A Path To Increase Cell Utilization Rate And Decrease Routing Congestion In Chip Design Floorplanning

By Jim Schultz - 30 Nov, 2023 - Comments: 0

What do chip floorplanning and city planning have in common? As it turns out, quite a lot. This was the premise for an award-winning talk given by MediaTek at this year’s Synopsys User Group (SNUG) in Taiwan. Urban city development was used as an example to understand how utilization rate (UR) and congestion relate to chip planning. UR was defined in the example as population density while... » read more

ML-based Routing Congestion And Delay Estimation In Vivado ML Edition

By Xilinx - 03 Nov, 2021 - Comments: 0

The FPGA physical design flow offers a compelling opportunity for Machine Learning for CAD (MLCAD) for the following reasons: • An ML solution can be applied wholesale to a device family. • There is a vast data farm that can be harvested from device models and design data from broad applications. • There is a single streamlined design flow that an be instrumented, annotated, and quer... » read more

Unified Compression and LBIST in a Physically Aware Environment

By Cadence - 27 Feb, 2019 - Comments: 0

Unified compression is a new approach that unifies scan compression and logic built-in self-test (LBIST). It leverages recent innovations from Cadence in physically-aware design for test (DFT) to solve routing congestion and area issues from traditional discrete approaches and delivers a confident path to high-quality test. On a sample design, area savings of 35–47%, and scan wirelength savin... » read more

Dealing With New Bottlenecks

By Ed Sperling - 11 Jul, 2013 - Comments: 0

By Ed Sperling While the number of options for improving efficiency and performance in designs continues to increase, the number of challenges in getting chips at advanced process nodes out the door is increasing, too. Thinner wires, routing congestion, more power domains, IP integration and lithography issues are conspiring to make design much more difficult than in the past. So why aren�... » read more

Design Topology Requires Physical Data

By Ann Mutschler - 25 Apr, 2013 - Comments: 0

By Ann Steffora Mutschler To best understand a design topology and make decisions on clock/register gating, vector sets are required for the RTL tools to understand how to gate clocks and registers. However, if certain constraints are set on all enabled signals in RTL they can be re-used for gating clocks and registers downstream where enablers are not available—even without needing a ... » 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

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.