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PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques

2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)(2022)

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Abstract
DRAM-based main memory is used in nearly all computing systems as a major component. Modern memory-intensive workloads have increasing memory bandwidth, latency, and capacity requirements. However, DRAM vendors often prioritize memory capacity scaling over latency and bandwidth [1]–[4]. As a result, main memory is an increasingly worsening bottleneck in computing systems [3,5–9].
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PiDRAM,FPGA-based framework,end-to-end evaluation,processing-in-DRAM techniques,DRAM-based main memory,computing systems,modern memory-intensive workloads,memory bandwidth,capacity requirements,DRAM vendors,memory capacity,increasingly worsening bottleneck
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