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Managing TCO in HPC Hybrid Cloud Environments

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Enabled by improvements in security, new instance types, and fast interconnects, high-performance computing (HPC) users are increasingly shifting workloads to the cloud. With cloud usage increasing, however, managing and containing costs is a growing concern. As organizations become more reliant on cloud, they are also concerned with staying portable and flexible, and avoiding lock-in to a single cloud ecosystem or provider.

In this paper, we make a case for HPC hybrid cloud and explain how operators can manage total cost of ownership (TCO) more effectively. We present a simple TCO model that can help users estimate the cost of hybrid cloud deployments and describe various Altair solutions that can help organizations quickly and cost-effectively implement private and hybrid multi-cloud HPC environments. Using our TCO model, we illustrate how Altair cloud automation and spend management solutions such as Altair® Control™ and Altair® NavOps® can boost productivity and reduce cloud-related expenses while delivering a compelling return on investment (ROI).

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Six Smarter Scheduling Techniques for Optimizing EDA Productivity

Six Smarter Scheduling Techniques for Optimizing EDA Productivity

Semiconductor firms rely on software tools for all phases of the chip design process, from system-level design to logic simulation and physical layout. Given the enormous investment in tools, design talent, and infrastructure, even minor improvements in server farm efficiency can significantly impact the bottom line. As a result, verification engineers and IT managers are constantly looking for new sources of competitive advantage. Workload management plays a crucial role in helping design teams share limited resources, boost simulation throughput, and maximize productivity. In this paper, we discuss six valuable techniques to help improve design center productivity.

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