"Early and accurate" power analysis: myth or reality?
By Preeti Gupta, Director RTL Product Management, Apache Design, Inc. (a subsidiary of ANSYS)
EETimes (4/11/2012 6:43 PM EDT)
Power is receiving a mounting share of attention. Innovation, fueled by the information and internet age, poses new challenges for electronic systems across a spectrum of applications. Mobile devices continue to break new frontiers of functional integration. Phones are now your email, social networking interface, video and music player, gaming device, camera, GPS, and more – all rolled into one. Yet the smart phone must survive through the day, and hopefully longer, without having to recharge the battery. Data centers and cloud computing grapple with power and carbon footprints as they move and process incredible amounts of data back and forth, consuming electricity to the order of 1-2% of the total that the entire world consumes. Advances in fabrication technology have made it possible for processors and system-on-chips (SoCs) to boast of over three-billion transistors, also pushing the limits of power density, integrity and reliability.
To read the full article, click here
Related Semiconductor IP
- Flexible Pixel Processor Video IP
- Complex Digital Up Converter
- Bluetooth Low Energy 6.0 Digital IP
- Verification IP for Ultra Ethernet (UEC)
- MIPI SWI3S Manager Core IP
Related White Papers
- Throttle IP Core Power Dissipation: Use RTL Power Analysis Early and Often
- Low Power Analysis and Verification of Super Speed Inter-Chip (SSIC) IP
- Accurate and Efficient Power estimation Flow For Complex SoCs
- Estimate power at RTL to identify problems early
Latest White Papers
- RISC-V basics: The truth about custom extensions
- Unlocking the Power of Digital Twins in ASICs with Adaptable eFPGA Hardware
- Security Enclave Architecture for Heterogeneous Security Primitives for Supply-Chain Attacks
- relOBI: A Reliable Low-latency Interconnect for Tightly-Coupled On-chip Communication
- Enabling Space-Grade AI/ML with RISC-V: A Fully European Stack for Autonomous Missions