Clock sources with integrated power supply noise rejection simplify power supply design in FPGA-based systems
By Juan Conchas, Silicon Laboratories Inc.
pldesignline.com (October 06, 2009)
By their nature, FPGAs are power hungry devices with complex power delivery requirements and multiple voltage rails. A single chip commonly consumes multiple watts of power while operating from 1.8 V, 2.5 V and 3.3 V rails. Activating high speed on-chip SERDES can increase power consumption by several watts and complicate the power delivery strategy. When FPGA power consumption increases, performance requirements on sensitive analog and mixed-signal subsystems also increase. Chief among these are the clocking subsystems that provide low jitter timing references for the FPGA and other board-level components.
Power hungry systems cannot be free of power supply noise. In general, system designers try to use low noise linear power supplies whenever possible. However, excessive power dissipation usually prevents the use of linear regulators. When using a linear device, regulating from 3.3 V input to 1.8 V output is only 54% efficient regardless of the load current. Low conversion efficiency burns power in the regulator instead of the load and makes linear devices unsuitable for many high performance applications.
To read the full article, click here
Related Semiconductor IP
- Chiplet Die-to-Die Interconnect IP Solution
- High speed MACsec Engine 100G/200G/400G/800G/1.6T
- Temperature/Voltage sensors
- AMBA Bus Host to eSPI Controller/Target
- AMBA Bus Host to eSPI Controller
Related Articles
- Is FPGA power design ready for concurrent engineering?
- Supply Noise Induced Jitter - Don't Let it Kill your Chip
- SOC: Submicron Issues -> Noise awareness catches timing flaws
- SoCs: IP Reuse -> Hard IP requires noise immunization
Latest Articles
- ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs
- ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training
- OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs
- CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees
- CXL-ClusterSim: Modeling CXL-based Disaggregated Memory Cluster for Pooling and Sharing using gem5 and SST