
Shattering the neural network memory wall with Checkmate
A recent paper published on arXiv by a team of UC Berkeley researchers observes that neural networks are increasingly bottlenecked and constrained by the limited
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A recent paper published on arXiv by a team of UC Berkeley researchers observes that neural networks are increasingly bottlenecked and constrained by the limited
In part one of this two-part blog series, Steven Woo, Rambus fellow and distinguished inventor, spoke with Ed Sperling of Semiconductor Engineering about utilizing various
Steven Woo, Rambus fellow and distinguished inventor, recently spoke with Ed Sperling of Semiconductor Engineering about how certain number formats can help system designers optimize
As data grows at an accelerating pace, more compute power and bandwidth are required to process this data, driving the need for larger and more
Earlier this month, Semiconductor Engineering editor-in-chief Ed Sperling hosted an industry roundtable to discuss new DRAM options and considerations. Frank Ferro, our senior director of
Written by Steven Woo Introduction The ongoing transition from 4G to 5G is driving major infrastructure upgrades that include the integration of AI and machine