SIMULIA: Delivering Scalable Performance
SIMULIA advances customers’ simulations with large Intel® Xeon® processor-based cluster from HP
From aerospace to plastics, engineers need greater scalability and performance to obtain faster turnaround times on higher-fidelity simulations. Engineering software leader SIMULIA has invested in an HP ProLiant* DL1000 cluster based on the Intel® Xeon® processor 5500 series to help meet those needs. SIMULIA uses the 512-core cluster to optimize and test its codes for scalability and performance, and to improve post-sales support for its fast-growing high-performance computing (HPC) customer base. SIMULIA plans to acquire a cluster based on the Intel® Xeon® processor 5600 series and expects to see another 15 to 20 percent increase in performance.
Challenges
• Scalable software. Provide steady increases in HPC performance and scalability so customers can tackle more complex design challenges and improve engineering productivity.
• Expert support. Replicate customers’ larger clusters to support them effectively.
• Delivering innovation. Put innovative products in end users’ hands quickly.
Solution
• Industry-leading technologies from Intel and HP. SIMULIA worked with Intel and HP to deploy a large-scale HP Cluster Platform* based on HP ProLiant* DL1000 servers that met SIMULIA’s budget and power requirements. The cluster has 128 quad-core Intel® Xeon® processors 5500 series and runs Novell SUSE Linux Enterprise*.
Impact
• Scalable proof. SIMULIA strengthens its HPC leadership by demonstrating that its realistic simulation solutions scale across large clusters and can be supported effectively.
• Customer value. Customers can improve engineering productivity with rapid turnaround times even as they run larger, more detailed models. Customers can control costs by running workloads on cost-effective, Intel® technology-based clusters that previously required expensive RISC or single-node, large-memory platforms.
• Faster development cycles. The cluster doubles SIMULIA’s computing capacity, allowing its developers to deliver new capabilities more quickly.
Read the full SIMULIA: Delivering Scalable Performance Case Study.
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SIMULIA: Delivering Scalable Performance
SIMULIA advances customers’ simulations with large Intel® Xeon® processor-based cluster from HP
From aerospace to plastics, engineers need greater scalability and performance to obtain faster turnaround times on higher-fidelity simulations. Engineering software leader SIMULIA has invested in an HP ProLiant* DL1000 cluster based on the Intel® Xeon® processor 5500 series to help meet those needs. SIMULIA uses the 512-core cluster to optimize and test its codes for scalability and performance, and to improve post-sales support for its fast-growing high-performance computing (HPC) customer base. SIMULIA plans to acquire a cluster based on the Intel® Xeon® processor 5600 series and expects to see another 15 to 20 percent increase in performance.
Challenges
• Scalable software. Provide steady increases in HPC performance and scalability so customers can tackle more complex design challenges and improve engineering productivity.
• Expert support. Replicate customers’ larger clusters to support them effectively.
• Delivering innovation. Put innovative products in end users’ hands quickly.
Solution
• Industry-leading technologies from Intel and HP. SIMULIA worked with Intel and HP to deploy a large-scale HP Cluster Platform* based on HP ProLiant* DL1000 servers that met SIMULIA’s budget and power requirements. The cluster has 128 quad-core Intel® Xeon® processors 5500 series and runs Novell SUSE Linux Enterprise*.
Impact
• Scalable proof. SIMULIA strengthens its HPC leadership by demonstrating that its realistic simulation solutions scale across large clusters and can be supported effectively.
• Customer value. Customers can improve engineering productivity with rapid turnaround times even as they run larger, more detailed models. Customers can control costs by running workloads on cost-effective, Intel® technology-based clusters that previously required expensive RISC or single-node, large-memory platforms.
• Faster development cycles. The cluster doubles SIMULIA’s computing capacity, allowing its developers to deliver new capabilities more quickly.
Read the full SIMULIA: Delivering Scalable Performance Case Study.
