In recent years, a number of chipmakers have answered customers' calls to reduce development costs with some kind of fancy mask-programmable part. But IBM Microelectronics and Xilinx Inc. have so far ...
XLNX announced today that it has begun shipment of the one-million system-gate radiation hardened Virtex® FPGAs, the XQVR1000(TM) device, to the Jet Propulsion Laboratory and other customers for ...
FPGA provider to Aerospace & Defense industry provides design flexibility and critical design services for U.S. government national oceanic & atmospheric project SAN JOSE, Calif., May 1, 2007 – ...
Every new hardware device that offers some kind of benefit compared to legacy devices faces the task of overcoming the immense inertia that is imparted to a platform by the software that runs upon it.
Xilinx, Inc. (NASDAQ: XLNX) announced today that hundreds of its Space Grade FPGAs were deployed in the launch of the Iridium NEXT satellites. Space Grade Virtex®-5QV devices provide scalability and ...
Framingham, MA -- May 12, 2021 -- Bluespec, Inc., a founding member of RISC-V International and supplier of RISC-V processor IP and tools, announced that they have joined the Xilinx Partner Program ...
Meeting with Xilinx and its partners this week at Amazon AWS re:Invent gave me a chance to understand where FPGAs are making progress, and what is preventing them from making more. If you recall, the ...
San Jose, Calif. – In recent years, more than a few chip vendors have answered customers' calls to reduce development costs with some kind of fancy mask-programmable part. But IBM Microelectronics and ...
A field programmable gate array (FPGA) is a user-programmable piece of silicon constructed in very large-scale integration (VLSI) technology. The VLSI transistor-level detail is absolutely predefined ...
Most Americans consider Black Friday to be the biggest shopping extravaganza of the year. No doubt it is huge, with an estimated $5B in all U.S. retail sales (online and in-store) on Black Friday 2017 ...
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 ...