Embedded memory makes computing applications run faster. In the early days of the semiconductor industry, the desire to utilize large amount of on-chip memory was limited by cost, manufacturing difficulties and technology mismatches between logic and memory circuit implementations. Since then, advancements in semiconductor… Read More
Tag: reram
3rd Party Semiconductor Intellectual Property Market Update
The 3rd Party Semiconductor Intellectual Property (IP) market has seen great innovation in the products it offers to System-on-a-Chip (SoC) designers over the last ten years. If any market segment in the semiconductor industry typifies the intense evolutionary pressures that the entire electronics market has undergone, … Read More
Upcoming Webinar on Resistive RAM (ReRAM) Technology
On-chip memory (embedded memory) makes computing applications run faster. In the early days of the semiconductor industry, the desire to utilize large amount of on-chip memory was limited by cost, manufacturing difficulties and technology mismatches between logic and memory circuit implementations. Since then, advancements… Read More
Resistive RAM (ReRAM) Computing-in-Memory IP Macro for Machine Learning
The term von Neumann bottleneck is used to denote the issue with the efficiency of the architecture that separates computational resources from data memory. The transfer of data from memory to the CPU contributes substantially to the latency, and dissipates a significant percentage of the overall energy associated with … Read More
Features of Resistive RAM Compute-in-Memory Macros
Resistive RAM (ReRAM) technology has emerged as an attractive alternative to embedded flash memory storage at advanced nodes. Indeed, multiple foundries are offering ReRAM IP arrays at 40nm nodes, and below.
ReRAM has very attractive characteristics, with one significant limitation:
- nonvolatile
- long retention time
- extremely
In-Memory Computing for Low-Power Neural Network Inference
“AI is the new electricity.”, according to Andrew Ng, Professor at Stanford University. The potential applications for machine learning classification are vast. Yet, current ML inference techniques are limited by the high power dissipation associated with traditional architectures. The figure below highlights the … Read More
Advanced CMOS Technology 2020 (The 10/7/5 NM Nodes)
Our friends at Threshold Systems have a new class that may be of interest to you. It’s an updated version of the Advanced CMOS Technology class held last May. As part of the previous class we did a five part series on The Evolution of the Extension Implant which you can see on the Threshold Systems SemiWiki landing page HERE. And… Read More
A VIP to Accelerate Verification for Hyperscalar Caching
Non-volatile memory (NVM) is finding new roles in datacenters, not currently so much in “cold storage” as a replacement for hard disk drives, but definitely in “warm storage”. Warm storage applications target an increasing number of functions requiring access to databases with much lower latency than is possible through paths… Read More
ReRAM Revisited
I met with Sylvain Dubois (VP BizDev and Marketing of Crossbar) at TechCon to get an update on his views on ReRAM technology. I’m really not a semiconductor process guy so I’m sure I’m slower than the experts to revelations in this area. But I do care about applications so I hope I can add an app spin on the topic, also Sylvain’s views on… Read More
Semicon West 2019 – Day 2
Tuesday July 9th was the first day the show floor was open at Semicon. The following is a summary of some announcements I attended and general observations.
AMAT Announcement
My day started with an Applied Materials (AMAT) briefing for press and analysts where they announced “the most sophisticated system they have ever released”.… Read More