Hardware Benchmarking - Revision history

Pavlina Monhartova: /* Introduction */

2025-12-10T04:59:28Z

Introduction

← Older revision		Revision as of 14:59, 10 December 2025
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	=Introduction=		=Introduction=
	We frequently get asked, "What is the minimum or recommended hardware to use for TUFLOW modelling". This is always a tricky question, as the answer depends on the type and size of the models you are going to run. For a small model, TUFLOW should run on any modern PC or laptop that is capable of running Windows XP or later. However, for large models there may be requirements for a hefty computer.<br>		We frequently get asked, "What is the minimum or recommended hardware to use for TUFLOW modelling". This is always a tricky question, as the answer depends on the type and size of the models you are going to run. For a small model, TUFLOW should run on any modern PC or laptop that is capable of running Windows XP or later. However, for large models there may be requirements for a hefty computer.<br>

	The tables below showing computer specifications and model run-time should help you compare systems. <br>		The tables below showing computer specifications and model run-time should help you compare systems. <br>

	In this page we outline a hardware benchmark model which ~~is available to download from <u>[https://downloads.tuflow.com/_archive/TUFLOW/Benchmark_Models/FMA2_GPU_CPU_Benchmark.zip FMA2_GPU_CPU_Benchmark.zip]</u> the model~~ can be simulated without a TUFLOW dongle (license). This makes it easy to benchmark on a range of computers and the results are compiled below.<br>		In this page we outline a hardware benchmark model which can be simulated without a TUFLOW dongle (license). This makes it easy to benchmark on a range of computers and the results are compiled below.<br>

	We have typically found that for TUFLOW Classic, the CPU speed is the largest influence on TUFLOW runtimes, with the RAM speed also having an influence for large models. When using GPU hardware (available for TUFLOW HPC), the Graphics Card has the largest influence, specifically the number and speed of the CUDA cores. In order to quantify this we are compiling the computational times required for a range of different machines.		We have typically found that for TUFLOW Classic, the CPU speed is the largest influence on TUFLOW runtimes, with the RAM speed also having an influence for large models. When using GPU hardware (available for TUFLOW HPC), the Graphics Card has the largest influence, specifically the number and speed of the CUDA cores. In order to quantify this we are compiling the computational times required for a range of different machines.

Pavlina Monhartova: /* To Participate */

2025-12-10T04:57:47Z

To Participate

← Older revision		Revision as of 14:57, 10 December 2025
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	<li> Email the _ TUFLOW Simulations.log, cpu.txt, ram.txt and GPU.txt files to [mailto:support@tuflow.com support@tuflow.com] and we will includes these in the results tables below.<br>		<li> Email the _ TUFLOW Simulations.log, cpu.txt, ram.txt and GPU.txt files to [mailto:support@tuflow.com support@tuflow.com] and we will includes these in the results tables below.<br>
	</ol>		</ol>
		⚫	'''Note''': An NVIDIA graphics card that is CUDA compatible is required to run the GPU model. <br>
	The computer information is determined in the batch file using the '''wmic''' and '''dxdiag''' commands.<br><br>
⚫	'''Note''' An NVIDIA graphics card that is CUDA compatible is required to run the GPU model. <br>
	<br>		<br>

Pavlina Monhartova: /* To Participate */

2025-12-10T04:52:25Z

To Participate

← Older revision		Revision as of 14:52, 10 December 2025
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	To participate in the benchmark, please follow the steps below:		To participate in the benchmark, please follow the steps below:
	<ol>		<ol>
	<li> Download the model from <u>[https://downloads.tuflow.com~~/_archive~~/TUFLOW/~~Benchmark_Models~~/FMA2_GPU_CPU_Benchmark.zip FMA2_GPU_CPU_Benchmark.zip]</u>.		<li> Download the model from <u>[https://downloads.tuflow.com/TUFLOW/Wiki_Benchmark_Model/FMA2_GPU_CPU_Benchmark.zip FMA2_GPU_CPU_Benchmark.zip]</u>.
	<li> Extract the model on a local drive of the computer you would like to benchmark.		<li> Extract the model on a local drive of the computer you would like to benchmark.
	<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.		<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.

Pavlina Monhartova: /* List of Benchmarking Runtimes and Discussions */

2025-07-24T06:23:26Z

List of Benchmarking Runtimes and Discussions

← Older revision		Revision as of 16:23, 24 July 2025
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	*[[Hardware_Benchmarking_Topic_Single_Precision_VS_Double_Precision \| Single Precision Vs Double Precision]]		*[[Hardware_Benchmarking_Topic_Single_Precision_VS_Double_Precision \| Single Precision Vs Double Precision]]
	*[[ Hardware Selection Advice]]		*[[ Hardware Selection Advice]]

	==Previous Benchmarking Runtimes (2013-12-AD)==
	* [[Hardware_Benchmarking \| Previous Computer Hardware Speed Benchmarks Archive]]
	*[[Hardware_Benchmarking#CPU_Results \| Previous CPU Results]]
	*[[Hardware_Benchmarking#GPU_Results \| Previous GPU solver results]]

	==Hardware Selection Advice==		==Hardware Selection Advice==

Chris Huxley: Chris Huxley moved page Hardware Benchmarking (2018-03-AA) to Hardware Benchmarking

2025-06-18T03:47:08Z

Chris Huxley moved page Hardware Benchmarking (2018-03-AA) to Hardware Benchmarking

← Older revision		Revision as of 13:47, 18 June 2025
(No difference)

