Abaqus Version 6.6 Performance Data

The Abaqus benchmark problems are intended to provide an estimate of the performance that can be expected when running representative Abaqus jobs on different computer platforms. For Version 6.6, Abaqus has updated the benchmark problems so that they all now exhibit performance characteristics of real-world applications.

The benchmark problems listed here are available upon request. If you are a customer, see Answer 2342 for instructions on obtaining the input files associated with these benchmark problems. If you are a hardware vendor and would like to submit performance data please contact .

NOTE: The Abaqus benchmark problems may change between releases. Therefore the timing data presented on these pages should not be directly compared with benchmark data obtained using other versions of Abaqus.

Contents

Abaqus/Standard Benchmark Problems S1: Plate with gravity load S2: Flywheel with centrifugal load S3: Impeller frequencies S4: Cylinder head bolt-up S5: Stent expansion S6: Tire footprint

Abaqus/Explicit Benchmark Problems E1: Car crash E2: Cell phone drop E3: Sheet forming E4: Projectile penetration E5: Blast loaded plate E6: Concentric spheres

Abaqus Performance Data

Abaqus/Standard Performance Data Windows/x86-32 Windows/x86-64 Linux/x86-32 HP-UX/Itanium IBM AIX/Power Linux/Itanium Linux/x86-64

Abaqus/Explicit Performance Data Windows/x86-32 Linux/x86-32 HP-UX/Itanium IBM AIX/Power Linux/Itanium Linux/x86-64

Abaqus/Standard Benchmark Problems

The problems described below provide an estimate of the performance that can be expected when running Abaqus/Standard on different computers. The jobs are representative of typical Abaqus/Standard applications including linear statics, nonlinear statics, and natural frequency extraction.

S1: Plate with gravity load

This benchmark is a linear static analysis of a plate with gravity loading. The plate is meshed with second-order shell elements of type S8R5 and uses a linear elastic material model. Edges of the plate are fixed. There is no contact.

S2: Flywheel with centrifugal load

This benchmark is a mildly nonlinear static analysis of a flywheel with centrifugal loading. The flywheel is meshed using first-order hexahedral elements of type C3D8R and uses an isotropic hardening Mises plasticity material model. There is no contact. The nonlinearity in this problem arises from localized yielding in the vicinity of the bolt holes. Two versions of this benchmark are provided. Both versions are identical except that one uses the direct sparse solver and the other uses the iterative solver.

S3: Impeller frequencies

This benchmark extracts the natural frequencies and mode shapes of a turbine impeller. The impeller is meshed with second-order tetrahedral elements of type C3D10 and uses a linear elastic material model. Frequencies in the range from 100 Hz. to 20,000 Hz. are requested. Three versions of this benchmark are provided: a 360,000 DOF version that uses the Lanczos eigensolver, a 1,100,000 DOF version that uses the Lanczos eigensolver, and a 1,100,000 DOF version that uses the AMS eigensolver.

S4: Cylinder head bolt-up

This benchmark is a mildly nonlinear static analysis that simulates bolting a cylinder head onto an engine block. The cylinder head and engine block are meshed with tetrahedral elements of types C3D4 or C3D10M, the bolts are meshed using hexahedral elements of type C3D8I, and the gasket is meshed with special-purpose gasket elements of type GK3D8. Linear elastic material behavior is used for the block, head, and bolts while a nonlinear pressure-overclosure relationship with plasticity is used to model the gasket. Contact is defined between the bolts and head, the gasket and head, and the gasket and block. The nonlinearity in this problem arises both from changes in the contact conditions and yielding of the gasket material as the bolts are tightened. Three versions of this benchmark are provided: a 700,000 DOF version that is suitable for use with the direct sparse solver on 32-bit systems, a 5,000,000 DOF version that is suitable for use with the direct sparse solver on 64-bit systems, and a 5,000,000 DOF version that is suitable for use with the iterative solver on 64-bit systems.

S5: Stent expansion

This benchmark is a strongly nonlinear static analysis that simulates the expansion of a medical stent device. The stent is meshed with hexahedral elements of type C3D8 and uses a linear elastic material model. The expansion tool is modeled using surface elements of type SFM3DR. Contact is defined between the stent and expansion tool. Radial displacements are applied to the expansion tool which in turn cause the stent to expand. The nonlinearity in this problem arises from large displacements and sliding contact. Note: SIMULIA would like to acknowledge Nitinol Devices and Components for providing the original finite element model of the stent. The stent model used in this benchmark is not representative of current stent designs.

S6: Tire footprint

This benchmark is a strongly nonlinear static analysis that determines the footprint of an automobile tire. The tire is meshed with hexahedral elements of type C3D8, C3D6H, and C3D8H. Linear elastic and hyperelastic material models are used. Belts inside the tire are modeled using rebar layers and embedded elements. The rim and road surface are modeled as rigid bodies. Contact is defined between the tire and wheel and the tire and road surface. The analysis sequence consists of three steps. During the first step the tire is mounted to the wheel, during the second step the tire is inflated, and then during the third step a vertical load is applied to the wheel. The nonlinearity in the problem arises from large displacements, sliding contact, and hyperelastic material behavior.

Abaqus/Explicit Benchmark Problems

The problems described below provide an estimate of the performance that can be expected when running Abaqus/Explicit on different computers. The jobs are representative of typical Abaqus/Explicit applications including high-speed dynamic impact events and quasi-static events with complicated contact conditions. The number of increments listed in the tables below are approximate and can vary somewhat depending on the hardware platform and the number of parallel domains.

