Optimize your DSPs for power and performance
By Michel Laurence, Octasic
January 04, 2007 -- dspdesignline.com
The ever-growing demand for rich, multimedia signal processing in mobile devices raises a chronic technology challenge. The challenge is to squeeze higher functionality and performance within increasingly tighter power and space constraints. As a result, power-performance metrics are now a central concern in DSP design. New methods have been devised enabling designers to address the main areas of power consumption— namely leakage power, clock trees, logic transitions, and power grids— to significantly improve performance compared to conventional techniques.
In today's CMOS technology, power is consumed in two basic ways: statically and dynamically. Static power is consumed continuously—even during standby operation—through various leakage mechanisms. Dynamic power is consumed only during activity, such as logic and interface operations.
January 04, 2007 -- dspdesignline.com
The ever-growing demand for rich, multimedia signal processing in mobile devices raises a chronic technology challenge. The challenge is to squeeze higher functionality and performance within increasingly tighter power and space constraints. As a result, power-performance metrics are now a central concern in DSP design. New methods have been devised enabling designers to address the main areas of power consumption— namely leakage power, clock trees, logic transitions, and power grids— to significantly improve performance compared to conventional techniques.
In today's CMOS technology, power is consumed in two basic ways: statically and dynamically. Static power is consumed continuously—even during standby operation—through various leakage mechanisms. Dynamic power is consumed only during activity, such as logic and interface operations.
To read the full article, click here
Related Semiconductor IP
- RDMA IP
- PCIe Controller
- USB Controller
- MTP (Multi-Time Programmable) IP
- OTP (One-Time Programmable) IP
Related Articles
- Achieving Lower Power, Better Performance, And Optimized Wire Length In Advanced SoC Designs
- Balancing Power and Performance With Task Dependencies in Multi-Core Systems
- Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators
- Optimize performance and power consumption with DSP hardware, software
Latest Articles
- REACH: Controller-Managed Long-Span ECC for HBM AI Inference
- FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching
- AutoTrans: AI-Assisted Automatic Translation of Security Assertions for RISC-V Processors
- LLM Inference on IMC-NoC Architecture with Balanced Dataflow and Fine-Grained Parallelism
- AI-Assisted Design of a Post-Quantum Cryptographic Accelerator: A Deployed-Silicon Case Study