返回
Sim2PIM: A complete simulation framework for Processing-in-Memory?
DOI:10.1016/j.sysarc.2022.102528.png)
摘要
En 中文
With the help of modern memory integration technologies, Processing-in-Memory (PIM) has emerged as a practical approach to mitigate the memory wall while improving performance and energy efficiency in contemporary applications. Since these designs encompass accelerating and increasing the efficiency of critical specific and general-purposed applications, it is expected that these accelerators will be coupled to existing systems and consequently with systems capable of multi-thread computing. However, there is a lack of tools capable of quickly simulating different PIMs designs and their suitable integration with other hosts. This gap is even worse when considering simulations of multi-core systems. This work presents Sim2PIM, a Simple Simulator for PIM devices that seamlessly integrates any PIM architecture with the host processor and memory hierarchy. The framework simulation achieves execution speeds and accuracy on par with the perf tool on host code, less than 10% run-time overhead, and around 2% difference in metrics. Additionally, by exploring the thread parallelism in the application and utilizing the host hardware, Sim2PIM can achieve more than 8x simulation speedup compared to a sequential simulation and orders of magnitude compared to other simulators. Sim2PIM is available to download at https://pim.computer/.
Keyword:
Processing-in-Memory
Simulator
Performance
Cycle accurate
Multi-threaded
期刊
IF:
4.1
论文数:
3.0K
被引数:
4.2K
机构
引用论文
A Hybrid Prediction Model for Solar Radiation Based on Long Short-Term Memory, Empirical Mode Decomposition, and Solar Profiles for Energy Harvesting Wireless Sensor Networks
Energies
IF0
Latent dimensions of social anxiety disorder: A re-evaluation of the Social Phobia Inventory (SPIN)社交焦虑障碍的潜在维度: 对社交恐惧症量表 (SPIN) 的重新评估
Relationship between Pyrophosphate Content and Oxytetracycline Labelling of Bone Salt焦磷酸盐含量与骨盐四环素标记之间的关系
Nature
IF0

