Diagnostic Medical Ultrasound Innovation Using UltraFast Algorithms

By Subh Bhattacharya - 05 May, 2022 - Comments: 0

Medical ultrasound is the most attractive among all diagnostic imaging systems due to its least-invasive nature and lack of any radiation. As medical ultrasound continues to grow in wider range of applications for its non-invasive nature and for its ability to see soft-tissue images, there is growing demand in supporting advanced imaging techniques in ultrasound beamformers, in multi-dimensiona... » read more

Building Multipurpose Systems With Dynamic Function Exchange

By Ed Rebello - 06 Jan, 2022 - Comments: 1

One of the most-common oversights that designers can make is to not fully use available system resources. Typically, design and optimization efforts are focused on performance and efficiency. Mission-critical and real-time tasks are allocated hardware-based resources to accelerate their execution. But when large portions of the architecture are underutilized – in other words, they remain idle... » read more

Solving Real World AI Productization Challenges With Adaptive Computing

By Nick Ni - 08 Nov, 2021 - Comments: 0

The field of artificial intelligence (AI) moves swiftly, with the pace of innovation only accelerating. While the software industry has been successful in deploying AI in production, the hardware industry – including automotive, industrial, and smart retail – is still in its infancy in terms of AI productization. Major gaps still exist that hinder AI algorithm proof-of-concepts (PoC) from b... » read more

Adaptive Computing In Robotics

By Xilinx - 08 Oct, 2021 - Comments: 0

Traditional software development in robotics is about programming functionality in the CPU of a given robot with a pre-defined architecture and constraints. With adaptive computing, instead, building a robotic behavior is about programming an architecture. By leveraging adaptive computing, roboticists can adapt one or more of the properties of its computing systems (e.g., its determinism, power... » read more

Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

NAND Flash Targets 1,000 Layers

New techniques go beyond improved deposition and etching, but challenges stack up, too.

by Bryon Moyer

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

tag: adaptive computing

Diagnostic Medical Ultrasound Innovation Using UltraFast Algorithms

Building Multipurpose Systems With Dynamic Function Exchange

Solving Real World AI Productization Challenges With Adaptive Computing

Adaptive Computing In Robotics