Flexible and novel partitioning strategy for hierarchically design
Gurinder Singh Baghria, Kushagra Khorwal, Naveen Kumar - Freescale
EETimes (12/27/2012 11:10 AM EST)
In the competitive semiconductor world, most of the organization tries to put many applications and features into a single design. To come up with the demanding multi-featured design, SoCs are getting complex and a need to perform the design hierarchically arises. In deep sub-micron technology nodes, the biggest challenge in hierarchical design is signal routing closure for the top level which have huge number of partitions, and to decide the target standard cell utilization for partitions. During the initial phase of the design cycle it is very difficult to predict the standard cell utilization for the hierarchical sub-blocks/partitions. Over or under estimation/planning in allotting area between sub-partitions will lead to die area wastage or a cycle time hit respectively. Efficient planning for complex designs is necessary for on time design closure and deployment of a flexible and novel partitioning strategy which is described in this paper. It helps to reduce late stage surprises such as routing congestion at the top level without entering into an iterative process by using virtual area reduction for sub partitions.
To read the full article, click here
Related Semiconductor IP
- JESD204E Controller IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
Related Articles
- A novel 3D buffer memory for AI and machine learning
- Design and Implementation of Test Infrastructure for Higher Parallel Wafer Level Testing of System-on-Chip
- Design and implementation of a hardened cryptographic coprocessor for a RISC-V 128-bit core
- Generative AI for Analog Integrated Circuit Design: Methodologies and Applications
Latest Articles
- Crypto-RV: High-Efficiency FPGA-Based RISC-V Cryptographic Co-Processor for IoT Security
- In-Pipeline Integration of Digital In-Memory-Computing into RISC-V Vector Architecture to Accelerate Deep Learning
- QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
- ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
- COVERT: Trojan Detection in COTS Hardware via Statistical Activation of Microarchitectural Events