High SNR Microphones Are Transforming Laptops Into All-Round Communication Hubs


Large portions of the workforce continue to work from home or in hybrid models. Although some organizations are largely getting back to ‘normal’, many people have grown accustomed to meeting online. Without face-to-face meetings in the office, productive and efficient communication relies on good tools, from video conferencing software to computer hardware. Two decades ag... » read more

Achieve Dramatic Productivity And Turnaround Time Improvements In Early Design Electrical Rule Checking


Early-stage layout vs. schematic (LVS) and circuit verification typically return large numbers of connectivity errors, which can be a critical bottleneck for both LVS and physical verification flows that require correct connectivity for valid results. The Calibre nmLVS Recon tool targets essential and relevant early-stage circuit verification pain points, such as electrical rule checking (ERC) ... » read more

Smart Devices Enabled To Efficiently Communicate, Sense, Hear, Act And Interact With User


The latest advancements in embedded systems and communication and sensing technology have led to the increasing development of smart applications. This has been a continuously evolving process, involving either the creation of completely new solutions or the rapid transformation of existing ones into corresponding highly smart environments. The main driving forces of the smart transformation ha... » read more

Advanced Modulation And Coding Challenges


Demands for a connected world with instant data access continue to drive data center transceiver innovation. 100 gigabit Ethernet (GE) data transmission is in production and will continue to evolve. But 100GE speeds aren’t fast enough to support the expected surge in connected devices and the applications they will run, opening the door for 400GE. Non-return-to-zero (NRZ) and four-level pulse... » read more

Efficient Verification Of RISC-V Processors


For some time, application-specific instruction processors (ASIPs) have been developed for specialized applications. These have required multi-disciplinary teams with sufficient expertise to develop the instruction set, microarchitecture, and software toolchain. Few companies have had the right combination of skills to develop ASIPs so relatively few have been developed. With the advent of R... » read more

Best Practices For Cybersecurity-Aware SoC Development With ISO 21434


The growth of electronics in cars is exposing a new vector for cyberattacks on owners and automotive companies’ reputations. The potential human cost of an attack on the car’s electronics is driving urgency in the adoption of cybersecurity-aware practices, from OEMs and Tier 1s to every component supplier in the automotive industry. The standard “ISO/SAE 21434:2021 Road vehicles — Cyber... » read more

Modeling Analytics for Computational Storage


This paper discusses the expected performance benefits of offloading some important basic database operations — namely Scan, Filter and Project — to computational storage. We evaluate the performance estimate model using TPC-DS workload and two database engines running on Hadoop clusters: SPARK- SQL and Presto. This paper is organized as follows: after covering previous computational sto... » read more

American Innovation, American Growth: A Vision For The National Semiconductor Technology Center


In the paper, MITRE Engenuity and The Semiconductor Alliance take on the task of defining the principles by which the NSTC should be established to ensure that the U.S. makes the most of this opportunity to bring substantial funding and cross-sector collaboration to bear on the challenge of driving U.S. leadership in semiconductors for decades to come. Click here to read more. » read more

Improving Verification Predictability And Efficiency Using Big Data


Big data is a term that has been around for decades. It was initially defined as data sets captured, managed, and processed in a tolerable amount of time beyond the ability of normal software tools. The only constant in big data’s size over this time is that it’s been a moving target driven by improvements in parallel processing power and cheaper storage capacity. Today most of the industry... » read more

Using Machine Learning To Automate Debug Of Simulation Regression Results


Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated debug process that not only accelerates debug but also eliminates errors introduced by manual efforts. This white paper discusses how verification engineers can more efficiently analyze, bin, triage... » read more

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