Emilie Nielsen: /* To Participate */

2025-02-20T06:27:03Z

To Participate

← Older revision		Revision as of 16:27, 20 February 2025
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	<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.		<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.
	<li> If you have a high performance GPU Card you can also run the '''Run_Benchmark_HighPerformance_GPU.bat'''.		<li> If you have a high performance GPU Card you can also run the '''Run_Benchmark_HighPerformance_GPU.bat'''.
	<li> Email the _ TUFLOW Simulations.log, cpu.txt, ram.txt and GPU.txt files to support@tuflow.com and we will includes these in the results tables below.<br>		<li> Email the _ TUFLOW Simulations.log, cpu.txt, ram.txt and GPU.txt files to [mailto:support@tuflow.com support@tuflow.com] and we will includes these in the results tables below.<br>
	</ol>		</ol>
	The computer information is determined in the batch file using the '''wmic''' and '''dxdiag''' commands.<br><br>		The computer information is determined in the batch file using the '''wmic''' and '''dxdiag''' commands.<br><br>

Pavlina Monhartova at 06:21, 29 July 2024

2024-07-29T06:21:46Z

← Older revision		Revision as of 16:21, 29 July 2024
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	To participate in the benchmark, please follow the steps below:		To participate in the benchmark, please follow the steps below:
	<ol>		<ol>
	<li> Download the model from https://~~www~~.tuflow.com/~~Download~~/TUFLOW/Benchmark_Models/FMA2_GPU_CPU_Benchmark.zip		<li> Download the model from <u>[https://downloads.tuflow.com/_archive/TUFLOW/Benchmark_Models/FMA2_GPU_CPU_Benchmark.zip FMA2_GPU_CPU_Benchmark.zip]</u>.
	<li> Extract the model on a local drive of the computer you would like to benchmark.		<li> Extract the model on a local drive of the computer you would like to benchmark.
	<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.		<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.

Emilie Nielsen at 02:08, 19 July 2024

2024-07-19T02:08:42Z

← Older revision		Revision as of 12:08, 19 July 2024
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	The tables below showing computer specifications and model run-time should help you compare systems. <br>		The tables below showing computer specifications and model run-time should help you compare systems. <br>

	In this page we outline a hardware benchmark model which is available to download from <u>[https://~~www~~.tuflow.com/~~Download~~/TUFLOW/Benchmark_Models/FMA2_GPU_CPU_Benchmark.zip FMA2_GPU_CPU_Benchmark.zip]</u> the model can be simulated without a TUFLOW dongle (license). This makes it easy to benchmark on a range of computers and the results are compiled below.<br>		In this page we outline a hardware benchmark model which is available to download from <u>[https://downloads.tuflow.com/_archive/TUFLOW/Benchmark_Models/FMA2_GPU_CPU_Benchmark.zip FMA2_GPU_CPU_Benchmark.zip]</u> the model can be simulated without a TUFLOW dongle (license). This makes it easy to benchmark on a range of computers and the results are compiled below.<br>

	We have typically found that for TUFLOW Classic, the CPU speed is the largest influence on TUFLOW runtimes, with the RAM speed also having an influence for large models. When using GPU hardware (available for TUFLOW HPC), the Graphics Card has the largest influence, specifically the number and speed of the CUDA cores. In order to quantify this we are compiling the computational times required for a range of different machines.		We have typically found that for TUFLOW Classic, the CPU speed is the largest influence on TUFLOW runtimes, with the RAM speed also having an influence for large models. When using GPU hardware (available for TUFLOW HPC), the Graphics Card has the largest influence, specifically the number and speed of the CUDA cores. In order to quantify this we are compiling the computational times required for a range of different machines.

ElizaCollison: /* Discussion Topics */

2024-03-15T15:39:36Z

Discussion Topics

← Older revision		Revision as of 01:39, 16 March 2024
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	==Discussion Topics==		==Discussion Topics==
	*[[Hardware_Benchmarking_Topic_HPC_on_CPU_vs_GPU \| HPC (CPU) vs. HPC (GPU)]]		*[[Hardware_Benchmarking_Topic_HPC_on_CPU_vs_GPU \| HPC (CPU) vs. HPC (GPU)]]
	*[[Hardware_Benchmarking_Topic_HPC_CPU_Scaling \| HPC (CPU) Scaling and Hyperthreading (Coming soon)]]
	*[[Hardware_Benchmarking_Topic_Single_Precision_VS_Double_Precision \| Single Precision Vs Double Precision]]		*[[Hardware_Benchmarking_Topic_Single_Precision_VS_Double_Precision \| Single Precision Vs Double Precision]]
	*[[ Hardware Selection Advice]]		*[[ Hardware Selection Advice]]

ElizaCollison: /* Discussion Topics */

2024-03-15T15:39:17Z

Discussion Topics

← Older revision		Revision as of 01:39, 16 March 2024
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	==Discussion Topics==		==Discussion Topics==
	*[[Hardware_Benchmarking_Topic_Classic_vs_HPC \| Classic vs. HPC (Coming Soon)]] (notes: direct rainfall, dam break, runtimes)
	*[[Hardware_Benchmarking_Topic_HPC_on_CPU_vs_GPU \| HPC (CPU) vs. HPC (GPU)]]		*[[Hardware_Benchmarking_Topic_HPC_on_CPU_vs_GPU \| HPC (CPU) vs. HPC (GPU)]]
	*[[Hardware_Benchmarking_Topic_HPC_CPU_Scaling \| HPC (CPU) Scaling and Hyperthreading (Coming soon)]]		*[[Hardware_Benchmarking_Topic_HPC_CPU_Scaling \| HPC (CPU) Scaling and Hyperthreading (Coming soon)]]