73035 LBNL true https://github.com/LBL-CoDEx/exasat OS S 2017-04-24 ExaSat: An Exascale Static Analysis Tool (ExaSat) v1.0 ExaSat v.1.0 https://doi.org/10.11578/dc.20220414.47 The ExaSAT framework automates the extraction of parameterized performance models directly from source code using compiler analysis. Its parameterized analytic model enables quantitative evaluation of a broad range of hardware design trade-offs and software optimizations on a variety of different performance metrics, with a primary focus on data movement as a metric. ExaSAT analysis provides insights in the hardware and software tradeoffs and lays the groundwork for exploring a more targeted set of design points using cycle-accurate architectural simulators and emulators. United States https://github.com/LBL-CoDEx/exasat/blob/master/LICENSE LAWRENCE BERKELEY NATIONAL LABORATORY 7458; 2016-202 2022-04-14 2022-04-28 false false Cy Chan Tan Nguyen USDOE AC02-05CH11231 true Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) true NA Other