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Approximate memories reduce power and increase energy efficiency, at the expense of errors in stored data. These errors may be tolerated, up to a point, by many applications with negligible impact on the quality of results. Uncontrolled errors in memory may, however, lead to crashes or broken outputs.
Abstract: Approximate memories can lower energy consumption at expense of incurring errors in some of the read/write operations. While these errors may be ...
Feb 24, 2024 · We show that energy savings can be achieved when GPU core and memory clock frequencies are appropriately scaled considering the workload ...
Approximate memories can lower energy consumption at expense of incurring errors in some of the read/write operations. While these errors may be tolerated ...
Abstract—Approximate memories can lower energy consump- tion at expense of incurring errors in some of the read/write operations. While these errors may be ...
Jul 24, 2023 · In general, all of these approximation techniques lead to better energy efficiency at the cost of memory bit errors and a reduction in accuracy.
Mar 21, 2024 · This study details diverse techniques for approximate memory, provides a synopsis of recent relevant research, outlines key themes and ...
We discuss approximation for memory subsys- tem in detail in Section V. ... To explore the effect of novel actuators in the memory subsystem, Maity et al.
By ignoring coherence communication for approximate data, the proposed model gains performance and saves energy. We formally verified MESI and MESI-A protocol ...
Approximate memories can lower energy consumption at expense of incurring errors in some of the read/write operations. While these errors may be tolerated ...