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.

COPYRIGHT AND LICENSE

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met.

Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the Hong Kong University of Science and Technology nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.