Electronic Design Automation

Electronic Design Automation (EDA)

Altair provides leaders in the electronics industry with electronic design automation (EDA) software to efficiently verify and evaluate their product designs. Our products significantly improve the design-to-manufacturing process, eliminate design iterations, and significantly reduce time-to-market. For printed circuit board (PCB) design, embedded systems development and smart product realization, we provide tools that address the challenges of ever-increasing performance and product complexity.

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Design Flow Mapping & Optimization

The Tool Every VLSI Team Needs

When you need to fit millions of transistors on a single chip, optimizing for design efficiency is critical.

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Integrated Software for PCB Design

Integrated Software for PCB Design

Altair PollEx? is the most comprehensive and integrated set of PCB design viewing, analysis, and verification tools for electrical, electronics, and manufacturing engineers. PollEx transfers data flawlessly between the industry’s most popular ECAD and simulation tools and enables many of the world’s major electronics corporations to quickly visualize and review PCB designs. Its checking tools detect issues early in the design to avoid product failures and simplify manufacture and assembly.

Visual Environment for Embedded Systems

Visual Environment for Embedded Systems

Altair Embed? is a proven tool for model-based firmware development of embedded systems including motor control, IoT devices, and vision systems. With Embed, you can design, analyze, and simulate your embedded system using block diagrams and state charts, then automatically generate compact and optimized code to run on an extensive selection of microcontrollers from Texas Instruments?, STMicroelectronics?, Arduino?, Raspberry Pi?, and others. Hardware-in-the-Loop testing is fully supported using a high-speed bidirectional communication link for data collection and real-time tuning.

Optimize EDA Job Scheduling

Optimize EDA Job Scheduling

Trusted for semiconductor design and EDA, Altair Accelerator? is the industry’s fastest enterprise job scheduler — with scalable, event-driven architecture for highest throughput. Accelerator maximizes capacity utilization and can run millions of jobs per day with sub-millisecond latency for top performance. It provides scalable, small-footprint architecture and comprehensive policy management features with advanced license scheduling tracks, out-of-queue license usage, and dynamic license checkouts during a job’s lifetime.


Dependency Analysis and I/O Profiling

Dependency Analysis and I/O Profiling

We make every engineer an I/O expert with Altair Breeze™. With Breeze, you can quickly solve software deployment problems and resolve file and network dependencies. With detailed data for storage exports and summary reports for sharing, Breeze identifies good and bad I/O for easy wins. Even when programs are designed well, it’s easy for local settings to affect performance. Mistakes such as storing data in the wrong place, small I/O, and excess metadata can overload compute, network, and storage. By using Breeze and following our best practices you’ll fix short-term problems, understand storage requirements, and optimize future planning. Breeze profiles application file I/O so you can ensure files are stored in the right place.

Live System Telemetry and I/O Monitoring

Live System Telemetry and I/O Monitoring

As distributed systems and compute clusters become more complex, the need for monitoring is increasingly important. To be able to run the compute efficiently and to forecast and design for the future, it’s important to have visibility into what is being run today. Altair Mistral™ is the leading application monitoring tool for HPC and scientific computing. It’s lightweight enough to run in production but flexible enough to ensure that you get the most from on-premises HPC and have the information to manage your hybrid cloud. Mistral is a storage-agnostic solution that monitors I/O bandwidth, metadata, I/O performance, CPU, and memory, quickly locating rogue jobs and storage bottlenecks and keeping track of what’s running on clusters day-to-day.

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