#include <backendBase.h>

Inheritance diagram for CodeGenerator::BackendBase:

Classes
struct	ReductionTarget
	Simple struct to hold reduction targets. More...

Public Types
typedef std::function< void(CodeStream &)>	HostHandler

typedef std::function< void(CodeStream &, Substitutions &)>	Handler

template<typename T >
using	GroupHandler = std::function< void(CodeStream &, const T &, Substitutions &)>

typedef std::vector< std::pair< std::string, size_t > >	MemorySpaces
	Vector of prefixes required to allocate in memory space and size of memory space. More...

Public Member Functions
	BackendBase (const std::string &scalarType, const PreferencesBase &preferences)

virtual	~BackendBase ()

virtual void	genNeuronUpdate (CodeStream &os, const ModelSpecMerged &modelMerged, HostHandler preambleHandler, HostHandler pushEGPHandler) const =0
	Generate platform-specific function to update the state of all neurons. More...

virtual void	genSynapseUpdate (CodeStream &os, const ModelSpecMerged &modelMerged, HostHandler preambleHandler, HostHandler pushEGPHandler) const =0
	Generate platform-specific function to update the state of all synapses. More...

virtual void	genCustomUpdate (CodeStream &os, const ModelSpecMerged &modelMerged, HostHandler preambleHandler, HostHandler pushEGPHandler) const =0
	Generate platform-specific functions to perform custom updates. More...

virtual void	genInit (CodeStream &os, const ModelSpecMerged &modelMerged, HostHandler preambleHandler, HostHandler initPushEGPHandler, HostHandler initSparsePushEGPHandler) const =0
	Generate platform-specific function to initialise model. More...

virtual size_t	getSynapticMatrixRowStride (const SynapseGroupInternal &sg) const =0
	Gets the stride used to access synaptic matrix rows, taking into account sparse data structure, padding etc. More...

virtual void	genDefinitionsPreamble (CodeStream &os, const ModelSpecMerged &modelMerged) const =0
	Definitions is the usercode-facing header file for the generated code. This function generates a 'preamble' to this header file. More...

virtual void	genDefinitionsInternalPreamble (CodeStream &os, const ModelSpecMerged &modelMerged) const =0
	Definitions internal is the internal header file for the generated code. This function generates a 'preamble' to this header file. More...

virtual void	genRunnerPreamble (CodeStream &os, const ModelSpecMerged &modelMerged, const MemAlloc &memAlloc) const =0

virtual void	genAllocateMemPreamble (CodeStream &os, const ModelSpecMerged &modelMerged, const MemAlloc &memAlloc) const =0

virtual void	genFreeMemPreamble (CodeStream &os, const ModelSpecMerged &modelMerged) const =0

virtual void	genStepTimeFinalisePreamble (CodeStream &os, const ModelSpecMerged &modelMerged) const =0
	After all timestep logic is complete. More...

virtual void	genVariableDefinition (CodeStream &definitions, CodeStream &definitionsInternal, const std::string &type, const std::string &name, VarLocation loc) const =0

virtual void	genVariableImplementation (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc) const =0

virtual void	genVariableAllocation (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc, size_t count, MemAlloc &memAlloc) const =0

virtual void	genVariableFree (CodeStream &os, const std::string &name, VarLocation loc) const =0

virtual void	genExtraGlobalParamDefinition (CodeStream &definitions, CodeStream &definitionsInternal, const std::string &type, const std::string &name, VarLocation loc) const =0

virtual void	genExtraGlobalParamImplementation (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc) const =0

virtual void	genExtraGlobalParamAllocation (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc, const std::string &countVarName="count", const std::string &prefix="") const =0

virtual void	genExtraGlobalParamPush (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc, const std::string &countVarName="count", const std::string &prefix="") const =0

virtual void	genExtraGlobalParamPull (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc, const std::string &countVarName="count", const std::string &prefix="") const =0

virtual void	genMergedExtraGlobalParamPush (CodeStream &os, const std::string &suffix, size_t mergedGroupIdx, const std::string &groupIdx, const std::string &fieldName, const std::string &egpName) const =0
	Generate code for pushing an updated EGP value into the merged group structure on 'device'. More...

virtual std::string	getMergedGroupFieldHostType (const std::string &type) const =0
	When generating function calls to push to merged groups, backend without equivalent of Unified Virtual Addressing e.g. OpenCL 1.2 may use different types on host. More...

virtual std::string	getMergedGroupSimRNGType () const =0
	When generating merged structures what type to use for simulation RNGs. More...

virtual void	genPopVariableInit (CodeStream &os, const Substitutions &kernelSubs, Handler handler) const =0

virtual void	genVariableInit (CodeStream &os, const std::string &count, const std::string &indexVarName, const Substitutions &kernelSubs, Handler handler) const =0

virtual void	genSparseSynapseVariableRowInit (CodeStream &os, const Substitutions &kernelSubs, Handler handler) const =0

virtual void	genDenseSynapseVariableRowInit (CodeStream &os, const Substitutions &kernelSubs, Handler handler) const =0

virtual void	genKernelSynapseVariableInit (CodeStream &os, const SynapseInitGroupMerged &sg, const Substitutions &kernelSubs, Handler handler) const =0

virtual void	genKernelCustomUpdateVariableInit (CodeStream &os, const CustomWUUpdateInitGroupMerged &cu, const Substitutions &kernelSubs, Handler handler) const =0

virtual void	genVariablePush (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc, bool autoInitialized, size_t count) const =0
	Generate code for pushing a variable to the 'device'. More...

