White Papers & Case Studies
GDP-XL (Global Design Platform)
A Blueprint for EDA Infrastructure
The great expansion of data for semiconductor design poses great challenges for management and IT Infrastructure. To be successful, design teams will need to utilize a data orchestration platform to globally synchronize IP, development processes, and oceans of design data, including analytics for better product and resource decisions.
This paper covers methods for improving designers’ efficiency and team collaboration, best practices for effective IP development and reuse, tools for accelerating EDA jobs and reducing IT infrastructure and cloud computing costs with hybrid cloud bursting and multi-cloud, and how to accurately assess project design progress.
Design Data Management Worldwide Trends – Survey Report
IC Manage had an independent firm survey system and semiconductor design & verification engineers and engineering management on their design data management (DDM) practices and technologies in Q4 2021.
The results are presented below. Where appropriate, these results are compared with prior surveys to reveal insights and trends into how design & IP data management is evolving.
IP Central
IP Reuse Best Practices
The ability to create differentiated products for SoC, IC, and FPGA designs within narrow market windows depends heavily on how effectively design IP is reused in the design process.
This white paper covers best practices for maximizing the efficient reuse of internal & external IP from a data & design flow integration perspective. It discusses core practices for quality IP development, along with efficient mechanisms for managing a company’s dynamically changing IP across divergent design teams & derivative designs.
NXP Case Study: Enhanced IP Access & Reuse Approach
NXP established a company-wide IP lifecycle management methodology to improve IP publishing, discovery, and reuse. They defined uniform requirements for IP publishing so that engineers would be guided in completing those requirements.
As part of this, NXP deployed IC Manage IP Central XL platform, with an intuitive workflow to progress the IP through multiple stages – from initial capture to published for reuse, followed by tracing bug fixes and IP reuse effectiveness
Holodeck
Hybrid Cloud Bursting: 6 Implementation Fundamentals
During this time of data explosion and high-performance computing (HPC) requirements, cloud bursting can enable development teams from companies of all sizes to instantly run compute jobs with 1,000s to 10,000s of cores and more. This white paper discusses key hurdles and implementation fundamentals to address when setting up cloud bursting from an existing on-premise workflow. The detailed content can serve as helpful metrics as your company formulates its hybrid cloud bursting implementation plan.
AMD Case Study: Methodology to Enable Cloud for EDA tools
Simon Burke of AMD’s case study on using IC Manage Holodeck high speed I/O scale out for a cloud bursting enablement strategy for compute resource scaling on Amazon AWS. This report gives highlights from his presentation, including examples with Synopsys PrimeTime and VCS.
Gigaom: Manage Highly Demanding Storage Workloads in Hybrid Cloud Scenarios with IC Manage Holodeck
IC Manage Holodeck takes a unique approach to caching that enables users to take advantage of flash memory installed in the compute nodes and shared across high-speed local networks to intelligently cache data and metadata efficiently. The result: IC Manage enables users to accelerate many highly demanding workloads, both on-premises and in the cloud, to provide an impressive ROI quickly.
Bursting Cloud Applications to Azure
Covers how to use IC Manage Holodeck for accelerating Electronic Design Automation (EDA) jobs on Microsoft Azure while reducing IT infrastructure and cloud computing costs with instant hybrid cloud bursting.
Cloud bursting semiconductor design applications to AWS
This paper covers how to use IC Manage Holodeck for accelerating EDA jobs on the Amazon Web Services (AWS) and reducing IT infrastructure and cloud computing costs with instant hybrid cloud bursting.
Bursting semiconductor design applications to Google Cloud
Design teams will need to leverage cloud compute resources to meet project schedules and optimize infrastructure costs. This paper covers how to use IC Manage Holodeck for accelerating EDA jobs on the Google Cloud Platform (GCP) and reducing IT infrastructure and cloud computing costs with instant hybrid cloud bursting.
Envision
Functional Verification Big Data Analytics — Real-Time Insights
Using big data technology for verification analytics helps accelerate functional verification schedules. It offers key advantages to production verification environments, including those with a mix of tools from multiple EDA vendors. Companies can run hundreds of thousands of regressions a day and up to 10 billion events or more a year. Existing analysis methodologies are not scaling with these increasing data rates. As a result, access to verification reports based on log data can be very slow.
Viewing key metrics against customized targets for regression runs, debug convergence, and coverage progress, allows verification teams and management to identify verification bottlenecks and understand their root causes to best apply resources to meet tight schedules.