引用 Introducing FPGA Support The Intel CV SDK Beta enables Convolutional Neural Network (CNN) workload acceleration on platforms with the Intel® Arria® FPGA. The Deep Learning Deployment Toolkit and OpenVX functions are extended to now deliver inferencing on the FPGA. To learn more about new features that include enhanced deep learning, supported topologies, and improved performance, see the Intel® Arria® FPGA Support Guide. For deeper technical details and access to collateral, contact your Intel representative or send us an email.
リリースノートには、
引用 Introducing FPGA Support － This release introduces CV SDK Beta support for Convolutional Neural Network (CNN) workload acceleration on Intel® platforms with an Intel® Arria® class FPGA. In this release we have extended the Model Optimizer and Inference Engine as well as OpenVX* to support inferencing on the FPGA. To learn more about new features that include enhanced deep learning, supported topologies and improved performance, see the Developer Guides for Intel OpenVX and October 2017 5 Deep Learning Inference Engine. For deeper technical details and access to collateral please contact your Intel representative.
そして、Intel® FPGA Supportにもう少し詳しく書いてあるよ。
Vision Algorithm Designer (VAD)というツールもあるんだね。
やっぱ、Intel凄いわ。
P.S
下記のように、MXNetもサポート
• MXNet* Framework Support
－ Deep Learning Model Optimizer now supports MXNet* trained networks.
Validated on VGG-16, VGG-19, SqueezeNet_v1.1, Inception BN, CaffeNet, SSDResNet-50,
Fast MRF CNN. Additional topologies will be supported in next releases.
下記のように、MXNetもサポート
• MXNet* Framework Support
－ Deep Learning Model Optimizer now supports MXNet* trained networks.
Validated on VGG-16, VGG-19, SqueezeNet_v1.1, Inception BN, CaffeNet, SSDResNet-50,
Fast MRF CNN. Additional topologies will be supported in next releases.
