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Most Recent Guides & Forecasts

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.
Communications Semiconductor Market Forecast 2017–2022
Provides five-year revenue forecasts for more than a dozen categories of communications semiconductors including network processors, Ethernet components, PON and VDSL transceivers, network search engines, and optical-transport ICs.
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

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.
EPYC Offers x86 Compatibility
AMD's new EPYC processor family delivers backward compatibility with a large installed base of server applications and third-party peripherals and adapters. In addition to being fully compatible with the x86 register set, EPYC supports all existing Broadwell instructions.
EPYC: Designed for Effective Performance
Measuring server-processor performance using clock speed (GHz) or even the traditional SPEC_int test can be misleading. AMD's new EPYC processor is designed to deliver strong performance across a wide range of server applications, meeting the needs of modern data centers and enterprises. 
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June 17, 2019

Habana Offers Gaudi for AI Training
The startup expects its second AI chip to deliver better performance than Nvidia’s V100 GPU at half the operating power. It plans to sample Gaudi-based cards and systems this year.
MediaTek AI Engine Earns Top Marks
The Helio P90 integrates a custom deep-learning accelerator, enabling it to take the top spot on the new AI Benchmark. MediaTek’s forthcoming 5G SoC will feature an enhanced version of this accelerator.
Silicon Labs Upgrades Wireless MCUs
New Wireless Gecko Series 2 microcontrollers for IoT offer stronger security, enhanced radios, and Arm Cortex-A33 CPUs. These EFR32-series chips also feature the smallest packages in their class.

June 10, 2019

DSP-IP Vendors Target 3D Navigation
DSPs are well suited to simultaneous localization and mapping (SLAM). Cadence’s new Vision Q7 improves SLAM performance, and Ceva is also offering a new SLAM SDK that works with its DSPs. 
Editorial: AI Needs Flexibility…For Now
AI accelerators must handle the myriad types of neural networks available now and in the future, but over time, chip designers will focus on efficiently executing a smaller set of models.

June 3, 2019

Arm Mali-G77 Goes to Valhall
Arm’s new Mali-G77 GPU boosts area and power efficiency by 30% and machine-learning performance by 60%. The new Mali-D77 display unit includes features that target VR headsets.
Achronix Debuts FPGAs for AI
The new Speedster7t FPGA family from Achronix competes with Intel and Xilinx by offering faster DSP blocks optimized for machine learning, optional GDDR6 memory, 400G Ethernet, PCI Express Gen5, and novel internal routing.
Arm CPUs Approach Intel Complexity
Our die-photo analysis reveals that the largest Arm-compatible CPUs, such as the Samsung M4, consume up to 70% of the area of the Intel Skylake CPU after adjusting for IC-process differences.

May 27, 2019

Cortex-A77 Improves IPC
Arm’s next-generation big core offers more per-clock performance than Cortex-A76 by increasing the reorder window and by adding two new function units and a level-zero cache.
Arm Machine-Learning Core Scales Up
Arm’s machine-learning processor core is now available for general licensing, although it has yet to receive a brand name such as Cortex or Mali. A single core delivers up to four trillion operations per second. 
Xilinx Enters Smart-NIC Market
With its $400 million acquisition of Solarflare, Xilinx is bringing important server-networking intellectual property in house. The move enables it to offer FPGA-based network interface cards.

May 20, 2019

EUV Processes Reach Mass Production
After many years of research, semiconductor foundries finally in 1Q19 brought extreme-ultraviolet (EUV) lithography to production, as Samsung and TSMC delivered 7nm wafers using that technology.

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Events

Linley Fall Processor Conference 2019
October 23 - 24, 2019
Hyatt Regency, Santa Clara, CA
Linley Spring Processor Conference 2019
Held April 10 - 11, 2019
Proceedings available
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Newsletter

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