Rising respins and need for re-evaluation of chip design strategies
By Ian Walsh, Sondrel
EDN (July 23, 2024)
According to the wisdom of French philosopher Jean-Baptiste Alphonse Karr, “Plus ça change, plus c’est la même chose,” or “The more things change, the more they stay the same.” This adage holds significant relevance in the fast-paced world of the semiconductor industry. Currently, the industry is undergoing a profound technological shift fueled by diverse applications that mandate intricate custom chip designs.
Ground-breaking technologies such as artificial intelligence (AI), autonomous vehicles, edge processing and chiplets are triggering an avalanche of advancements in the semiconductor market. Pioneering technologies are paving the way for high-growth markets, maintaining a competitive edge for products and driving the demand for increasingly sophisticated systems-on-chips (SoCs) to power burgeoning applications.
As a result of design complexity and market competition, innovative chip development strategies have become essential for expedited market entry and revenue growth. Tapping into these technological advances is a strategic imperative to secure market leadership.
To read the full article, click here
Related Semiconductor IP
- 8MHz / 40MHz Pierce Oscillator - X-FAB XT018-0.18µm
- UCIe RX Interface
- Very Low Latency BCH Codec
- 5G-NTN Modem IP for Satellite User Terminals
- 400G UDP/IP Hardware Protocol Stack
Related Articles
- Design and Implementation of Test Infrastructure for Higher Parallel Wafer Level Testing of System-on-Chip
- Design and implementation of a hardened cryptographic coprocessor for a RISC-V 128-bit core
- QiMeng: Fully Automated Hardware and Software Design for Processor Chip
- An Outline of the Semiconductor Chip Design Flow
Latest Articles
- SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
- An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS
- A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA
- VMXDOTP: A RISC-V Vector ISA Extension for Efficient Microscaling (MX) Format Acceleration
- PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability