinx/SDAccel_Examples/tree/master/acceleration)| SDAccel - C/C++/OpenCL | Developed using software defined acceleration, this example demonstrates methods of applying hardware acceleration to a variety of sorting and search algorithms |
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| Financial |[Blacksholes, Heston](https://github.com/KitAway/FinancialModels_AmazonF1)| SDAccel - C/C++/OpenCL | Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration on Monte Carlo financial models |
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Developer kit versions prior to v1.3.7 and Developer AMI prior to v1.4 (2017.1) reached end-of-life. See [AWS forum announcement](https://forums.aws.amazon.com/ann.jspa?annID=6068) for additional details.
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If developing using SDAccel environment please refer to this [Runtime Compatibility Table](SDAccel/docs/Create_Runtime_AMI.md#runtime-ami-compatability-table)
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# 3. Run the FPGA accelerated application on Amazon FPGA instances
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Here are the steps:
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* Start an FPGA instance using [FPGA Developer AMI on AWS Marketplace](https://aws.amazon.com/marketplace/pp/B06VVYBLZZ) and check the AMI [compatiability table](../README.md#devAmi). Alternatively, you can [create your own Runtime AMI](docs/Create_Runtime_AMI.md) for running your SDAccel applications on Amazon FPGA instances.
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* Start an FPGA instance using [FPGA Developer AMI on AWS Marketplace](https://aws.amazon.com/marketplace/pp/B06VVYBLZZ) and check the AMI [compatiability table](../README.md#devAmi) and [runtime compatilibility table](docs/Create_Runtime_AMI.md#runtime-ami-compatability-table). Alternatively, you can [create your own Runtime AMI](docs/Create_Runtime_AMI.md) for running your SDAccel applications on Amazon FPGA instances.
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**Assuming the developer flow (compilation) was done on a separate instance you will need to:*
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* Copy the compiled host executable (exe) to new instance
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* Copy the \*.awsxclbin AWS FPGA binary file to the new instance
| 2017.4 | Runtime installed by sourcing "sdaccel_setup.sh" while using HDK Ver 1.4.X when environment variable RELEASE_VER=2017.4 |
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| 2018.2 | AWS FPGA Developer AMI 1.5.0 ( XRT is pre-installed) or [Runtime installed with XRT Version 2.1.0](https://www.xilinx.com/html_docs/xilinx2018_2_xdf/sdaccel_doc/ejy1538090924727.html)|
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## 1. Launch a Runtime Instance & Install Required Packages
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