The AcceDSP synthesis tool enables System Generator for DSP to support both DSP system and algorithm modeling methods by generating System Generator IP blocks based on floating-point MATLAB models.

Nevertheless, an FPGA option is too expensive for high-volume applications, such as domestic appliances; for those appliances, IR will produce configurable versions of the most common algorithms in ...

The NSF has funded projects that will investigate how deep learning algorithms run on FPGAs and across systems using the high-performance RDMA interconnect. Another project, led by Andrew Ng and ...

Microchip has released a C++ algorithm high-level synthesis design workflow for its PolarFire FPGAs. “A large majority of edge compute, computer vision and industrial control algorithms are developed ...

Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). ZTE’s engineers used Intel’s midrange Arria 10 FPGA for a cloud inferencing ...

To dramatically simplify the path from image and signal processing algorithms to FPGA implementation, designers should choose an abstract language-based synthesis technology to use the executable ...

You must rewrite code to replace high-level functions and operators with low-level models that reflect the actual hardware macro-architecture. And simulation run times can be as much as 50 times ...

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on ...

The PROC reconfigurable systems are used to accelerate complex algorithms that include DSP, image processing, national security and other performance critical domains.