By Nitin Dahad, EEtimes
July 10, 2019
A Cambridge UK-based startup is looking to address the memory bottleneck (or tailback) in high-performance computing with a new memory chip design dedicated to handling large data sets and time-critical data.
Blueshift Memory, which was started by and currently consists of a team of three computer scientists, has successfully demonstrated its new memory model in a Xilinx FPGA. The company is now on the hunt for investors to fund the development of a chip.
We spoke to Peter Marosan, CTO of Blueshift Memory, to find out exactly what the company is trying to do. It is essentially optimizing the memory architecture so that large data sets and time-critical data can be more efficiently handled, hence speeding up memory access speeds up to 1,000 times for specific data-focused applications.
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