Hardware Recommendations and Certifications

View the most recent recommended graphic boards, laptops and desktop hardware configurations.

Recommended Graphics Boards

Recommended CAE/CAD graphic boards to use with HyperWorks applications.

The most recent vendor/manufacturer drivers should be used and all driver support for these cards should be addressed to the appropriate manufacturer of the graphic board.

Note: We no longer will support AMD graphics cards on Linux x86_64 operating systems in HyperWorks 2019 and higher products.

AMD Graphics Card (GPU)

	Adapter Type	Driver Version (minimum or higher)
AMD (RadeonPro & FirePro 3D series)	Ultra High-End RadeonPro WX 9100 FirePro W9100 RadeonPro WX 8200 FirePro W8100 High-End RadeonPro WX 7100 FirePro W7100 Mid-Range RadeonPro WX 5100 FirePro W5100 Entry Level RadeonPro WX 4100 RadeonPro WX 3100 RadeonPro WX 2100 FirePro W4100 FirePro W2100	Windows 7/10 (64-bit) 18.Q3 Linux (64-bit) Not Supported

NVIDIA Graphics Cards (GPU)

	Adapter Type	Driver Version (minimum or higher)
NVIDIA (Quadro series)	Ultra High-End Quadro RTX 6000 Quadro GV100 Quadro GP100 Quadro P6000 Quadro M6000 Quadro K6000 High-End Quadro P5000 Quadro M5000 Quadro K5200 Quadro K5000 Quadro P4000 Quadro M4000 Quadro K4200 Quadro K4000 Mid-Range Quadro P2000 Quadro M2000 Quadro K2200 Quadro K2000 Quadro K2000D Entry Level Quadro P1000 Quadro P600 Quadro P400 Quadro K1200 Quadro K620 Quadro K600 Quadro K420	Windows 7/10 (64-bit) ODE Graphics Driver 419.53 (or higher) Linux (64-bit) Long Lived Driver 419.53 (or higher)

Note: In order to provide advanced graphical capabilities and features in the HyperWorks products, there is a minimum requirement of OpenGL 3.2. Not meeting this hardware and driver requirement may cause problems with newer HyperWorks versions and features. Performance of HyperWorks may be degraded with compositing desktop effects enabled under Linux environments.

HyperWorks Graphical User Interface (GUI) products, when used with Ultra High Definition (UHD) displays consisting of 1920x1200 or higher (for example, 3200x1800, 3840x2160 or 4096x2160), may result in graphical problems. Some GUI items may not be displayed correctly, some functionality such as image captures may not capture images correctly, and window selection may become an issue. HyperWorks 2019 does not officially support these high screen resolutions. We suggest setting your resolution to 1920x1200 or lower to resolve or minimize these types of issues from occurring. Our development teams are aware of these problems and are working closely with the hardware vendors to find a quick resolution.

Recommended Laptop/Notebook Graphics Boards

Manufacturer	Adaptor Type	Driver Version (minimum or higher)
AMD (FirePro and RadeonPro Mobility series)	WX 7100M WX 4170M WX 4150M WX 4130M WX 3100M WX 2100M W7170M W6150M W5170M W5130M W4190M	Windows 7/10 (64-bit): 18.Q3 Note: Check with manufacturer or laptop vendor OEM for official driver support and for most recent driver updates.
NVIDIA (Quadro mobility series)	P5000 P4000 P3000 M5000M M4000M M3000M M2200M M2000M M1000M M620M M520M M600M M500M K5100M K4100M K3100M K2200M K2100M K1100M K620M K610M K510M	Windows 7/10 (64-bit): 419.53 Note: Check with manufacturer or laptop vendor OEM for official driver support and for most recent driver updates. NVIDIA does not support Windows Vista drivers, and laptop OEM drivers should be used.

Manufacturer

Adaptor Type

Driver Version

(minimum or higher)

AMD

(FirePro and RadeonPro Mobility series)

WX 7100M
WX 4170M
WX 4150M
WX 4130M
WX 3100M
WX 2100M

W7170M
W6150M
W5170M
W5130M
W4190M

Windows 7/10

(64-bit): 18.Q3

Note: Check with manufacturer or laptop vendor OEM for official driver support and for most recent driver updates.

NVIDIA

(Quadro mobility series)

P5000
P4000
P3000

M5000M
M4000M
M3000M
M2200M
M2000M
M1000M
M620M
M520M
M600M
M500M

K5100M
K4100M
K3100M
K2200M
K2100M
K1100M
K620M
K610M
K510M

Windows 7/10

(64-bit): 419.53

Note: Check with manufacturer or laptop vendor OEM for official driver support and for most recent driver updates.

