Adaptive Body Biasing (ABB)
Adaptive Body Biasing (ABB) is an advanced power and performance optimization technique used in modern semiconductor technologies—especially in FDSOI, advanced CMOS, IoT chips, mobile processors, and automotive electronics. ABB dynamically adjusts a transistor’s threshold voltage (Vt) by applying forward or reverse biasing to the substrate (body), enabling higher performance, lower leakage, and optimized energy efficiency across different workloads and temperature conditions.
Related Articles
Related Products
- Automotive Adaptive Body Biasing Generator - GLOBALFOUNDRIES 22FDX
- Adaptive Body Biasing Generator - GLOBALFOUNDRIES 22FDX
- Adaptive Body Bias Generator on Samsung 28nm LN28FDS
- Low Power Memory Compiler - 1-Port Register File Compiler - GF 22nm FDX
- Low Power Memory Compiler - Single Port SRAM - GF 22nm FDX
See all 8 related products in the Catalog
Related Blogs
Related News
- VeriSilicon Introduces FD-SOI Wireless IP Platform for Diverse IoT and Consumer Electronics Applications
- Enabled on makeChip and powered by Racyics, the SpiNNaker2 chip forms the core of the newly launched SpiNNcould supercomputer!
- Efficient and GlobalFoundries Partner to Enable a New Category of Ultra Energy-Efficient, High-Performance Processors
- Racyics wins new automotive customer for its GF 22FDX Adaptive-Body-Biasing solution
- CSEM and USJC team up to develop an ultra-low-power chip
The Pulse
- Arasan Announces immediate availability of its UFS 5.0 Host controller IP
- Ensuring reliability in Advanced IC design
- A Closer Look at proteanTecs Health and Performance Management Solutions Portfolio
- Bolt Graphics Completes Tape-Out of Test Chip for Its High-Performance Zeus GPU, A Major Milestone in Reducing Computing Costs By 17x
- Enabling Memory Choice for Modern AI Systems: Tenstorrent and Rambus Deliver Flexible, Power-Efficient Solutions
- Verification Sanity in Chiplets & Edge AI: Avoid the “Second Design” Trap
- NEO Semiconductor Demonstrates 3D X-DRAM Proof-of-Concept, Secures Strategic Investment to Advance AI Memory
- Embedded Security explained: Cryptographic Hash Functions
- M31 Collaborates with TSMC to Achieve Tapeout of eUSB2V2 on N2P Process, Advancing Design IP Ecosystem
- Menta’s eFPGA Technology Adopted by AIST for Cryptography and Hardware Security Programs
- Silicon Creations Celebrates 20 Years of Global Growth and Leadership in 2nm IP Solutions
- TSMC Debuts A13 Technology at 2026 North America Technology Symposium
- Arm and Google Cloud redefine agentic AI infrastructure with Axion processors
- Cadence Collaborates with TSMC to Accelerate Design of Next-Generation AI Silicon
- Synopsys Partners with TSMC to Power Next-Generation AI Systems with Silicon Proven IP and Certified EDA Flows