Author:
Froehlich Saman,Große Daniel,Drechsler Rolf
Publisher
Springer International Publishing
Reference27 articles.
1. Liu, S., Pattabiraman, K., Moscibroda, T., Zorn, B.G.: Flikker: saving dram refresh-power through critical data partitioning. SIGPLAN Not. 46(3), 213–224 (2011)
2. Ataei, S., Stine, J.E.: A 64 kb approximate sram architecture for low-power video applications. IEEE Embed. Syst. Lett. 10, 10–13 (2017)
3. Baker, R.J.: CMOS Circuit Design, Layout, and Simulation, 3rd edn. Wiley-IEEE Press, Hoboken (2010)
4. Lui, J., Jaiyen, B., Kim, Y., Wilkerson, C., Mutlu, O.: An experimental study of data retention behavior in modern dram devices: implications for retention time profiling mechanisms. In: Proceedings of the 40th Annual International Symposium on Computer Architecture (ISCA), pp. 60–71 (2013)
5. Sampson, A., Dietl, W., Fortuna, E., Gnanapragasam, D., Ceze, L., Grossman, D.: EnerJ: approximate data types for safe and general low-power computation. In: Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), pp. 164–174 (2011)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Approximate Memory with Protected Static Allocation;2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2022-11
2. SmartApprox: Learning-based configuration of approximate memories for energy-efficient execution;Sustainable Computing: Informatics and Systems;2022-04
3. Transparent Resilience for Approximate DRAM;Architecture of Computing Systems;2021