Blog Review: Feb. 22


Siemens EDA's Harry Foster observes that the FPGA market continues to go through a similar complexity curve that the IC/ASIC market experienced in the early and mid-2000 timeframe. Synopsys' Mitch Heins explores the benefits of heterogeneous integration of lasers and active gain elements in a silicon-based photonic IC, including reduced system costs, size, weight, and power along with improv... » read more

Week In Review: Design, Low Power


It’s earnings season. Arm, Cadence, Synopsys, Siemens (consolidated), Rambus, and Renesas reported quarterly results over the past couple weeks. All posted year-over-year revenue growth, despite an overall challenging macroeconomic climate. A roundup of all the chip industry earnings reports from the past several weeks can be found here. The edge computing market is projected to jump to al... » read more

Blog Review: Feb. 8


Cadence's Sanjeet Kumar points to key changes and optimizations that are done for USB3 Gen T compared to USB3 Gen X tunneling in order to minimize tunnel overhead and maximize USB3 throughput. Siemens EDA's Harry Foster considers the effectiveness of IC and ASIC verification by looking at schedule overruns, number of required spins, and classification of functional bugs. Synopsys' Chris C... » read more

Solving Problems With The IoT


The Internet of Things, a term once applied to almost any "smart" gadget connected to the Internet, is becoming more useful, more complex, and more of a security risk as the value of data continues to grow and more people depend on IoT technology. In the decades since the concept was first introduced, IoT devices have become so ubiquitous that applications cover practically every consumer, c... » read more

Improving Performance And Power With HBM3


HBM3 swings open the door to significantly faster data movement between memory and processors, reducing the power it takes to send and receive signals and boosting the performance of systems where high data throughput is required. But using this memory is expensive and complicated, and that likely will continue to be the case in the short term. High Bandwidth Memory 3 (HBM3) is the most rece... » read more

CXL Picks Up Steam In Data Centers


CXL is gaining traction inside large data centers as a way of boosting utilization of different compute elements, such as memories and accelerators, while minimizing the need for additional racks of servers. But the standard is being extended and modified so quickly that it is difficult to keep up with all the changes, each of which needs to be verified and validated across a growing swath of h... » read more

Blog Review: Jan. 25


Cadence's Shyam Sharma shares some important design and verification considerations when working with DDR5 SDRAM and DDR5 DIMM-based memory subsystems, including reset and power on initialization, speed bin compliance, and refresh, RFM, and temperature requirements. Siemens EDA's Harry Foster examines trends in adoption of languages and libraries for IC and ASIC design, testbench creation, a... » read more

Blog Review: Jan. 18


Synopsys' Dana Neustadter, Sara Zafar Jafarzadeh, and Ruud Derwig argue that we are already at an inflection point for post-quantum security because devices and infrastructure systems with longer life cycles or communicating data that must be kept confidential for an extended period need to have a path towards quantum-safe solutions. Siemens EDA's Harry Foster looks at trends in adoption of ... » read more

Week In Review: Semiconductor Manufacturing, Test


Global semiconductor sales hit $45.5 billion during the month of November 2022, according to SIA’s January announcement. Year-over-year sales increased in November in the Americas (5.2%), Europe (4.5%), and Japan (1.2%), but decreased in Asia Pacific/rest of world (-13.9%) and China (-21.2%). Month-to-month sales were down across all regions. The United States, Mexico and Canada vowed to... » read more

Will Floating Point 8 Solve AI/ML Overhead?


While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

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