FPGAs might not have carved out a niche in the deep learning training space the way some might have expected but the low power, high frequency needs of AI inference fit the curve of reprogrammable ...

AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a ...

A technical paper titled “Duet: Creating Harmony between Processors and Embedded FPGAs” was written by researchers at Princeton University. “The demise of Moore’s Law has led to the rise of hardware ...

When designing IP for system-on-chip (SoC) and application-specific integrated circuit (ASIC) implementations, IP designers strive for perfection. Optimal engineering often yields the smallest die ...

Until relatively recently, the majority of FPGA architectures were developed using 4-input lookup tables (LUTs), where each LUT is constructed from SRAM bits storing digital (0 or 1) information. Also ...

FPGAs can have a steep learning curve, so getting started tutorials are a popular topic. Intel recently published a video titled “Basics of Programmable Logic: FPGA Architecture” and you can see it ...

Defined as revolutionary, the Application Specific Modular Block (ASMBL) architecture promises rapid, cost-effective deployment of multiple domain-specific FPGA platforms with a blend of features.

Though FPGA designers have tried to keep FPGAs as generic as possible, Xilinx feels it's time to craft FPGAs that are more in tune to specific market segments. To do this, its next-generation Virtex ...

LONDON — Fabless FPGA startup Tabula Inc. has announced the architecture of its 3-D programmable logic devices (3PLD), which it is calling Spacetime, because it uses the temporal domain as third ...

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice, the hurdles of getting from concept to high performance hardware ...