E1: Car crash

This benchmark consists of passenger car impacting a rigid wall. The car is meshed primarily with shell elements of type S3RS and S4RS with isotropic hardening Mises plasticity material behavior. The various compenents of the car are connected using multi-point constraints and connector elements. Many of the suspension and drivetrain components are modeled as rigid bodies. The car, road surface, and wall are placed into a single general contact domain and the car is given an initial velocity of 25 mph.

E2: Cell phone drop

This benchmark consists of a simplified model of a cell phone impacting a fixed rigid floor. The cell phone components are meshed using a variety of element types including C3D8R, C3D10M, and S4R. The material behavior is modeled using linear elasticity, isotropic hardening Mises plasticity, and hyperelasticity. The components are assembled using surface-based mesh ties and placed into a general contact domain that also includes the floor. The initial velocity and orientation of the cell phone is defined such that a severe oblique impact occurs.

E3: Sheet forming

This benchmark consists of forming a sheet metal part by the deep drawing process. The deformable sheet metal blank is meshed with shell elements of type S4R and uses an isotropic hardening Mises plasticity material model. The tools are meshed using surface elements of type SFM3D4R which are declared rigid. General contact is defined between the blank and tools. The analysis sequence consists of two steps. During the first step the blank is clamped between the binder and die and then during the second step the punch is displaced to form the part. Since the process is essentially quasi-static the computations are performed over a sufficiently long time period to render inertial effects negligible. The performance of this analysis is a direct measure of the performance of the three-dimensional general contact algorithm.

E4: Projectile penetration

This benchmark consists of a projectile penetrating a steel plate at an oblique angle. Both the projectile and plate are meshed using hexahedral elements of type C3D8R and use a rate-dependent isotropic hardening Mises plasticity material model with failure. The projectile and plate are placed into a general contact domain with surface erosion. The edges of the plate are held fixed and the initial velocity of the projectile is specified so that the projectile passes completely through the plate.

E5: Blast loaded plate

This benchmark consists of a stiffened steel plate subjected to a high intensity blast load. The plate is meshed using shell elements of type S4R and uses an isotropic hardening Mises plasticity material model. There is no contact.

E6: Concentric spheres

This benchmark consists of a large number of concentric spheres with clearance between each sphere. The spheres are meshed using hexahedral elements of type C3D8R and use an isotropic hardening Mises plasticity material model. All of the spheres are placed into a single general contact domain and the outer sphere is violently shaken which results in complex contact interactions between the contained spheres.

Abaqus Performance Data

All times are given in seconds and include the time required for the main analysis executables (standard.exe and explicit.exe), the analysis input file processor (pre.exe) and the Abaqus/Explicit packager (package.exe).

Sequential Execution

The times listed for sequential execution are elapsed time (wall-clock time) when the problem is running stand-alone on the computer. For Abaqus/Standard, the elapsed time may vary for the same computer depending on the amount of memory that is assigned to the Abaqus/Standard job and the type of disks that are used. For Abaqus/Explicit, the memory configuration on the machine should not significantly affect the elapsed time provided that sufficient memory available. All Abaqus/Explicit timing data has been obtained using the single precision executable.

Unless otherwise noted, all of the parallel runs have been made using the default parallel settings in Abaqus.

The performance data reported here is intended to be used as a guideline. The times may change due to modifications within Abaqus and should not be used to compare platforms unless the same version of Abaqus has been used on both platforms. The times may also depend on the actual configuration of the computer. If a detailed comparison between computers is important, then the benchmark problems should be rerun using the same version of Abaqus and the actual configuration of the computer that is of interest.

Simultaneous Execution

The times listed for simultaneous execution are intended to represent situations where the machine may be heavily loaded with jobs as might occur in a multi-user environment. These times are obtained by running multiple copies of the same job simultaneously.

For Abaqus/Standard, the set of jobs used for simultaneous execution comprise s1, s2a, and s3a. For Abaqus/Explicit, the set of jobs used for simultaneous execution comprise e3, e4, and e5. The Total Time per Set is the sum of the times required to run multiple versions of every job in a set simultaneously. For example, the Total Time per Set running 3 jobs simultaneously would be obtained by adding the times required to run 3 s1 jobs at the same time, followed by 3 s2a jobs at the same time, and so on until all the jobs in the set have been run. The data for "1 Simultaneous" jobs is populated from the timings generated by the sequential runs. Each job is run using only a single processor.

The column headed "Average Time per Set" is the Total Time per Set divided by the number of simultaneous jobs. These times provide a basis for estimating the relative performance of computer systems heavily loaded with Abaqus jobs.

Abaqus/Standard Performance Data

Windows/x86-32

NOTE:  Parallel element operations are not supported on the Windows/x86-32 platform

Windows/x86-64

NOTE:  Parallel element operations are not used here as this machine does not have Windows Compute Cluster Server which is necessary to support parallel element operations

Linux/x86-32

HP-UX/Itanium

IBM AIX/Power

Linux/Itanium

Linux/x86-64

Abaqus/Explicit Performance Data

Windows/x86-32

Linux/x86-32

HP-UX/Itanium

IBM AIX/Power

Linux/Itanium

Linux/x86-64