White Paper: Six Smarter Scheduling Techniques for Optimizing EDA Productivity
Discover a practical, improvement-driven guide to optimizing workloads
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Semiconductor firms depend on EDA tools at every stage of chip development—from system-level design to RTL simulation and physical layout. As verification workloads grow in scale and complexity, teams are under pressure to use compute, licenses, and engineering time as efficiently as possible. With major investments already made in tools and infrastructure, even small improvements in scheduling can deliver outsized gains in productivity and time-to-market.
That’s why forward-thinking verification engineers and IT managers are turning to smarter scheduling strategies—unlocking new levels of throughput, license utilization, and workload visibility across their server farms.
This white paper explores proven methods to boost throughput, minimize idle time, and increase license efficiency. Learn how design teams are rethinking workload management to overcome simulation delays, streamline emulation, and extend capacity with cloud—without adding more hardware.
Monitoring, measuring & optimizing EDA infrastructure
High-throughput, event-driven scheduling for faster job turnaround
License-first scheduling to maximize tool ROI
Design flow mapping & automation to improve efficiency
Optimizing emulation workloads to manage jobs end-to-end
Tapping hybrid cloud capacity when it matters most