Our privacy policy has been updated to incorporate GDPR considerations. See our updated policy here.
Order a Guide Order a Guide Order a Guide

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.

More Guides »

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.
More White Papers »
Linley Reports Linley Reports Subscribe to our Reports

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.
Arm Offers Bespoke Cortex-M CPUs
Arm is opening the Arm v8-M architecture to allow custom instructions. Cortex-M33 is the first CPU to support this new feature, but all future Arm v8-M cores will as well.

November 11, 2019

Emerging Memories: Why Now?
How will an emerging memory technology rise to prominence? Both technology and market dynamics will lead to the replacement of today’s technologies with something altogether different.
ARC VPX5 Sports Four-Way VLIW
The new VPX5 is the first Synopsys ARC DSP to employ a VLIW architecture, combining a scalar CPU, a 512-bit vector/SIMD unit, and an optional vector floating-point engine. 
SiFive Secures RISC-V
SiFive recently disclosed its Shield secure-platform architecture, which includes hardware and software as well as provisioning services. Shield’s baseline capabilities are similar to those of Arm’s TrustZone.

November 4, 2019

Intel’s Tremont: A Bigger Little Core
Tremont is Intel’s newest low-power x86 CPU, boosting IPC by 30%. The new core design will debut in the Lakefield processor—a heterogeneous multicore SoC for thin notebooks and tablets.
NovuMind Launches Tensor Processor
Startup NovuMind is preparing to tape out a neural-network accelerator that it estimates will deliver 150 trillion operations per second (TOPS) while consuming just 5W, achieving impressive efficiency.

More Articles »

Linley Fall Processor Conference Proceedings Available

Events

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
More Events »

Media Appearances

Newsletter

Linley Newsletter
Analysis of new developments in microprocessors and other semiconductor products
Subscribe to our Newsletter »