HPC Introduction - Revision history

Emilie Nielsen: /* Introduction */

2026-04-10T02:05:29Z

Introduction

← Older revision		Revision as of 12:05, 10 April 2026
Line 1:		Line 1:

	=Introduction=		=Introduction=
	Since the 2017-09-AA version, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. TUFLOW Classic is limited to running a simulation on a single CPU core, whereas HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>		Since the 2017-09-AA version, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic.

			TUFLOW HPC is now industry standard. While TUFLOW Classic is still supported, it is recommended to use TUFLOW HPC.

			TUFLOW Classic is limited to running a simulation on a single CPU core, whereas HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>

	In general, most of the functionality and features of TUFLOW Classic are available in HPC. Additionally, HPC offers several advanced features not supported in Classic, including:		In general, most of the functionality and features of TUFLOW Classic are available in HPC. Additionally, HPC offers several advanced features not supported in Classic, including:

Emilie Nielsen: /* Introduction */

2026-04-09T23:41:41Z

Introduction

← Older revision		Revision as of 09:41, 10 April 2026
Line 1:		Line 1:

	=Introduction=		=Introduction=
	As ~~of TUFLOW build~~ 2017-09-AA, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. ~~Whereas~~ TUFLOW Classic is limited to running a simulation on a single CPU core, HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>		Since the 2017-09-AA version, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. TUFLOW Classic is limited to running a simulation on a single CPU core, whereas HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>

	In general, most of the functionality and features of TUFLOW Classic are available in HPC. Additionally, HPC offers several advanced features not supported in Classic, including:		In general, most of the functionality and features of TUFLOW Classic are available in HPC. Additionally, HPC offers several advanced features not supported in Classic, including:

Anne.Kolega: /* Solution Scheme, Cell Discretisation and Parallelisation */ e.g.

2026-04-01T22:15:34Z

Solution Scheme, Cell Discretisation and Parallelisation: e.g.

← Older revision		Revision as of 08:15, 2 April 2026
Line 23:		Line 23:
	* Represent where the momentum equation terms are centred and where upstream controlled flow regimes are applied;		* Represent where the momentum equation terms are centred and where upstream controlled flow regimes are applied;
	* Deactivate if the cell has dried (based on the ZC point) and cannot flow; and		* Deactivate if the cell has dried (based on the ZC point) and cannot flow; and
	* Wet and dry independently of the cell wetting or drying (see Cell Wet/Dry Depth). This allows for the modelling of “thin” obstructions such as fences and thin embankments relative to the cell size (eg. a concrete levee).		* Wet and dry independently of the cell wetting or drying (see Cell Wet/Dry Depth). This allows for the modelling of “thin” obstructions such as fences and thin embankments relative to the cell size (e.g. a concrete levee).
	ZH points:		ZH points:
	* Play no role hydraulically. This point location is used for output processing;		* Play no role hydraulically. This point location is used for output processing;

Anne.Kolega: /* Solution Scheme, Cell Discretisation and Parallelisation */

2026-03-10T01:25:53Z

Solution Scheme, Cell Discretisation and Parallelisation

← Older revision		Revision as of 11:25, 10 March 2026
Line 26:		Line 26:
	ZH points:		ZH points:
	* Play no role hydraulically. This point location is used for output processing;		* Play no role hydraulically. This point location is used for output processing;
	* The only elevations written to the ~~SMS~~ .2dm mesh file (by default, binary output is interpolated/extrapolated to the cell corners).		* The only elevations written to the .2dm mesh file (by default, binary output is interpolated/extrapolated to the cell corners).

	Within the above sub-grid framework, using TUFLOW HPC time derivatives of cell averaged water depth, u-velocity and v-velocity are computed on a cell-by-cell basis and the model evolved using an explicit ODE solver. Calculation of the cell based derivatives are highly independent of each other making it possible to run this solution scheme across multiple processors or GPU cards. Parallelisation is done by breaking up the model into vertical ribbons. Each ribbon of the model is run on a different processor (or GPU card) with boundary information shared between processors at each timestep.<br>		Within the above sub-grid framework, using TUFLOW HPC time derivatives of cell averaged water depth, u-velocity and v-velocity are computed on a cell-by-cell basis and the model evolved using an explicit ODE solver. Calculation of the cell based derivatives are highly independent of each other making it possible to run this solution scheme across multiple processors or GPU cards. Parallelisation is done by breaking up the model into vertical ribbons. Each ribbon of the model is run on a different processor (or GPU card) with boundary information shared between processors at each timestep.<br>

Anne.Kolega: /* Introduction */

2026-03-10T00:43:27Z

Introduction

← Older revision		Revision as of 10:43, 10 March 2026
Line 8:		Line 8:
	* Groundwater infiltration and sub-surface flows		* Groundwater infiltration and sub-surface flows
	* Wu turbulence formulation		* Wu turbulence formulation
	* TMR bridge inputs (2d_bg)		* TMR bridge inputs (2d_bg) and simulation methods

	===Solution Scheme, Cell Discretisation and Parallelisation===		===Solution Scheme, Cell Discretisation and Parallelisation===

Pavlina Monhartova: /* Benefits of HPC */

2026-03-06T00:39:12Z

Benefits of HPC

← Older revision		Revision as of 10:39, 6 March 2026
Line 57:		Line 57:
	* Long-term water resource management modelling		* Long-term water resource management modelling

