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Memory Centric Computing

University of Wisconsin_Madison_031422A
[University of Wisconsin-Madison]


- Memory (Bandwidth and Capacity) Wall

The "memory wall" problem, originally posed by Wulf and McKee in the 1990s, states that microprocessor performance is increasing much faster than DRAM memory speed. This trend makes the memory subsystem one of the most critical system-level performance bottlenecks. 

In addition to the memory "bandwidth" wall, computer system designers are also noticing the emergence of a new memory wall in the data center, one of memory "capacity," where peak imbalances in compute versus memory capacity require hyperscalers to overprovision each server's memory is sized for worst-case usage, resulting in significant memory underutilization. 

To overcome the memory wall problem, computer architects have conducted two important studies, one is memory processing (to solve the problem of memory bandwidth) and the other is memory decomposition (to solve the problem of memory capacity).



[More to come ...]



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