COSMIC


Statistical Multiprocessor Benchmark Suite

Heterogeneous multiprocessor/multicore/manycore systems are promising alternatives to traditional homogeneous multiprocessor systems and can potentially offer better tradeoffs among energy efficiency, performance, flexibility, scalability, and cost. However exploring their heterogeneities is not well supported by traditional benchmarks which rely on compliers and operating systems developed for homogenous multiprocessor systems. To overcome these issues, this project developed a realistic statistical multiprocessor benchmark suite called COSMIC (Communication-Observant Schedulable Memory-Inclusive Computation).

Project Member: Fan Jiang, Shixi Chen, Jiang Xu, Jun Feng, Xiao Li, Chengeng Li, Lin Chen

Maintained by: Fan Jiang (fjiangad@connect.ust.hk). If there is any inquiry or suggestion, please do not hesitate to contact us.

Past Member: Rafael Kioji Vivas Maeda, Zhongyuan Tian, Zhe Wang, Weichen Liu, Peng Yang, Haoran Li, Xiaowen Wu, Zhehui Wang, Xuan Wang, Yaoyao Ye, Mahdi Nikdast, Luan H.K. Duong, Xuanqi Chen

Download User Manual

Or you can download the full package directly.

Download COSMIC 4.0 (7.2GB)

AGREEMENT

COSMIC is made openly available under the following license. Please cite the following paper if it is used.

  • Rafael Kioji Vivas Maeda, Qiong Cai, Jiang Xu, Zhe Wang, Zhongyuan Tian, “Fast and Accurate Exploration of Multi-Level Caches Using Hierarchical Reuse Distance,” in Proceedings of IEEE Symposium on High Performance Computer Architecture (HPCA), Austin, USA, February 2017.

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