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
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression IP
Related Articles
- H.264 Baseline Encoder with ADI Blackfin DSP and Hardware Accelerators
- Programmable accelerators: hardware performance with software flexibility
- H.264 Baseline Decoder With ADI Blackfin DSP and Hardware Accelerators
- USB Host IP-Core Hardware and Software Concurrent Development
Latest Articles
- SEAM-V: A Hybrid-Decoupled RISC-V Vector Processor with Backend-Visible EP Context for Sustained Vector Throughput
- New Number Formats for FFT IP Cores in Optical OFDM Transceivers
- Reducing Power Consumption of Embedded Dynamic Memories with ECCs
- NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference
- A 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding