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Most Recent Guides & Forecasts

Communications Semiconductor Market Share 2019
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 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.
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

Machine Learning Moves to the Edge
Embedded systems at the edge of the network will increasingly use machine learning (ML) to deliver new capabilities. Even as ML becomes more important, these new capabilities must be added without breaking the BOM cost and power budgets of existing products. The best option is an SoC that includes the CPU, standard interfaces, and an efficient ML accelerator on a single chip, minimizing cost, power, and board area. SiMa.ai is a new company developing a product to fit these requirements.
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. 
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June 8, 2020

Nvidia A100 Tops in AI Performance
The first GPU to implement the Ampere architecture, the A100 delivers huge performance increases to data centers running AI, data analytics, and high-performance computing (HPC) workloads.
Nvidia Ampere Delivers AI Innovation
This deep dive into Nvidia’s latest data-center GPU architecture explains the new training data types, structured sparsity, cache compression, GPU virtualization, and other features.
Kirin 985 Upgrades AI Performance
The Kirin 985 gives Huawei a competitive edge in the 5G mid-premium segment while maintaining a healthy distinction from the premium segment, which the Kirin 990 5G occupies.

June 1, 2020

Cortex-X1: A Bigger Arm
Cortex-X1 debuts a series of Arm CPUs that provide a new level of smartphone performance. The company also released Cortex-A78, which increases efficiency for the mainstream line.
Mali-G78 Raises Premium Performance
The new Mali-G78 GPU strengthens Arm’s hold on licensable IP for premium phones. It outperforms the Mali-G77 by about 15%, and its larger maximum core count enables even greater performance gains.
Ethos-N78 Boosts AI Efficiency
The new Ethos-N78 is Arm’s second-generation deep-learning accelerator (DLA). In its largest configuration, the N78 can deliver peak performance of 10 trillion operations per second (TOPS).

May 25, 2020

Andes Plots RISC-V Vector Heading
Andes has delivered the first CPU core to support the new RISC-V vector extensions (RVV), even though RISC-V International (formerly the RISC-V Foundation) won’t freeze the v1.0 specifications until August. 
Innovium Debuts 25.6Tbps Switch
Startup Innovium is first to announce a 25.6Tbps Ethernet switch chip using next-generation 100Gbps PAM4 serdes. Teralynx 8 doubles the per-lane data rate of its predecessor, yielding up to 64x400G Ethernet ports.

May 18, 2020

Intel Takes Desktop PCs to 10th Gen
New 14nm processors based on Comet Lake-S offer 10 cores at the high end, clock speeds up to 5.3GHz, and Hyper-Threading for all models, delivering greater value for most customers.
Prophesee Detects Rapid Movement
Prophesee is a French startup developing event-based image sensors. It’s working with Sony on its fourth-generation device that delivers one-microsecond temporal resolution with HD spatial resolution. 
Editorial: Wave Goodbye to MIPS
Wave Computing’s bankruptcy filing leaves the future of its MIPS architecture group in doubt. One of the original RISC designs, MIPS once had a bright future but has struggled in recent years.

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2020 Linley Processor Conference - Proceedings Available

Events

Linley Fall Processor Conference 2020
Coming October 28-29, 2020
Hyatt Regency, Santa Clara, CA
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Linley Newsletter
Analysis of new developments in microprocessors and other semiconductor products
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