semiconductors
TSMC, The Drug Dealer, Is Trying To Make An Addicted Junkie Out Of Intel –
TSMC Unveils N4X Node: Extreme High-Performance at High Voltages
Low-Power AI Startup Eta Compute Delivers First Commercial Chips

The firm pivoted away from riskier spiking neural networks using a new power management scheme
SRAM vs. DRAM: The Future of Memory - EE Times

EE Times Compares SRAM vs. DRAM, Common Issues With Each Type Of Memory, And Takes A Look At The Future For Computer Memory.
HewlettPackard/cacti: An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model
An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model - HewlettPackard/cacti
Gallium Arsenide: Another Player in Semiconductor Technology - News
This article looks at gallium arsenide, comparing it to other semiconductor materials, and explores how different compounds are used in components.
Under The Hood Of Google’s TPU2 Machine Learning Clusters

As we previously reported, Google unveiled its second-generation TensorFlow Processing Unit (TPU2) at Google I/O last week. Google calls this new
Magnetoresistance in Magnetic Field Sensors: Applications for TMR Sensors - News
What are TMR sensors and what applications are they best suited to? This article provides a snapshot of this sensor type and what TMR-based components are available for designers.
3D Stacking Could Boost GPU Machine Learning

Nvidia has staked its growth in the datacenter on machine learning. Over the past few years, the company has rolled out features in its GPUs aimed neural
How to make multicore chips faster more efficient
baidu-research/warp-ctc
Fast parallel CTC.
First In-Depth Look at Google’s TPU Architecture

Four years ago, Google started to see the real potential for deploying neural networks to support a large number of new services. During that time it was
NVIDIA Develops NVLink Switch: NVSwitch, 18 Ports For DGX-2 & More

D&R Silicon IP Catalog: Directory of Semiconductor IP
D&R provides the world's largest directory of Silicon IP (Intellectual Property), SoC Configurable Design Platforms and SOPC Products from 400 vendors
FET vs. BJT vs. IGBT: What’s the Right Choice for Your Power Stage Design? - Technical Articles
This article will help the reader understand the different types of power semiconductors: how they work, their key parameters, and trade-offs.
Stacking Up AMD MI200 Versus Nvidia A100 Compute Engines
The modern GPU compute engine is a microcosm of the high performance computing datacenter at large. At every level of HPC – across systems in the
NeuroMem IC Matches Patterns, Sees All, Knows All - EE Times

PARIS — If you’ve ever seen the U.S. TV series “Person of Interest,” during which an anonymous face in the Manhattan crowd, highlighted inside a digital
An Introduction to Semiconductor Economics
This blog post is in response to a recent topic on the Parallella forum regarding Adapteva’s chip cost efficiency (GFLOPS/$): [forum discussion thread]. I had to be a little vague on some poi…
Semiconductor IP Vendors List | ChipEstimate.com
Explore semiconductor IP, white papers, news, technical articles and more from hundreds of top semiconductor IP vendors and foundries.
Magic VLSI
Magic VLSI: Resource Page
The Gatekeeper of a Successful Design is the Interconnect - EE Times

An effective interconnect makes delivering a complex SoC easier, more predictable, and less costly.
Synopsys Blog | Latest Insights on EDA, IP & Systems Design
Explore Synopsys Blog for the latest insights and trends in EDA, IP, and Systems Design. Stay updated with expert articles and industry news.
Domain-Specific Hardware Accelerators – Communications of the ACM
Advantages Of LPDDR5: A New Clocking Scheme

Innovative new clocking schemes in the latest LPDDR standard enable easier implementation of controllers and PHYs at maximum data rate as well as new options for power consumption.
Die-Per-Wafer Estimator
OpenROAD – Home
Library Design - Silvaco
Silvaco provides standard cell library design and optimization services
Issues In Designing 5G Beamforming Antennas

5G Beamforming Antennas Create Design, Test Problems Assuring quality under changing conditions with shifting standards and use models is a major challenge.
Effect of Design on Transistor Density - Semiwiki

I have written a lot of articles looking at leading…
How to make your own deep learning accelerator chip!

Currently there are more than 100 companies all over the world building ASIC’s (Application specific integrated circuit) or SOC’s (System…
What Exactly Is a Phase-Locked Loop, Anyways? - Technical Articles
This article introduces a phase-based feedback system that plays an important role in many applications.
Using Multiple Inferencing Chips In Neural Networks

How to build a multi-chip neural model with minimal overhead.
Vivienne Sze · Efficient Processing of Deep Neural Network: from Algorithms to Hardware Architectures
This tutorial describes methods to enable efficient processing for deep neural networks (DNNs), which are used in many AI applications including computer vision, speech recognition, robotics, etc....
Using Memory Differently To Boost Speed

Getting data in and out of memory faster is adding some unexpected challenges.
UPMEM Puts CPUs Inside Memory to Allow Applications to Run 20 Times Faster

PALO ALTO, Calif., August 19, 2019 — UPMEM announced today a Processing-in-Memory (PIM) acceleration solution that allows big data and AI applications to run 20 times faster and with 10 […]
DRAM Tradeoffs: Speed Vs. Energy

Experts at the Table: Which type of DRAM is best for different applications, and why performance and power can vary so much.
Precise timing of machine code with Linux perf. | Easyperf
TOPS, Memory, Throughput And Inference Efficiency

Evaluate inference accelerators to find the best throughput for the money.
What Is Silicon Germanium’s Place at the Semiconductor Table? - News
Cheaper than gallium arsenide. More flexible band-gap tuning than silicon. What's silicon germanium's place in circuit design?
How 10 leading companies are trying to make powerful, low-cost lidar

Lidar is essential for self-driving cars—here’s how some leading lidar sensors work.
X7R, X5R, C0G…: A Concise Guide to Ceramic Capacitor Types - Technical Articles
This technical brief attempts to dispel some of the fog surrounding the three-character naming convention used to describe ceramic caps.
How to Reduce Power Consumption with Clock Gating - Technical Articles
This article will discuss the basic concepts of clock gating and how it can be used to reduce the power consumption of synchronous digital systems.
How lidar makers are coping with slow progress of self-driving tech

We talked to lidar company executives and independent experts.
Using Verilog to Describe a Sequential Circuit - Technical Articles
This article focuses on using Verilog to describe synchronous sequential circuits.
Process Control For Next-Generation Memories

Emerging memory technologies call for an integrated PVD process system capable of depositing and measuring multiple materials under vacuum.
https://blog.riseml.com/comparing-google-tpuv2-against-nvidia-v100-on-resnet-50-c2bbb6a51e5e
Understanding PLL Applications: Frequency Multiplication - Technical Articles
This article explains how a PLL can be used to produce a high-frequency clock from a low-frequency reference signal.
To reinvent the processor

A detailed, critical, technical essay on upcoming CPU architectures.
Sample Efficient Evolutionary Algorithm for Analog Circuit Design

The BAIR Blog