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 ...

In the last couple of years, we have written and heard about the usefulness of GPUs for deep learning training as well as, to a lesser extent, custom ASICs and FPGAs. All of these options have shown ...

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 ...

We just love it that he details how to get the information you’re looking for out of this document, and shows his method of turning that first into a flow chart and then into code for the FPGA.

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 ...

The real beauty of this algorithm is that you can implement it with a very small FPGA footprint. CORDIC requires only a small lookup table, along with logic to perform shifts and additions.

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