NVIDIA does not support Windows Vista drivers, and laptop OEM drivers should be used.

Comments

In order to provide advanced graphical capabilities and features in the HyperWorks products, there is a minimum requirement of OpenGL 3.2. Not meeting this hardware and driver requirement may cause problems with newer HyperWorks versions and features. Performance of HyperWorks may be degraded with compositing desktop effects enabled under Linux environments.

Recommended Workstation Desktop and Laptop/Notebook Hardware

DELL (Precision)

Table 1.
Desktop			Laptop/Notebook
Model	GPU		Model	GPU
	AMD (FirePro/RadeonPro)	NVIDIA (Quadro)		AMD (RadeonPro)	NVIDIA (Quadro)
3420T	WX 4100 WX 3100 WX 2100	P1000 P620 P600 P400	5520 AIO	WX 7100M	N/A
3420T	WX 4100 WX 3100 WX 2100	P1000 P620 P600 P400	5520	N/A	M1200M
3620T	WX 7100 WX 5100 WX 4100 WX 3100 WX 2100 W7100 W5100	P4000 P2000 P1000 P620 P600 P400 M4000	5530	N/A	P2000M P1000M
			5720	WX 7100M	N/A
			7520	WX 7100M	P5000M P3000M
5810	WX 4100 WX 5100 WX 7100 W8100 W7100 W9100	P6000 P4000 P2000 P1000 P600 P400 M5000	7720	WX 7100M	P5000M P4000M P3000M P1200M
5810	WX 4100 WX 5100 WX 7100 W8100 W7100 W9100	P6000 P4000 P2000 P1000 P600 P400 M5000	7530	WX 4150M	P4000M P3200M P2000M
5820/7820	WX 9100 WX 7100 WX 5100 WX 4100 WX 3100 WX 2100	GP100 P6000 P5000 P4000 P2000 P1000 P620	7730	W7100M WX 4150M	P5200M P4200M P3200M
7920	WX 9100 WX 7100 WX 5100 WX 4100 WX 3100 WX 2100	GP100 P5000 P6000 P4000 P2000 P1000 P620	7730	W7100M WX 4150M	P5200M P4200M P3200M

Lenovo Workstations (ThinkStation / ThinkPad)

Table 2.
Desktop			Laptop/Notebook
Model	AMD (FirePro)	NVIDIA (Quadro)	Model	AMD (FirePro)	NVIDIA (Quadro)
P320	N/A	P400 P600 P1000 P2000 P4000	P40 Yoga	N/A	M500M
P320	N/A	P400 P600 P1000 P2000 P4000	P50s	N/A	M500M
P320 SFF	N/A	P400 P600 P1000	P51s	N/A	M520M
P330 TWR/ P330 SFF	N/A	P400 P620 P1000 P2000 P4000	P50	N/A	M1000M M2000M
P330 Tiny	N/A	P620 P1000	P51	N/A	M1200M M2200M
P520	N/A	P400 P600 P1000 P2000 P4000 P5000	P71	N/A	M620M P3000M P4000M P5000M
P720	N/A	P400 P600 P1000 P2000 P4000 P5000 P6000 GP100	P52	N/A	P1000M P2000M P3200M
P720	N/A	P400 P600 P1000 P2000 P4000 P5000 P6000 GP100	P72	N/A	P600M P2000M P3200M P4200M P5200M
P920	N/A	P400 P600 P1000 P2000 P4000 P5000 P6000 GP100	P52s	N/A	P500M
P920	N/A	P400 P600 P1000 P2000 P4000 P5000 P6000 GP100	P1 Mobility	N/A	P2000M P1000M

Comments

For NVIDIA GPU based laptops/notebooks the Optimus power saving option in the BIOS should be disabled and the NVIDIA drivers properly installed for optimal performance in HyperWorks.

For AMD GPU based laptops/notebooks; the Enduro/Switchable Graphics power saving option should be disabled and the AMD drivers properly installed for optimal performance in HyperWorks.

Optimus (Intel/NVIDIA) enabled drivers may create performance issues with notebooks/laptops compared to a dedicated non-shared GPU driver. Disabling the Optimus feature in BIOS, if available, will help give the best overall graphics performance.

Disable nView Window manager under NVIDIA drivers if you experience random crashes and/or issues.

All power saving modes, settings and governors for CPU frequencies and GPU performance should be set to maximum settings in order to get the optimal performance out of HyperWorks. This includes smooth graphics and high frame rates (FPS) on Windows and Linux platforms.

