Multicore CPUs face slow road in comms
Rick Merritt, EETimes
(03/20/2009 2:06 PM EDT)
SANTA CLARA, Calif. — The transition to multicore processors in communications and networking systems is expected to be a slow one due to complex and fragmented nature of the underlying technology, predicted a technology analyst.
Processors with four or more cores will probably represent little more than 10 percent of the communications systems market in 2012, according to Linley Gwennap, principal analyst with The Linley Group (Mountain View, Calif.). He was speaking at a panel at this week's Multicore Association Expo here.
By contrast the use of single-core processors is still on the rise in embedded systems, peaking at about half the market over the period. The PowerQuicc, a unique heterogeneous architecture from Freescale Semiconductor that represented another large swath of the market, is on the decline as the company transitions to a simpler dual-core architecture, he said.
Gwennap projected that such dual-core designs could command as much as 20 percent of the market by 2012.
To read the full article, click here
Related Semiconductor IP
- Post-Quantum Digital Signature IP Core
- Compact Embedded RISC-V Processor
- Power-OK Monitor
- RISC-V-Based, Open Source AI Accelerator for the Edge
- Securyzr™ neo Core Platform
Related News
- Distributed In-Chip Thermal Sensors Improve Multicore CPU Monitoring
- Join Andes at RISC-V Summit; Learn the Only ISO 26262 Fully-Compliant RISC-V CPU, the Latest Multicore 4-Way Out-Of-Order Processor & the Multicore 1024-bit Vector Processor
- Socionext Announces Collaboration with Arm and TSMC on 2nm Multi-Core Leading CPU Chiplet Development
- CEVA and Arteris Partner on Multi-Core Interconnect for Next Generation SoC Designs
Latest News
- Preliminary Characterisation Report for Perceptia’s pPLL08W in GF 22FDX Now Available
- VSORA Launches Europe’s Most Powerful AI Inference Chip
- Redefining the Edge AI Developer Experience on Arm with New ExecuTorch 1.0 GA Release
- RED Semiconductor Launches Ordo1 to Accelerate Edge AI Innovation
- Semidynamics Inferencing Tools Accelerate AI App Deployment on Cervell NPU