Reducing Power in Embedded Systems by Adding Hardware Accelerators
By Rodney Frazer, Altera
Embedded.com -- (04/09/08, 03:21:00 PM EDT)
The rule of thumb in embedded system design has been that adding hardware increases power demands. The careful use of hardware accelerators, however, inverts the rule: adding hardware can reduce power.
By analyzing algorithms and implementing appropriate accelerators in programmable logic, developers can increase a design's performance while reducing power consumption in an embedded computing system.
Test results show that accelerators extend tradeoff options from as much as 200-fold performance improvement for the same power to the same performance with a 90% power reduction.
Programmable logic has, somewhat undeservedly, maintained a reputation from its early history as being a power-hungry approach to logic design. The rules of thumb have been that power consumption in an integrated circuit is roughly proportional to the chip's area for a given process technology, and a design implemented in programmable logic tends to be larger than if implemented in hard-wired logic. But these two factors, although suggestive, are misleading.
Embedded.com -- (04/09/08, 03:21:00 PM EDT)
The rule of thumb in embedded system design has been that adding hardware increases power demands. The careful use of hardware accelerators, however, inverts the rule: adding hardware can reduce power.
By analyzing algorithms and implementing appropriate accelerators in programmable logic, developers can increase a design's performance while reducing power consumption in an embedded computing system.
Test results show that accelerators extend tradeoff options from as much as 200-fold performance improvement for the same power to the same performance with a 90% power reduction.
Programmable logic has, somewhat undeservedly, maintained a reputation from its early history as being a power-hungry approach to logic design. The rules of thumb have been that power consumption in an integrated circuit is roughly proportional to the chip's area for a given process technology, and a design implemented in programmable logic tends to be larger than if implemented in hard-wired logic. But these two factors, although suggestive, are misleading.
To read the full article, click here
Related Semiconductor IP
- UCIe D2D Adapter & PHY Integrated IP
- Low Dropout (LDO) Regulator
- 16-Bit xSPI PSRAM PHY
- MIPI CSI-2 CSE2 Security Module
- ASIL B Compliant MIPI CSI-2 CSE2 Security Module
Related Articles
- H.264 Baseline Decoder With ADI Blackfin DSP and Hardware Accelerators
- H.264 Baseline Encoder with ADI Blackfin DSP and Hardware Accelerators
- Programmable accelerators: hardware performance with software flexibility
- Hardware emulator debugs Linux driver
Latest Articles
- RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification
- Emulation-based System-on-Chip Security Verification: Challenges and Opportunities
- A 129FPS Full HD Real-Time Accelerator for 3D Gaussian Splatting
- SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation
- TensorPool: A 3D-Stacked 8.4TFLOPS/4.3W Many-Core Domain-Specific Processor for AI-Native Radio Access Networks