Manufacturing

To accelerate design and product development towards reducing time-to-market, manufacturing organizations are relying on more demanding simulations with increased model sophistication and details. This drives the need for fast compute requirements that dual-processors systems, with limited memory, can no longer meet. To that end, most independent software vendors have invested in scaling their applications to multiple processors. These can be run either on shared memory processing systems or on distributed memory systems (clusters). Market analysis shows that, when taking into account application scalability and software-licensing models, optimum system configurations, are in the 4 to 16 processors and 128 GB to 512 GB of main memory range. This makes solutions based on ScaleMP's aggregation platform an ideal choice for these environments. For entry-level solutions with up to four sockets and 128 GB RAM, vSMP Foundation Standalone provides the best price/performance compared to other solutions in this class. For larger problems, vSMP Foundation scales to higher memory and processing power capabilities providing up to 128 cores and 1 TB of shared memory.

Computational Structural Mechanics (CSM)

vSMP Foundation is optimized for Computational Structural Mechanics applications such as Ansys, Abaqus, LS-Dyna, etc. With the industry's largest x86 shared memory footprint, solutions based on ScaleMP's vSMP Foundation aggregation platform deliver the scalability and performance for complex physical modeling tasks. With the risk of generalizing, most implicit solvers tend to scale to 8, perhaps 16 processor cores and require large amounts of memory, favoring shared memory systems. Explicit solvers tend to scale better, but demand higher memory bandwidth. vSMP Foundation aggregation platforms offer the compute, memory, memory bandwidth advantages in one system, for both implicit and explicit solvers, optimally running simulations on a variety of processors (from 4 to 32).

With solutions based on vSMP Foundation, designers and engineers can deliver superior product designs, more cost effectively, and faster. Such solutions provide the capability to run more complex analyses on very detailed components or subassemblies, dramatically speeding up application run times, and significantly reducing costly engineering changes.

Computational Fluid Dynamics (CFD)

Computational Fluid Dynamics is time-consuming and performance intensive. The shared memory architecture of solutions based on vSMP Foundation deliver the scalability, performance and large memory required for complex physical modeling, especially important in the pre-processing and mesh generation. In addition, vSMP Foundation delivers the industry's highest memory bandwidth for shared-memory system (comparable to a cluster). The combination of the large memory, high memory bandwidth, and large number of processors makes solutions based on vSMP Foundation ideal for computational fluid dynamics simulations. These solutions enable design engineers to deliver superior product design more quickly providing the capability to run more complex analyses on a greater variety of fluid dynamics problems and significantly reduce application run time.