The Mentor Graphics FPGA Design Tool Flow Mentor Graphics is continuing its commitment to provide a comprehensive, fully integrated suite of design tools tailored for the next generation of ...

Recently, Brian Bailey organized a round table that resulted in a two-part article called Supporting CPUs Plus FPGAs. The experts discussed the evolving reality of systems design based on FPGAs and ...

FPGAs are increasingly being used in a variety of video and image processing applications, primarily due to the increased complexity and performance requirements that such applications demand. This ...

When you think about it, logic synthesis is a vital but rather intimidating part of modern chip design. This process takes a high-level description of intended functionality, written in an RTL ...

June 23, 2014. Agilent Technologies Inc. has announced that the Agilent EEsof EDA W1462 SystemVue FPGA Architect now supports on-board FPGA design and simulation with the Agilent M9703A AXIe wideband ...

Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference.

If you’re building a data-flow-control subsystem today, you have three basic options: You can use off-the-shelf specialty memories. Consider building a custom “home-grown” solution using an FPGA or ...

SAN JOSE, Calif.--(BUSINESS WIRE)--PLDA today announced the release of version 2.0 of its QuickPlay® development platform. QuickPlay is a software defined FPGA development environment that enables ...

Mapping from a field programmable gate array (FPGA) to an application specific IC (ASIC) is subject to some limitations. This white paper identifies some of the most common limitations in this mapping ...

Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference.