Managing power and performance for System-on-Chip designs using Voltage Islands
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
SPARK: A High-Lev l Synthesis Framework For Applying Parallelizing Compiler Transformations
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Speed and voltage selection for GALS systems based on voltage/frequency islands
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Design and management of voltage-frequency island partitioned networks-on-chip
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Design of complex image processing systems in ESL
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
VISION: a framework for voltage island aware synthesis of interconnection networks-on-chip
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
Clustering-based simultaneous task and voltage scheduling for NoC systems
Proceedings of the International Conference on Computer-Aided Design
High-Level Synthesis for FPGAs: From Prototyping to Deployment
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Combining module selection and replication for throughput-driven streaming programs
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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Automatic C-to-RTL (C2RTL) synthesis can greatly benefit hardware design for streaming applications. However, stringent throughput/area constraints, especially the demand for power optimization at the system level is rather challenging for existing C2RTL synthesis tools. This paper considers a power-aware C2RTL framework using voltage-frequency islands (VFIs) to address these challenges. Given the throughput, area, and power constraints, an MILP-based approach is introduced to synthesize C-code into an RTL design by simultaneously considering three design knobs, i.e., partition, parallelization, and VFI assignment to get the global optimal solution. A heuristic solution is also discussed to deal with the scalability challenge facing the MILP formulation. Experimental results based on four well known multimedia applications demonstrate the effectiveness of both solutions.