virtual void	genVariablePull (CodeStream &os, const std::string &type, const std::string &name, VarLocation loc, size_t count) const =0
	Generate code for pulling a variable from the 'device'. More...

virtual void	genCurrentVariablePush (CodeStream &os, const NeuronGroupInternal &ng, const std::string &type, const std::string &name, VarLocation loc, unsigned int batchSize) const =0
	Generate code for pushing a variable's value in the current timestep to the 'device'. More...

virtual void	genCurrentVariablePull (CodeStream &os, const NeuronGroupInternal &ng, const std::string &type, const std::string &name, VarLocation loc, unsigned int batchSize) const =0
	Generate code for pulling a variable's value in the current timestep from the 'device'. More...

virtual void	genCurrentTrueSpikePush (CodeStream &os, const NeuronGroupInternal &ng, unsigned int batchSize) const =0
	Generate code for pushing true spikes emitted by a neuron group in the current timestep to the 'device'. More...

virtual void	genCurrentTrueSpikePull (CodeStream &os, const NeuronGroupInternal &ng, unsigned int batchSize) const =0
	Generate code for pulling true spikes emitted by a neuron group in the current timestep from the 'device'. More...

virtual void	genCurrentSpikeLikeEventPush (CodeStream &os, const NeuronGroupInternal &ng, unsigned int batchSize) const =0
	Generate code for pushing spike-like events emitted by a neuron group in the current timestep to the 'device'. More...

virtual void	genCurrentSpikeLikeEventPull (CodeStream &os, const NeuronGroupInternal &ng, unsigned int batchSize) const =0
	Generate code for pulling spike-like events emitted by a neuron group in the current timestep from the 'device'. More...

virtual void	genGlobalDeviceRNG (CodeStream &definitions, CodeStream &definitionsInternal, CodeStream &runner, CodeStream &allocations, CodeStream &free, MemAlloc &memAlloc) const =0
	Generate a single RNG instance. More...

virtual void	genPopulationRNG (CodeStream &definitions, CodeStream &definitionsInternal, CodeStream &runner, CodeStream &allocations, CodeStream &free, const std::string &name, size_t count, MemAlloc &memAlloc) const =0
	Generate an RNG with a state per population member. More...

virtual void	genTimer (CodeStream &definitions, CodeStream &definitionsInternal, CodeStream &runner, CodeStream &allocations, CodeStream &free, CodeStream &stepTimeFinalise, const std::string &name, bool updateInStepTime) const =0

virtual void	genReturnFreeDeviceMemoryBytes (CodeStream &os) const =0
	Generate code to return amount of free 'device' memory in bytes. More...

virtual void	genMakefilePreamble (std::ostream &os) const =0
	This function can be used to generate a preamble for the GNU makefile used to build. More...

virtual void	genMakefileLinkRule (std::ostream &os) const =0

virtual void	genMakefileCompileRule (std::ostream &os) const =0

virtual void	genMSBuildConfigProperties (std::ostream &os) const =0

virtual void	genMSBuildImportProps (std::ostream &os) const =0

virtual void	genMSBuildItemDefinitions (std::ostream &os) const =0

virtual void	genMSBuildCompileModule (const std::string &moduleName, std::ostream &os) const =0

virtual void	genMSBuildImportTarget (std::ostream &os) const =0

virtual std::string	getAllocateMemParams (const ModelSpecMerged &) const
	Get backend-specific allocate memory parameters. More...

virtual std::vector< filesystem::path >	getFilesToCopy (const ModelSpecMerged &) const
	Get list of files to copy into generated code. More...

virtual std::string	getDeviceVarPrefix () const

virtual std::string	getHostVarPrefix () const

virtual std::string	getPointerPrefix () const
	Different backends may have different or no pointer prefix (e.g. __global for OpenCL) More...

virtual bool	isDeviceScalarRequired () const =0
	Should 'scalar' variables be implemented on device or can host variables be used directly? More...

virtual bool	isGlobalHostRNGRequired (const ModelSpecMerged &modelMerged) const =0
	Different backends use different RNGs for different things. Does this one require a global host RNG for the specified model? More...

virtual bool	isGlobalDeviceRNGRequired (const ModelSpecMerged &modelMerged) const =0
	Different backends use different RNGs for different things. Does this one require a global device RNG for the specified model? More...

virtual bool	isPopulationRNGRequired () const =0
	Different backends use different RNGs for different things. Does this one require population RNGs? More...

virtual bool	isPopulationRNGInitialisedOnDevice () const =0
	Different backends seed RNGs in different ways. Does this one initialise population RNGS on device? More...

