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Most Recent Guides & Forecasts

Communications Semiconductor Market Forecast 2018–2023
Provides five-year revenue forecasts for more than 20 categories of communications semiconductors, including Ethernet products, broadband interface chips, embedded processors, server processors and FPGAs.
Communications Semiconductor Market Share 2018
Provides market share data for more than 20 categories of communications semiconductors, including Ethernet products, broadband interface chips, embedded processors, server processors and FPGAs.
A Guide to Processors for Deep Learning
Covers processors and IP cores for accelerating deep learning, neural networks, and vision processing for AI training and inference in data centers, autonomous vehicles, and client devices.
A Guide to Multicore Processors
Covers 32- and 64-bit embedded processors with four or more CPU cores that are used for wires and wireless communications, storage, security, and other applications.
A Guide to Ethernet Switch and PHY Chips
Covers data-center switch chips for 10G, 25G, 40G, 50G, and 100G Ethernet. Also includes physical-layer (PHY) chips for 10GBase-T and 100G Ethernet.
A Guide to Processors for IoT and Wearables
Covers processors and connectivity chips for IoT clients and wearable devices, focusing primarily on single-chip solutions with integrated radios.

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White Papers

Accelerating AI Performance in an Open Software Ecosystem
Nvidia's software stack, based on its proprietary CUDA, creates a high barrier to entry for challengers. SYCL, the only open alternative to CUDA that has multivendor support, enables customers to move to higher performance hardware while retaining software flexibility. A commercial version of SYCL, branded ComputeCpp, is offered by Codeplay.
Arm Ecosystem Reduces SoC Design Cost and Time to Market
This paper discusses three critical facets of the Arm ecosystem: design verification, physical design, and software development. Each one directly affects the time required to develop a complete SoC and software stack.
AI Requires Many Approaches
Artificial intelligence (AI) is being applied to a wide range of problems, so no single processor can support them all. This paper describes and compares the various approaches needed for data center, autonomous driving, and consumer/IoT applications. 
Universal RDMA: A Unique Approach for Heterogeneous Data-Center Acceleration
Now available in 10G, 25G, 50G, and 100G Ethernet server adapters, RDMA reduces network processing overhead and minimizes latency. Cavium's FastLinQ stands out by handling both RoCE and iWARP, which are alternative protocols for RDMA over Ethernet.
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December 9, 2019

Mobileye Expands Into Robotaxis
The company announced plans to expand beyond EyeQ processors, including lidar sensors, complete self-driving systems, and robotaxi services, along with greater licensing of map data.
Photonic Computing Finds Fit in AI
Optical neural networks are moving closer to commercialization as photonic computing moves out of university labs. A few startups are leading the charge and starting to attract funding.
Graphcore Up and Running
After taking nearly a year to tune its software, Graphcore is finally taking the wraps off its C2 deep-learning accelerator, which will be available through Azure Cloud and in some Dell EMC systems.

December 2, 2019

Centaur Adds AI to Server Processor
Centaur, Via’s chip-design arm, disclosed a new deep-learning accelerator and an x86 microarchitecture that combine on a single chip to form a highly integrated server processor. 
Exynos 990 Enables 5G Smartphones
Samsung’s newest smartphone processor and 5G modem provide a sneak preview of its next flagship Galaxy. They both use the company’s 7nm EUV process.
Ryzen Threadripper 3 Thrashes Xeon
AMD Threadripper 3 processors for high-end desktops and workstations exceed their predecessors by upgrading their CPUs, clock speeds, caches, DRAM controllers, PCI Express interfaces, and internal designs.

November 25, 2019

Alibaba Takes AI Performance Lead
The Chinese Internet giant has developed its first ASIC to accelerate neural networks, posting ResNet-50 throughput that’s 10x better than Nvidia’s fastest GPUs.
MLPerf Debuts Inference Benchmarks
The MLPerf group has released a modest set of inference benchmarks and use cases. The first results include submissions from cloud-service providers (CSPs), server vendors, chip vendors, and professional-services companies.

November 18, 2019

Chiplet Technology Proliferates
Chiplets are getting lots of attention in IC-design circles, as real products are shipping in high volumes from leading vendors. Package and interface technologies are advancing chiplet-based designs.
Renesas RA MCUs Strengthen Security
Renesas Advanced (RA) microcontrollers will include the company’s first models that implement Arm’s TrustZone technology. The 32-bit RA family comprises chips with Cortex-M23 and Cortex-M4 CPUs; future products will add Cortex-M33.
Editorial: Third-Party Chiplet Challenges
The ODSA hopes to shift the chiplet market from in-house to third-party designs, but to enable this transition, it must overcome several design and manufacturing challenges.

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Linley Fall Processor Conference Proceedings Available


Linley Spring Processor Conference 2020
Coming April 7-8, 2020
Hyatt Regency, Santa Clara, CA
Linley Fall Processor Conference 2020
Coming October 28-29, 2020
Hyatt Regency, Santa Clara, CA
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Media Appearances


Linley Newsletter
Analysis of new developments in microprocessors and other semiconductor products
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