Search Results for author: Mehmet Meric Isgenc

Found 2 papers, 0 papers with code

Efficient Deep Learning Using Non-Volatile Memory Technology

no code implementations27 Jun 2022 Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

DeepNVM++ is demonstrated on STT-/SOT-MRAM technologies and can be used for the characterization, modeling, and analysis of any NVM technology for last-level caches in GPUs for DL applications.

DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning

no code implementations8 Dec 2020 Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

Under iso-area assumptions, STT-MRAM and SOT-MRAM provide up to 2x and 2. 3x EDP reduction and accommodate 2. 3x and 3. 3x cache capacity when compared to SRAM, respectively.

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