Name
Abstract | ||
|---|---|---|
We present COBRA, a framework which enables a realistic hardware-guided methodology for evaluating compositions of hardware branch predictors. COBRA provides a common interface for developing RTL implementations of predictor subcomponents, as well as a predictor composer that automatically generates hardware predictor pipelines from sub-components based on a high-level topological model of a desir... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPASS51385.2021.00053 | 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) |
Keywords | DocType | ISBN |
Out of order,Pipelines,Computer architecture,Predictive models,Prediction algorithms,Hardware,Generators | Conference | 978-1-7281-8643-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jerry Zhao | 1 | 10 | 1.57 |
| Abraham Gonzalez | 2 | 9 | 1.56 |
| Alon Amid | 3 | 16 | 3.66 |
| Sagar Karandikar | 4 | 58 | 5.94 |
| Krste Asanović | 5 | 2975 | 226.80 |