HyperWorks 2019 Solver Hardware Configuration Recommendations

Recommended hardware configurations for HyperWorks Solvers.

AcuSolve Solver

Problem Size	Small	Medium	Large
Typical Workload Steady State or Transient	Steady state: Up to 1M nodes Transient: Up to 100K nodes	Steady state: Up to 10M nodes Transient: Up to 1M nodes	Steady state: Greater than 10M nodes Transient: Greater than 1M nodes
Throughput ¹	Single job	Single job	Single job
CPU ²	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”
Number of CPU / node	1-4	1-4	1-4
Number of cores / node	32 – 56	32 – 56	32 – 56
Number of nodes	1-8	8 – 48	>48
Minimum Memory Configuration / node ³	300MB to 3GB	3GB to 30GB	More than 30GB (3KB per CFD node)
Storage (minimum)	500 GB SATA or SSD	1.5 TB local storage	1.5 TB local storage
Network Interconnect	Gigabit Ethernet Or Infiniband	Infiniband or Intel Omni-path	Infiniband or Intel Omni-path
Operating System	Linux kernel 2.6.32 or higher Windows 7 or SR2008	Linux kernel 2.6.32 or higher	Linux kernel 2.6.32 or higher
GPU	No	No	No
MPI	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher
Setup (2000-3000 computational nodes per core)	Pure OpenMP or Hybrid OpenMP/MPI	Hybrid OpenMP/MPI	Hybrid OpenMP/MPI
Hyper Threading	Not recommended	Not recommended	Not recommended

FEKO Solver

Problem Size	Small	Medium	Large
General recommendations given for MoM and MLFMM dependent on problem size in terms of number of unknowns / mesh elements. For other solution methods (FEM, FDTD, RL-GO, PO, UTD) many factors to be considered.	Pure MoM: less than 50k unknowns. MLFMM: between 100k and 500k unknowns	Pure MoM: between 50k and 100k unknowns. MLFMM: between 500k and 5M unknowns	Pure MoM: >100k unknowns MLFMM: >5M unknowns
Throughput ¹	Single job	Single large job or few jobs in parallel	Single very large job or multiple jobs
CPU ²	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”
Number of CPU / node	2	2	2
Number of cores / node	32 – 56	32 – 56	32 – 56
Number of nodes	1	8 – 16	> 16
Minimum Memory Configuration / node ³	64 GB	128 GB	256 GB
Storage (minimum)	500 GB SATA or SSD	500 GB SATA or SSD	500 GB SATA or SSD
Network Interconnect	Gigabit Ethernet	Infiniband or Intel Omni-path	Infiniband or Intel Omni-path
Operating System	Linux kernel 2.6.32 or higher Windows 7 or SR2008 or higher	Linux kernel 2.6.32 or higher	Linux kernel 2.6.32 or higher
GPU	Yes	No	No
MPI	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher
Setup	Pure MPI	Pure MPI	Pure MPI
Hyper Threading	Not recommended	Not recommended	Not recommended

Flux Solver

Problem type	Small	Medium	Large
Typical Workload (depending on number of DOF, element type, and other factors)	< 300 000 DOF	Around 500 000 DOF	Around 5M DOF
Throughput ¹	Single	Single	Single
CPU ²	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”
Number of CPU / node	1	2	2
Number of cores / node	8	16	16+
Number of nodes	1	1	1-4
Minimum Memory Configuration / node ³	8 GB	16-32 GB	300GB
Storage (minimum)	500 GB SATA or SSD	1 TB local storage SSD	1.5 TB local storage SSD
Network Interconnect			Infiniband or Intel Omni-path
Operating System	Linux kernel 2.6.32 or higher Windows 7 or SR2008 with SSD	Linux kernel 2.6.32 or higher Windows 7 or SR2008 with SSD	Linux kernel 2.6.32 or higher Windows 7 or SR2008 with SSD
GPU	No	No	No
MPI	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher
Setup	SMP	SMP or Hybrid 2MPI/node	SMP or Hybrid 2MPI/node
Hyper Threading	Not recommended	Not recommended	Not recommended

