Synthesizable Memory Models
Synthesizable Memory Models is a computational framework within memory modeling that enables the systematic generation and integration of diverse memory representations through formally defined, composable operations, distinguishing it from non-synthesizable or ad hoc memory architectures by its emphasis on interoperability, scalability, and theoretical consistency across cognitive and artificial systems.
24
Publications
1.6K
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78
Authors
34
Institutions
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2017–2026
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Generation of a Synthetic Memory Trace
Aleena R. Garner, David C Rowland, Sang Youl Hwang et al. · Science · 2012 · 395 citations
OpenRAM: an open-source memory compiler
Matthew R. Guthaus, James E. Stine, Samira Ataei et al. · 2016 · 164 citations · Full text
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University of Bologna
Bologna, Italy
3 h-index
6 publications
128 citations
University of Kaiserslautern
Kaiserslautern, Germany
3 h-index
6 publications
128 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
2 publications
93 citations
Stanford University
Stanford, United States
2 h-index
4 publications
146 citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
93 citations

University of Notre Dame
Notre Dame, United States
2 h-index
4 publications
484 citations
Korea University
Seoul, South Korea
2 h-index
5 publications
169 citations

Sofia University "St. Kliment Ohridski"
Sofia, Bulgaria
2 h-index
2 publications
93 citations
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Repository · 1 publications · 16 citations
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1 publications · 125 citations
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1 publications · 117 citations
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1 publications · 395 citations
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1 publications · 17 citations
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