category: Whitepapers

category: IoT, Security & Automotive

HBM3E Memory: Break Through to Greater Bandwidth
By Rambus - 03 Apr, 2024 - Comments: 0

Delivering unrivaled memory bandwidth in a compact, high-capacity footprint, has made HBM the memory of choice for AI training. HBM3 is the third major generation of the HBM standard, with HBM3E offering an extended data rate and the same feature set. The Rambus HBM3E/3 Controller provides industry-leading performance to 9.6 Gb/s, enabling a memory throughput of over 1.23 TB/s for training reco... » read more

What’s At Stake In System Design?
By Cadence - 03 Apr, 2024 - Comments: 0

When engineers refer to system analysis, they are referring to tool functions for improving an overall electronics design. What you will gain from this eBook: Power and Signal Integrity Insights into harmonic balancing and crosstalk analysis Learning about loop gain and transmission rates Examining the necessity of power-aware systems Electromagnetic Analysis Knowledge ... » read more

Faster And Better Floorplanning With ML-Based Macro Placement
By Synopsys - 03 Apr, 2024 - Comments: 0

The chips contained in today’s consumer and commercial electronic products are staggering in size and complexity. The largest devices include central processing units (CPUs), graphics processing units (GPUs), and system-on-chip (SoC) devices that integrate many functions on a single die. Additionally, chips are expanding beyond their traditional borders with multi-die approaches such as 2.5DI... » read more

Enabling The Next Generation Of Smarter Self-Navigating Robots Using Hybrid ToF Technology
By Infineon - 03 Apr, 2024 - Comments: 0

Previous generations of robot vacuum cleaners have used a random pattern for cleaning that is inefficient and slow. Next-generation robots are much smarter and generate a map of the environment using sensors to localize themselves. This provides users with a floorplan of their home, from which the rooms and areas can be selected for cleaning or restricted from access. The new robots accomplish ... » read more

Ultimate Guide To Machine Learning For Embedded Systems
By Renesas - 03 Apr, 2024 - Comments: 0

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict from data. This is a big diversion from other fields which poses the limitation of programming instructions instead of learning from them. Machine learning in embedded systems specifically target ... » read more

Navigating Design Challenges
By Siemens EDA - 28 Mar, 2024 - Comments: 0

Explore the future of IC design with the Calibre Shift left initiative. In this paper, author David Abercrombie reveals how Siemens is changing the game for block/chip design-stage verification by moving Calibre verification and reliability analysis solutions further left in the design flow, including directly inside your P&R tool cockpit. Discover how you can reduce traditional long-loop v... » read more

Everything You Need to Know About Wi-Fi 7
By Keysight - 27 Mar, 2024 - Comments: 0

The IEEE 802.11be standard introduces several new features for improving WLAN efficiency, capacity, and coverage. Features such as multi-link operation (MLO) and multiple resource units (multi-RUs) increase the number of configurations and test scenarios to validate a device thoroughly. In addition to physical-layer testing, test engineers must emulate signaling to verify interactions between a... » read more

Leveraging Automotive Chip Design Techniques For Space-Borne Applications
By Synopsys - 27 Mar, 2024 - Comments: 0

Space-borne electronics must operate in an unforgiving environment with harsh conditions and little opportunity to repair failing components. A combination of functionally safe design, RHBD, and robust IP is required. Fortunately, automotive applications share many of the same challenges, and techniques to address these challenges are well established and proven. This white paper surveys the ma... » read more

Sea Of Processors Use Case
By Movellus - 27 Mar, 2024 - Comments: 0

Core counts have been increasing steadily since IBM's debut of the Power 4 in 2001, eclipsing 100 CPU cores and over 1,000 for AI accelerators. While sea of processor architectures feature a stamp and repeat design, per-core workloads aren't always going to be symmetrically balanced. For example, a cloud provider (AI or compute) will rent out individual core clusters to customers for specialize... » read more

Cadence Cerebrus In SaaS And Imagination Technologies Case Study
By Cadence - 27 Mar, 2024 - Comments: 0

Artificial Intelligence (AI) has made noteworthy progress and is now ready and available for electronic design automation. The Cadence Cerebrus Intelligent Chip Explorer utilizes AI—specifically, reinforcement machine learning (ML) technology—combined with the industry-leading Cadence digital full flow to deliver better power, performance, and area (PPA) more quickly. However, this highl... » read more

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