Ohm-GPU: Integrating New Optical Network and Heterogeneous Memory into GPU Multi-Processors

@article{Zhang2021OhmGPUIN,
  title={Ohm-GPU: Integrating New Optical Network and Heterogeneous Memory into GPU Multi-Processors},
  author={Jie Zhang and Myoungsoo Jung},
  journal={MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture},
  year={2021}
}
  • Jie Zhang, Myoungsoo Jung
  • Published 12 September 2021
  • Computer Science
  • MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture
Traditional graphics processing units (GPUs) suffer from the low memory capacity and demand for high memory bandwidth. To address these challenges, we propose Ohm-GPU, a new optical network based heterogeneous memory design for GPUs. Specifically, Ohm-GPU can expand the memory capacity by combing a set of high-density 3D XPoint and DRAM modules as heterogeneous memory. To prevent memory channels from throttling throughput of GPU memory system, Ohm-GPU replaces the electrical lanes in the… Expand

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