NDLI: Student Research Poster: From Processing-in-Memory to Processing-in-Storage

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Student Research Poster: From Processing-in-Memory to Processing-in-Storage

Content Provider	ACM Digital Library
Author	Kaplan, Roman
Abstract	In Most contemporary high performance computers are based on von Neumann architecture. It is widely recognized that such architecture suffers from CPU-memory bottleneck. The problem affects both performance and power efficiency of multicore and manycore architectures. With continuation of CPU scaling (driven by Moore's law and parallelization), the von Neumann bottleneck problem will become even more acute. Another major factor affecting today's high performance computing is the slowdown in scaling of traditional charge-based memories such as DRAM and NAND Flash. In response, many novel nano-devices and materials are under investigation to create an alternative to charge-based memory, namely resistive memory. Such alternatives include memristors, RRAM, PCM, 3D Xpoint, STT-MRAM and others. These technologies have a wide range of potential applications beyond memory, including solid state disks, digital computing, neuromorphic computing, etc. New approaches for processing-in-memory (PiM) have been suggested. One promising technology is 3D stacking, which integrates separate logic and DRAM layers with high-bandwidth, low-energy through-silicon vias. Leveraging 3D stacking technology, researchers have proposed near-DRAM acceleration architectures that integrate accelerator logic and custom 3D DRAM devices. They focus on either accelerator architecture, where the memory system is separate from the host processor's main memory system or the integration of accelerators and DRAM.
Starting Page	453
Ending Page	453
Page Count	1
File Format	PDF
ISBN	9781450341219
DOI	10.1145/2967938.2971463
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	In storage processing In memory processing Content addressable memory
Content Type	Text
Resource Type	Article

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