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.

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 ...

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 ...

Microchip Technology has added an HLS design workflow, called SmartHLS, to its PolarFire FPGA families to allow C++ algorithms to be directly translated to FPGA-optimised Register Transfer Level (RTL) ...

Field-programmable gate arrays (FPGAs) offer a unique platform for the implementation of high-performance sorting algorithms by combining inherent parallelism with customisable hardware architectures.

Floating-point is the most preferred data type to ensure high-accuracy calculations for algorithm modeling and simulation. Traditionally, when you want to deploy such floating-point algorithms to 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 ...

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 ...

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.