In this week’s Fish Fry, I head into the wild and woolly world of FPGAs in mobile devices, interviewing Kapil Shankar (SiliconBlue CEO) about how SiliconBlue is making waves in the mobile market and why the other FPGA companies may not be taking notice.

I also have a SiliconBlue iCEman iCE65L08-T Evaluation Kit to give away this week, but you will have to listen to find out how to win one of your very own.

If you like this new series be sure to drop a comment in the box below.

Fish Fry Links – August 12, 2011

More Information about SiliconBlue FPGAs

Kevin Morris’ Article : Tiny, Tiny Tech – SiliconBlue’s Really Small FPGAs

iCEman iCE65L08-T Evaluation Kit

Fish Fry Executive Interviews

Moshe Gavrielov, CEO – Xilinx

John Bruggeman, Former CMO – Cadence Design Systems

Darrin Billerbeck, CEO – Lattice Semiconductor

Lauro Rizzatti, Vice President of Marketing, EVE

Bill Neifert, CTO – Carbon Design Systems

Sean Dart, CEO – Forte Design Systems

An FPGA-Based Solution for a Graph Neural Network Accelerator

Sponsored by Achronix

Graph Neural Networks (GNN) drive high demand for compute and memory performance and a software only based implementation of a GNN does not meet performance targets. As a result, there is an urgent need for hardware-based GNN acceleration. While traditional convolutional neural network (CNN) hardware acceleration has many solutions, the hardware acceleration of GNN has not been fully discussed and researched. This white paper reviews the latest GNN algorithms, the current status of acceleration technology research, and discusses FPGA-based GNN acceleration technology.

Click to read more

Featured Chalk Talk

Intel NUC Elements

Sponsored by Mouser Electronics and Intel

Intel Next Unit of Computing (NUC) compute elements are small-form-factor barebone computer kits and components that are perfect for a wide variety of system designs. In this episode of Chalk Talk, Amelia Dalton chats with Kristin Brown of Intel System Product Group about pre-engineered solutions from Intel that can provide the appropriate level of computing power for your next design, with a minimal amount of development effort from your engineering team.

Click here for more information about Intel NUC 8 Compute Element (U-Series)

Everything is Coming Up Blue

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featured video

Super Resolution with ARC EV Processor IP

Featured Paper

An FPGA-Based Solution for a Graph Neural Network Accelerator

Featured Chalk Talk

Intel NUC Elements