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.

You design through a parameter-entry screen, and the system automatically generates configuration code for an FPGA that is at the heart of the control scheme. The performance, which IR says greatly ...

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 ...

LegUp can also run Libero synthesis on the generated Verilog to determine the FPGA area and Fmax. As well as PolarFire, the tool supports SmartFusion2 FPGAs. “Writing C++ software code is easier for ...

As Yao says, “the algorithm designer doesn’t need to know anything about the underlying hardware. This generates instruction instead of RTL code, which leads to compilation in 60 seconds.” This is the ...

Harris explained the idea behind the project: “We were inspired after talking to a few people who had been working on machine learning with FPGAs from the Microsoft brainwave team, and seeing on ...

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 ...

Algorithms are usually defined in an executable format. C or MATLAB are the two most common languages and many developers throw out the executable specification to rewrite the algorithm in RTL, which ...

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 ...