Easy to Build
Boosted developer efficiency for quick prototyping of novel computer designs with a modular and consistent framework.
High Performance
High-performance simulation through features like Smart Ticking, Availability Backpropagation, and parallel simulation.
Observability & Explainability
Deep insights into simulations through AkitaRTM for real-time monitoring and Daisen for detailed execution analysis.
Akita Simulators
Community Events
Publications
#7
Papers that Design/Improve Simulators
- 2024, Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM, Ali Mosallaei; Katherine E. Isaacs; Yifa...
- 2023, Photon: A fine-grained sampled simulation methodology for gpu workloads, Changxi Liu, Yifan Sun, Trevor E. Carlso...
- 2023, Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study, Shaoyu Wang, Hang Yan, Katherine E. Isaa...
- 2022, Navisim: A Highly Accurate GPU Simulator for AMD RDNA GPUs, Yuhui Bao, Yifan Sun, Zlatan Feric, Mich...
- 2021, Daisen: A Framework for Visualizing Detailed GPU Execution, Yifan Sun, Yixuan Zhang, Ali Mosallaei, ...
#26
Papers that use Akita Simulators
- 2025, ACTA: Automatic Configuration of the Tensor Memory Accelerator for High-End GPUs, Nicolás Meseguer, Yifan Sun, Michael Pel...
- 2025, Exploring the Wafer-Scale GPU, Daoxuan Xu, Le Xu, Jie Ren, Yifan Sun
- 2025, OASIS: Object-Aware Page Management for Multi-GPU Systems, Yueqi Wang, Bingyao Li, Mohamed Tarek Ib...
- 2025, REC: Enhancing fine-grained cache coherence protocol in multi-GPU systems, Gun Ko, Jiwon Lee, Hongju Kal, Hyunwuk L...
- 2024, STAR: Sub-Entry Sharing-Aware TLB for Multi-Instance GPU, Bingyao Li, Yueqi Wang, Tianyu Wang, Lie...