
This repo contains necessary files to build and run microSCALE ### Build: docker build -t microscale . ### Run a predefined program (we have included some of the test programs): docker run microscale gift_1round docker run microscale AES_sbox docker run microscale PRESENT_sbox docker run microscale ASCON_sbox docker run microscale giftsbox docker run microscale locality_refresh docker run microscale full_refresh docker run microscale dom_and docker run microscale isw_xor Append --order 2 to use leakage_checker2.py for second order leakage (default is --order 1): ### Run a custom .s file: docker run -v /path/to/your_file.s:/app/programs/your_file.s microscale custom --shares 2 --variables 2 --randoms 1 --program programs/your_file.s --graph Rocket --order 1 ### Example with codes inside container: docker run microscale custom --shares 2 --variables 2 --randoms 1 --program programs/test_loop.s --graph Rocket --order 1 ### Other codes graph_maker.py - used to make MDG (microarchitecture dependency graphs) lookup_table_maker.py - used to make opcode specific subgraphs main.py - main microSCALE framework which does operand propagation leakage_checker1.py - first order leakage checker leakage_checker2.py - second order leakage checker
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
