FPGA Architecture to Enable Concurrent LUT and Adder Chain Usage” was published by researchers at Nanyang Technological ...
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 ...
Learn real-world strategies about FPGA Chip Design, Join Elektor Engineering Insights on Sept 24 at 16:00 CEST with Kevin ...
Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that ...
SAN MATEO, Calif. — Undeterred by earlier false starts for programmable ASICs, IBM Corp. and Xilinx Inc. are embarking on a plan to jointly create an architecture that melds an FPGA core with 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 ...
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 ...
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 ...
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 ...
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.
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 ...
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 ...