3 citations · 4 across the 3 of their papers we have counts for
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cs.DC2020★ 1 cited
Assessing Impact of Data Partitioning for Approximate Memory in C/C++ Code
Soramichi Akiyama
Approximate memory is a technique to mitigate the performance gap between memory subsystems and CPUs with its reduced access latency at a cost of data integrity. To gain benefit fr…
cs.DC2018★ 3 cited
Reactive NaN Repair for Applying Approximate Memory to Numerical Applications
Shinsuke Hamada, Soramichi Akiyama, Mitaro Namiki
Applications in the AI and HPC fields require much memory capacity, and the amount of energy consumed by main memory of server machines is ever increasing. Energy consumption of ma…