Computing Where Data Resides

By Ann Mutschler - 29 Mar, 2021 - Comments: 3

Computational storage is starting to gain traction as system architects come to grips with the rising performance, energy and latency impacts of moving large amounts of data between processors and hierarchical memory and storage. According to IDC, the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025. But that data is essentially useless unless it is analyzed or some amou... » read more

Nine Effective Features Of NVMe Verification IP For PCIe-Based SSD Storage

By Siemens EDA - 10 Mar, 2021 - Comments: 0

Non-Volatile Memory Express (NVMe) is a new software interface optimized for PCIe Solid State Drives (SSD). This paper provides an overview of the NVMe specification and examines some of its key features. We will discuss its pros and cons, compare it to other conventional technologies, and point out key areas to focus on during its verification. You will learn how NVMe Questa Verification IP... » read more

Evaluating NVMe SSD Multi-Gigabit Performance

By Igor Gorokhov - 30 Jan, 2020 - Comments: 0

The multi-channel parallelism and low-latency access of NAND flash technology have made Non-Volatile Memory express (NVMe) based SSDs very popular within the main segments of the data storage market, including not only the consumer electronics sector but also data center processing and acceleration services, where the key role is played by specialized FPGA-based hardware for application-specifi... » read more

Transient Thermal Analysis For M.2 SSD Thermal Throttling: Detailed CFD Model vs Network-Based Model

By Cadence - 15 Jan, 2020 - Comments: 0

Solid State Drive (SSD) technology continues to advance toward smaller footprints with higher bandwidth and adoption of new I/O interfaces in the PC market segment. Power performance requirements are tightening in the design process to address specific requirement along with the development of SSD technology. To meet this aggressive requirement of performance, one major issue is thermal throttl... » read more

Utilizing Computational Memory

By Brian Bailey - 24 Oct, 2019 - Comments: 0

For systems to become faster and consume less power, they must stop wasting the power required to move data around and start adding processing near memory. This approach has been proven, and products are entering the marketplace designed to fill a number of roles. Processing near memory, also known as computational memory, has been hiding in the shadows for more than a decade. Ever since the... » read more

Solving The Memory Bottleneck

By Brian Bailey - 04 Oct, 2019 - Comments: 4

Chipmakers are scrambling to solve the bottleneck between processor and memory, and they are turning out new designs based on different architectures at a rate no one would have anticipated even several months ago. At issue is how to boost performance in systems, particularly those at the edge, where huge amounts of data need to be processed locally or regionally. The traditional approach ha... » read more

Trading Off Power And Performance Earlier In Designs

By Ann Mutschler - 12 Sep, 2019 - Comments: 0

Optimizing performance, power and reliability in consumer electronics is an engineering feat that involves a series of tradeoffs based on gathering as much data about the use cases in which a design will operate. Approaches vary widely by market, by domain expertise, and by the established methodologies and perspective of the design teams. As a result, one team may opt for a leading-edge des... » read more

Power/Performance Bits: April 16

By Jesse Allen - 16 Apr, 2019 - Comments: 0

Faster CNN training Researchers at North Carolina State University developed a technique that reduces training time for deep learning networks by more than 60% without sacrificing accuracy. Convolutional neural networks (CNN) divide images into blocks, which are then run through a series of computational filters. In training, this needs to be repeated for the thousands to millions of images... » read more

3D NAND Metrology Challenges Growing

By Mark LaPedus - 09 Apr, 2019 - Comments: 8

3D NAND vendors face several challenges to scale their devices to the next level, but one manufacturing technology stands out as much more difficult at each turn—metrology. Metrology, the art of measuring and characterizing structures, is used to pinpoint problems and ensure yields for all chip types. In the case of 3D NAND, the metrology tools are becoming more expensive at each iteration... » read more

Accelerate SSD Software Development And System Validation

By Tom De Schutter - 28 Feb, 2019 - Comments: 0

The amount of data coming at us or that we produce ourselves in our daily lives continues to grow exponentially. It’s become the norm to stream movies and TV series from Netflix, as well as upload our own videos on YouTube. On top of this, a major shift in automotive (ADAS, autonomous driving) and surveillance are boosting the amount of data exchange that is happening every second. With th... » read more

← Older posts Newer posts →

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

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

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.