arXiv Open Access 2024

PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators

Xinyu Wang Xiaotian Sun Yinhe Han Xiaoming Chen

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Abstrak

Processing-in-memory (PIM) has shown extraordinary potential in accelerating neural networks. To evaluate the performance of PIM accelerators, we present an ISA-based simulation framework including a dedicated ISA targeting neural networks running on PIM architectures, a compiler, and a cycleaccurate configurable simulator. Compared with prior works, this work decouples software algorithms and hardware architectures through the proposed ISA, providing a more convenient way to evaluate the effectiveness of software/hardware optimizations. The simulator adopts an event-driven simulation approach and has better support for hardware parallelism. The framework is open-sourced at https://github.com/wangxy-2000/pimsim-nn.

Topik & Kata Kunci

cs.AR

Penulis (4)

Xinyu Wang

Xiaotian Sun

Yinhe Han

Xiaoming Chen

Format Sitasi

APA MLA BibTeX

Wang, X., Sun, X., Han, Y., Chen, X. (2024). PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators. https://arxiv.org/abs/2402.18089

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