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Itility - Implementing Design Flow Optimizer (DFO) for EDA environments - logo

Itility - Implementing Design Flow Optimizer (DFO) for EDA environments

Design Flow Optimizer (DFO) is a Software Solution deployed through a professional service by Itility. It helps R&D and IT teams to balance cost and performance for EDA simulation workload (like Synopsis, Cadence) across on-premises and cloud environments. DFO enables R&D to analyse R&D projects demand, actual consumption, cost and wait time for design simulations and tape-outs (monthly, daily). Enabeling R&D to accelerate product release with optimal costs and minimal failures. Achieve up to 40% savings on compute and licences, near-zero R&D wait times, and 80% resource utilization.
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About

Optimize your R&D - EDA workflows across on-premises and AWS cloud environments, delivering up to 40% cost savings, near-zero R&D wait times, and 80% resource utilization, enabling accelerated product releases with minimal failures.

The challenge:

Semiconductor R&D departments must balance time-to-market, cost, and failure rates, with spending reaching 15% of product revenue. Design simulations using high-cost EDA tools are essential but compete for limited on-premises resources.

Cloud solutions offer scalability and faster simulations but can lead to significant and potentially uncontrolled increases in operational expenses. The challenge is optimizing performance while controlling expenses.

Our Solution:

Design Flow Optimizer (DFO) is a solution deployed by Itility (Professional Service). It helps R&D and IT teams balance cost and performance for EDA workloads across on-premises and cloud environments. Leveraging advanced optimization algorithms, GenAI prompting, and cloud cost control mechanisms, DFO enables intelligent resource allocation by analyzing project demand, actual consumption, costs, and wait times.

DFO enables R&D teams to optimize design simulations, allowing them to prioritize either the lowest cost or the fastest time to market. With expert deployment and support, DFO empowers R&D to accelerate product releases while minimizing failures.

How it works:

DFO - Smart Optimization Strategy. The Design Flow Optimizer (DFO) enhances R&D design flows by focusing on four key areas:

Aligning with R&D Demand: Matches R&D projects with the most suitable EDA simulation types to ensure efficiency.

Optimal Cost Model Selection: Identifies the best cost model for each project based on demand, balancing expenses and performance.

Intelligent Scheduling: Selects the ideal time slots for simulations, prioritizing projects based on urgency and resource availability.

Cloud Resource Right-Sizing: Dynamically adjusts cloud resources to fit the specific needs of each EDA simulation.

Streamlining R&D with a Three-Phase Optimization Process.

Phase 1. Strategic Project Planning with DFO GenAI Assistant: Empower project leads with instant insights into project demands. Using our secure GenAI interface, they can quickly determine the optimal balance between speed and cost

Phase 2. Unified Platform Integration: Seamlessly merge on-premise and cloud environments into a flexible R&D design platform. This empowers teams to dynamically allocate EDA workloads (simulations, tape-outs) based on availability and needs.

Phase 3. Automated Optimization: Execute "what-if" scenarios driven by project lead preferences and platform usage data. This ensures simulations are consistently run at the lowest cost or fastest speed, achieving optimal efficiency.

What do I get? (what’s included):

One time: Itility guided deployment process (Professional Service)

Base product: Observability views of R&D projects’ demand and consumption for current design simulations

Optional Feature 1: A GenAI based assistant that runs simulations and provides best-fit scenarios for cost and priorities

Optional Feature 2: Add-on to observability views of EDA license consumption and cost per R&D project

Optional Feature 3: Automated reconfiguration of queues to optimally distribute scheduled HPC workloads

Architecture:

DFO's core functionality is delivered through a serverless, PaaS-based design. This architecture removes dependencies on specific availability zones for consistent operation. Python code and packages are managed and deployed using AWS Lambda layers. DFO offers flexible deployment options: it can be deployed within your existing AWS environment, or in a separate AWS account with appropriate permissions to access EDA scheduler log data.

Value Drivers

DFO Delivers Tangible Results

DFO isn't just a solution; it's a strategic advantage that drives significant value for your R&D operations.

Substantial Cost Savings: Experience cost reductions of up to 40% by optimizing resource allocation and eliminating unnecessary expenditures.

Near-Zero Wait Times: Dramatically reduce R&D engineering wait-times, accelerating your development cycles and boosting productivity.

Maximized Resource Utilization: Achieve up to 80% resource utilization, ensuring every asset is working efficiently for your projects.

Unparalleled Insight and Control: Gain complete visibility into your R&D costs and time-to-market, empowering you to make informed decisions and maintain control over your product release timelines.

In essence, DFO provides the power to accelerate innovation, reduce costs, and maintain a competitive edge. It's not just about optimizing workflows; it's about optimizing your entire R&D potential.

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