RADIOSS Solver

Problem Size	Small	Medium	Large
Typical Workload Crash & Impact	Component tests, sled test, drop test, … Less than 500K elements	Medium crash model, between 1 and 3 millions of elements model	Accurate car crash model (rupture), very large model with size > 3 million elements
Throughput ¹	Single job	Single large job or few jobs in parallel	Single very large job or multiple jobs
CPU ²	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”
Number of CPU / node	2	2	2
Number of cores / node	32 – 56	32 – 56	32 – 56
Number of nodes	1	8 – 16	> 16
Minimum Memory Configuration / node ³	64-128GB	64-128GB	64-128GB
Storage (minimum)	500 GB SATA or SSD	1,5 TB local storage	1,5 TB local storage
Network Interconnect	Gigabit Ethernet	Infiniband or Intel Omni-path	Infiniband or Intel Omni-path
Operating System	Linux kernel 2.6.32 or higher Windows 7 or SR2008	Linux kernel 2.6.32 or higher	Linux kernel 2.6.32 or higher
GPU	No	No	No
MPI	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher
Setup	Pure MPI	Pure MPI or Hybrid moderate (4/8 MPI per node) ⁴	Hybrid 2 MPI per node
Hyper Threading ⁵	Yes, Hybrid with 2 OpenMP per MPI	Not recommended	Not recommended

OptiStruct Solver

Problem type	Small or medium	Large static	Large dynamic
Typical Workload (depending on number of DOF, element type, and other factors)	Nonlinear - less than 2M DOF; linear static - less than 5M DOF; NVH - less than 5M DOF	Nonlinear - more than 2M DOF; linear static - more than 5M DOF	NVH - more than 5M DOF
Throughput ¹	Single	Single	Single or few jobs in parallel
CPU ²	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”	Dual CPU socket For example, Intel Xeon Scalable Processor “Skylake” or E5-26xx v4 “Broadwell”
Number of CPU / node	2	2	2
Number of cores / node	8-24	24+	24+
Number of nodes	1	1-8	1-8
Minimum Memory Configuration / node ³	16-64GB	128GB	256GB
Storage (minimum)	512GB local storage	1TB local storage	3 TB local storage, SSD and RAID0 recommended
Network Interconnect		InfiniBand or Intel Omni-path	InfiniBand or Intel Omni-path
Operating System	Linux kernel 2.6.32 or higher Windows 7 or SR2008 with SSD	Linux kernel 2.6.32 or higher Windows 7 or SR2008 with SSD	Linux kernel 2.6.32 or higher Windows 7 or SR2008 with SSD
GPU	No	No	No
MPI	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher	Intel MPI 2017.2 or higher
Setup	SMP or DDM hybrid	DDM hybrid	SMP or DDM hybrid
Hyper Threading	Not recommended	Not recommended	Not recommended

Supported Tesla Radioss/OptiStruct GPU Computing Processor List

Supported Tesla graphic boards for use with the HyperWorks solvers for high-powered GPU computing.

This includes HyperWorks OptiStruct direct solver and Radioss implicit iterative solver computations.

Note: Linux platforms and non-SPMD for OptiStruct is only supported in 2017.

Manufacturer	Adapter Type	Driver Version (Minimum or Higher)
NVIDIA (Tesla C-Class series)	C2050 C2070 C2075 C2090	Linux (64-bit) 352.70
NVIDIA (Tesla M-Class series)	M2050 M2070 M2070-Q M2075 M2090	Linux (64-bit) 352.79
NVIDIA (Tesla K-Class series)	K10 K20 K20X K40 K80	Linux (64-bit) 352.70

Manufacturer

Adapter Type

Driver Version

(Minimum or Higher)

NVIDIA

(Tesla C-Class series)

C2050

C2070

C2075

C2090

Linux (64-bit)

352.70

NVIDIA

(Tesla M-Class series)

M2050

M2070

M2070-Q

M2075

M2090

Linux (64-bit)

352.79

NVIDIA

(Tesla K-Class series)

K10

K20

K20X

K40

K80

Linux (64-bit)

352.70

Note: Please note that the most recent vendor/manufacturer drivers should be used and all driver support for these cards should be addressed to the appropriate manufacturer of the graphics board.

Additional Information on Driver Installations

The NVIDIA Driver Update recommendation is to use the Custom installation option and select the Perform clean installation option to validate that there are no conflicts in DLL/drivers.

The same should be done with AMD hardware and drivers as well using AMD’s custom uninstall tools.

¹ Number of simultaneous jobs. Use of a workload management middleware like Altair PBS is highly recommended to insure optimal and dedicated usage of the CPU resource

² Typical node configuration is based on dual CPU socket processors

³ It is extremely important to populate all the memory banks on the mother board.

⁴ In Hybrid mode, it is recommended to set a number of MPIs that is a multiple of the number of sockets and then set the number of OpenMP in a way that number of MPIs x number of OpenMP equal number of physical cores.

⁵ Hyper Threading (HT) may increase performance by around 10% on single node. In this case, recommended setup is to run 2 OpenMP per MPI, with a number of MPIs that matches the total number of physical cores on the node. On multi-node, it is better not using HT