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Most Recent Guides & Forecasts

Communications Semiconductor Market Share 2020
Provides market share data for many categories of communications semiconductors, including Ethernet products, processors, and FPGAs.
A Guide to Processors for Deep Learning
Covers processors for accelerating deep learning, neural networks, and vision processing for AI training and inference in data centers, autonomous vehicles, and client devices.
Communications Semiconductor Market Forecast 2019-2024
Provides five-year revenue forecasts for many categories of communications semiconductors, including Ethernet products, embedded and server processors, and FPGAs.

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White Papers

Expedera Redefines AI Acceleration for the Edge
Expedera is a small company with big ideas. Rather than optimizing the usual AI techniques, the company rethought neural-network acceleration from the ground up, creating a unique approach that greatly improves performance while maintaining consistent power and die area. This design is well suited to many consumer and automotive applications, enabling customers to increase the intelligence of their devices and add new capabilities to benefit their end users. Expedera has already validated the architecture and its performance in a test chip and signed a lead licensee for its IP.
Growing AI Diversity and Complexity Demands Flexible Data-Center Accelerators
AI applications are becoming more diverse, even as models for specific applications rapidly advance. CPUs and GPUs offer the flexibility to handle new models, but they deliver poor throughput or efficiency for real-time inferencing. Purpose-built deep-learning accelerators excel for CNNs but often fare poorly on other model types. SimpleMachines developed a unique “composable computing” architecture that provides both programmability and efficiency.
Mach-NX: The Root of Trusted Systems
Robust system security requires a layered approach, and the root of trust must begin with a secure boot process. Building on its leadership position, Lattice advanced its secure-control platform by introducing the next-generation Mach-NX family. These new devices keep platform security one step ahead of emerging threats while easing customer designs.
Building Better AI Chips
As progressing to 7nm and beyond becomes ever more complex and expensive, GlobalFoundries is taking a different approach to improving performance by enhancing its 12nm node with lower operating voltages and new IP blocks. The changes are particularly effective for AI (neural-network) accelerators. The new 12LP+ technology builds on the success that the foundry’s customers have already achieved in AI acceleration.
Unified Inference and Training at the Edge
As more edge devices add AI capabilities, some applications are becoming increasingly complex. Wearables and other IoT devices often have multiple sensors, requiring different neural networks for each sensor, or they may use a single complex network to combine all the input data, a technique called sensor fusion. Others implement on-device training to customize the application. The GPX-10 processor can handle these advanced AI applications while keeping power to a minimum.
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May 10, 2021

Cadence Q8 Expands Vision DSPs
Cadence’s new Tensilica Vision DSPs extend its intellectual-property (IP) lineup at the high end to target 3D computer vision and at the low end to reduce area and power in always-on smart sensors.
SiFive 21G1 Update Boosts Hash Rates
The intellectual-property (IP) company announced a new AI platform that uses the Intelligence extensions to reduce convolution-processing time by 4x compared with a standard RISC-V vector implementation.

May 3, 2021

Nvidia Arms Its Data-Center Roadmap
Nvidia aims to accelerate Arm-CPU adoption for cloud computing with the upcoming Grace processor as well as next-generation GPU and networking (DPU) products. The company also rolled out A10 and A30 GPUs for AI.
Neoverse V1 Updates Cortex-X1
Arm’s new Neoverse V1 and Neoverse N2 cores boost performance and add new instructions relative to the older Neoverse N1, but they still fall short of the leading x86 CPUs in single-thread performance.
Movellus Improves Clock Meshes
The startup’s Maestro intellectual property (IP) enhances clocking efficiency by up to 30%, boosting chip performance and saving power. The “virtual mesh” also accelerates timing closure by 5x.

April 26, 2021

Cerebras Doubles Down With WSE2
The second-generation Wafer Scale Engine (WSE) fits two trillion transistors on a single piece of silicon, generating unprecedented scientific and AI performance in the 23-kilowatt CS-2 system.
EdgeCortix IP Lowers AI Latency
EdgeCortix is taking aim at the high-end edge market with its custom intellectual property (IP), delivering class-leading efficiency and latency for AI inference through a dual-accelerator approach.
Innatera’s Spiking Neural Processor
The startup has developed a true analog SNN architecture for fixed-function edge applications. It expects the new chip to perform pattern recognition using as little as 100 microwatts.

April 19, 2021

Ice Lake-SP Leaps to 40 Cores
Intel’s 3rd Generation Xeon Scalable processor offers up to 40 cores while upgrading memory and I/O bandwidth, resulting in a big performance gain at the top of the line but modest benefits for mainstream models.
Expedera Tops DLA-IP Charts
The startup’s Origin deep-learning accelerator provides industry-leading performance per watt for mobile, smart-home, and other camera-based devices. Now available for licensing, the design scales to 100 TOPS.
Arm Aims to Secure Its Realm
The next-generation Arm v9-A ISA is the company’s first full architecture increment in a decade. It includes previously announced Arm v8-A features along with Realm, the successor to TrustZone.

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Spring Processor Conference 2021

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Analysis of new developments in microprocessors and other semiconductor products
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Linley Spring Processor Conference 2021
April 19 - 23, 2021
Virtual Event
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