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Monarch: A Durable Polymorphic Memory for Data Intensive Applications
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DOI：10.1109/TC.2022.3160608.png)
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Abstract
En 中文
3D die stacking has often been proposed to build large-scale DRAM-based caches. Unfortunately, the power and performance overheads of DRAM limit the efficiency of high-bandwidth memories. Also, DRAM is facing serious scalability challenges that make alternative technologies more appealing. This paper examines Monarch, a resistive 3D stacked memory based on a novel reconfigurable crosspoint array called XAM. The XAM array is capable of switching between random access and content-addressable modes, which enables Monarch (i) to better utilize the in-package bandwidth and (ii) to satisfy both the random access memory and associative search requirements of various applications. Moreover, the Monarch controller ensures a given target lifetime for the resistive stack. Our simulation results on a set of parallel memory-intensive applications indicate that Monarch outperforms an ideal DRAM caching by 1.21x on average. For in-memory hash table and string matching workloads, Monarch improves performance up to 12x over the conventional high bandwidth memories.
Keywords:
Random access memory
Three-dimensional displays
Voltage
Bandwidth
Memory management
Writing
Timing
Reconfigurable memory
data-intensive
content addressable memory
data parallel
novel memory systems
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