CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit
CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit
复制标题
CONTRA：忆阻内存处理单元的区域受限技术映射框架
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Shahar Kvatinsky
中科院分区：
文献类型：
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作者：
Debjyoti Bhattacharjee;A. Chattopadhyay;Srijit Dutta;R. Ronen;Shahar Kvatinsky
数据密集型应用程序被中毒，可以直接从内存平台中受益，例如，允许利用数据局部性和执行状态逻辑操作的记忆处理单元。 。 ）在横梁阵列上的输入函数最大化并行操作，并使用新颖的搜索技术在数组中最佳地移动数据我们的实验证明，大型基准的尺度允许将基准映射到较小的横杆尺寸，而不是以前的任何其他技术，同时允许各种各样的区域差异。与七种现有的技术映射方法相比，比2.1×至13.1×。
Data-intensive applications are poised to benefit directly from processing-in-memory platforms, such as memristive Memory Processing Units, which allow leveraging data locality and performing stateful logic operations. Developing design automation flows for such platforms is a challenging and highly relevant research problem. In this work, we investigate the problem of minimizing delay under arbitrary area constraint for MAGIC-based in-memory computing platforms. We propose an end-to-end area constrained technology mapping framework, CONTRA. CONTRA uses Look-Up Table (LUT) based mapping of the input function on the crossbar array to maximize parallel operations and uses a novel search technique to move data optimally inside the array. CONTRA supports benchmarks in a variety of formats, along with crossbar dimensions as input to generate MAGIC instructions. CONTRA scales for large benchmarks, as demonstrated by our experiments. CONTRA allows mapping benchmarks to smaller crossbar dimensions than achieved by any other technique before, while allowing a wide variety of area-delay trade-offs. CONTRA improves the composite metric of area-delay product by 2.1× to 13.1× compared to seven existing technology mapping approaches.