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 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.

Yao says “The FPGA based DPU platform achieves an order of magnitude higher energy efficiency over GPU on image recognition and speech detection.” Deephi believes a joint optimization between ...

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 ...

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 ...

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 ...

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 ...

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.

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