Many research projects over the past decade have explored embedding processing logic into the memory system of a computer as a means to enhance performance. An obstacle to widespread acceptance of processing-in-memory (PIM) has been the increased cost-per-bit of embedded memory as compared to high-volume commodity memory. Using analytic models, this paper examines the performance and volume production silicon costs for a PIM-enhanced system with multithreading in the memory, versus a baseline system with commodity DRAM. The paper provides insight into the question of which PIM configurations would provide cost-effective performance if they were produced in high volume
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