	The unconditional stability and higher order accuracy of TUFLOW HPC also lends itself well to highly transient situations, such as dam break assessments, where other solvers would either become unstable, lose accuracy or experience impractical simulation slow-down due to the need to solve at an extremely small timestep.		The unconditional stability and higher order accuracy of TUFLOW HPC also lends itself well to highly transient situations, such as dam break assessments, where other solvers would either become unstable, lose accuracy or experience impractical simulation slow-down due to the need to solve at an extremely small timestep.<br>
	<br>		<br>
	{{Tips Navigation		{{Tips Navigation

Abigail.lillo at 00:52, 29 January 2024

2024-01-29T00:52:19Z

← Older revision		Revision as of 10:52, 29 January 2024
Line 3:		Line 3:
	As of TUFLOW build 2017-09-AA, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. Whereas TUFLOW Classic is limited to running a simulation on a single CPU core, HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>		As of TUFLOW build 2017-09-AA, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. Whereas TUFLOW Classic is limited to running a simulation on a single CPU core, HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>

	In general most of the functionality and features of TUFLOW Classic are available in HPC, ~~with~~ ~~more~~ of ~~these~~ features ~~becoming~~ ~~available to HPC~~ in ~~due time. To find out more about what TUFLOW~~ Classic ~~features aren’t included in the latest TUFLOW HPC build you can reference the <u>[[HPC_Features \| HPC Features]]</u> page or the <u>[https~~:~~//tuflow.com/Download/TUFLOW/Releases/2017-09/TUFLOW%20Release%20Notes.2017-09.pdf TUFLOW 2017-09 Release Notes]</u>. <br>~~		In general, most of the functionality and features of TUFLOW Classic are available in HPC. Additionally, HPC offers several advanced features not supported in Classic, including:
			* Quadtree and sub-grid sampling
			* High resolution map output grids
			* Groundwater infiltration and sub-surface flows
			* Wu turbulence formulation
			* TMR bridge inputs (2d_bg)

	===Solution Scheme, Cell Discretisation and Parallelisation===		===Solution Scheme, Cell Discretisation and Parallelisation===

Chris Huxley: /* Benefits of HPC */

2022-05-30T05:29:54Z

Benefits of HPC

← Older revision		Revision as of 15:29, 30 May 2022
Line 53:		Line 53:

	The unconditional stability and higher order accuracy of TUFLOW HPC also lends itself well to highly transient situations, such as dam break assessments, where other solvers would either become unstable, lose accuracy or experience impractical simulation slow-down due to the need to solve at an extremely small timestep.		The unconditional stability and higher order accuracy of TUFLOW HPC also lends itself well to highly transient situations, such as dam break assessments, where other solvers would either become unstable, lose accuracy or experience impractical simulation slow-down due to the need to solve at an extremely small timestep.

	<br>
	<br>		<br>
	{{Tips Navigation		{{Tips Navigation

Chris Huxley at 05:29, 30 May 2022

2022-05-30T05:29:37Z

← Older revision		Revision as of 15:29, 30 May 2022
Line 53:		Line 53:

	The unconditional stability and higher order accuracy of TUFLOW HPC also lends itself well to highly transient situations, such as dam break assessments, where other solvers would either become unstable, lose accuracy or experience impractical simulation slow-down due to the need to solve at an extremely small timestep.		The unconditional stability and higher order accuracy of TUFLOW HPC also lends itself well to highly transient situations, such as dam break assessments, where other solvers would either become unstable, lose accuracy or experience impractical simulation slow-down due to the need to solve at an extremely small timestep.

			<br>
			<br>
			{{Tips Navigation
			\|uplink=[[ HPC_Modelling_Guidance \| Back to HPC Modelling Guidance]]
			}}

Stephen.kime at 12:44, 24 July 2018

2018-07-24T12:44:49Z

← Older revision		Revision as of 22:44, 24 July 2018
Line 1:		Line 1:

	=Introduction=		=Introduction=
	As of TUFLOW build 2017-09-AA, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. Whereas TUFLOW Classic is limited to running a simulation on a single CPU core, HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU ~~hardwareshown~~ to provide significantly quicker model run times for TUFLOW users.<br>		As of TUFLOW build 2017-09-AA, TUFLOW offers HPC (Heavily Parallelised Compute) as an alternate 2D Shallow Water Equation (SWE) solver to TUFLOW Classic. Whereas TUFLOW Classic is limited to running a simulation on a single CPU core, HPC provides parallelisation of the TUFLOW model allowing modellers to run a single TUFLOW model across multiple CPU cores or GPU graphics cards (which utilise thousands of smaller CUDA* cores). Simulations using GPU hardware has shown to provide significantly quicker model run times for TUFLOW users.<br>

	In general most of the functionality and features of TUFLOW Classic are available in HPC, with more of these features becoming available to HPC in due time. To find out more about what TUFLOW Classic features aren’t included in the latest TUFLOW HPC build you can reference the <u>[[HPC_Features \| HPC Features]]</u> page or the <u>[https://tuflow.com/Download/TUFLOW/Releases/2017-09/TUFLOW%20Release%20Notes.2017-09.pdf TUFLOW 2017-09 Release Notes]</u>. <br>		In general most of the functionality and features of TUFLOW Classic are available in HPC, with more of these features becoming available to HPC in due time. To find out more about what TUFLOW Classic features aren’t included in the latest TUFLOW HPC build you can reference the <u>[[HPC_Features \| HPC Features]]</u> page or the <u>[https://tuflow.com/Download/TUFLOW/Releases/2017-09/TUFLOW%20Release%20Notes.2017-09.pdf TUFLOW 2017-09 Release Notes]</u>. <br>