SRAM Scaling Issues, and What Comes Next (2024)
semiengineering.com·11h·
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The inability of SRAM to scale has challenged power and performance goals forcing the design ecosystem to come up with strategies that range from hardware innovations to re-thinking design layouts. At the same time, despite the age of its initial design and its current scaling limitations, SRAM has become the workhorse memory for AI.

SRAM, and its slightly younger cousin DRAM, have always come with tradeoffs. SRAM is most commonly configured with six transistors, which gives it faster access times than DRAM, but at the price of using more energy for reads and writes. By contrast, DRAM …

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