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 ...
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 ...
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 ...
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 ...
A vendor-independent design approach that allows design development independent of the target FPGA architecture can pay big dividends. Programmable logic in today's FPGAs now provides more than just ...
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 ...
ALISO VIEJO, Calif., Nov. 16, 2016 – Microsemi Corporation (Nasdaq: MSCC), a leading provider of semiconductor solutions differentiated by power, security, reliability and performance, today announced ...
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 ...
Fujitsu has collaborated with the University of Toronto to develop a new computing architecture to tackle a range of real-world issues by solving combinatorial optimization problems, which involve ...
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