virtual bool	isPostsynapticRemapRequired () const =0
	Different backends may implement synaptic plasticity differently. Does this one require a postsynaptic remapping data structure? More...

virtual bool	isHostReductionRequired () const =0
	Backends which support batch-parallelism might require an additional host reduction phase after reduction kernels. More...

virtual size_t	getDeviceMemoryBytes () const =0
	How many bytes of memory does 'device' have. More...

virtual MemorySpaces	getMergedGroupMemorySpaces (const ModelSpecMerged &modelMerged) const =0

virtual bool	supportsNamespace () const =0
	Does this backend support namespaces i.e. can C++ implementation of support functions be used. More...

virtual boost::uuids::detail::sha1::digest_type	getHashDigest () const =0
	Get hash digest of this backends identification and the preferences it has been configured with. More...

void	genVariablePushPull (CodeStream &push, CodeStream &pull, const std::string &type, const std::string &name, VarLocation loc, bool autoInitialized, size_t count) const
	Helper function to generate matching push and pull functions for a variable. More...

void	genCurrentVariablePushPull (CodeStream &push, CodeStream &pull, const NeuronGroupInternal &ng, const std::string &type, const std::string &name, VarLocation loc, unsigned int batchSize) const
	Helper function to generate matching push and pull functions for the current state of a variable. More...

void	genArray (CodeStream &definitions, CodeStream &definitionsInternal, CodeStream &runner, CodeStream &allocations, CodeStream &free, const std::string &type, const std::string &name, VarLocation loc, size_t count, MemAlloc &memAlloc) const
	Helper function to generate matching definition, declaration, allocation and free code for an array. More...

size_t	getSize (const std::string &type) const
	Get the size of the type. More...

std::string	getLowestValue (const std::string &type) const
	Get the lowest value of a type. More...

std::string	getScalarAddressPrefix () const
	Get the prefix for accessing the address of 'scalar' variables. More...

bool	areSixtyFourBitSynapseIndicesRequired (const SynapseGroupMergedBase &sg) const

const PreferencesBase &	getPreferences () const

template<typename T >
const T &	getPreferences () const

Protected Member Functions
void	addType (const std::string &type, size_t size, const std::string &lowestValue="")

void	setPointerBytes (size_t pointerBytes)

void	genNeuronIndexCalculation (CodeStream &os, const NeuronUpdateGroupMerged &ng, unsigned int batchSize) const

void	genSynapseIndexCalculation (CodeStream &os, const SynapseGroupMergedBase &sg, unsigned int batchSize) const

void	genCustomUpdateIndexCalculation (CodeStream &os, const CustomUpdateGroupMerged &cu) const

std::vector< ReductionTarget >	genInitReductionTargets (CodeStream &os, const CustomUpdateGroupMerged &cg, const std::string &idx="") const

std::vector< ReductionTarget >	genInitReductionTargets (CodeStream &os, const CustomUpdateWUGroupMerged &cg, const std::string &idx="") const

Member Typedef Documentation

◆ GroupHandler

template<typename T >

using CodeGenerator::BackendBase::GroupHandler = std::function <void(CodeStream &, const T &, Substitutions&)>

◆ Handler

typedef std::function<void(CodeStream &, Substitutions&)> CodeGenerator::BackendBase::Handler

◆ HostHandler

typedef std::function<void(CodeStream &)> CodeGenerator::BackendBase::HostHandler

◆ MemorySpaces

typedef std::vector<std::pair<std::string, size_t> > CodeGenerator::BackendBase::MemorySpaces

Vector of prefixes required to allocate in memory space and size of memory space.

Constructor & Destructor Documentation

◆ BackendBase()

CodeGenerator::BackendBase::BackendBase	(	const std::string &	scalarType,
		const PreferencesBase &	preferences
	)

◆ ~BackendBase()

virtual CodeGenerator::BackendBase::~BackendBase ( )

inlinevirtual

Member Function Documentation

◆ addType()

void CodeGenerator::BackendBase::addType	(	const std::string &	type,
		size_t	size,
		const std::string &	lowestValue = `""`
	)

inlineprotected

◆ areSixtyFourBitSynapseIndicesRequired()

bool CodeGenerator::BackendBase::areSixtyFourBitSynapseIndicesRequired ( const SynapseGroupMergedBase & sg ) const

◆ genAllocateMemPreamble()

virtual void CodeGenerator::BackendBase::genAllocateMemPreamble	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged,
		const MemAlloc &	memAlloc
	)		const

pure virtual

Allocate memory is the first function in GeNN generated code called by usercode and it should only ever be called once. Therefore it's a good place for any global initialisation. This function generates a 'preamble' to this function.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genArray()

void CodeGenerator::BackendBase::genArray	(	CodeStream &	definitions,
		CodeStream &	definitionsInternal,
		CodeStream &	runner,
		CodeStream &	allocations,
		CodeStream &	free,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		size_t	count,
		MemAlloc &	memAlloc
	)		const

inline

Helper function to generate matching definition, declaration, allocation and free code for an array.

◆ genCurrentSpikeLikeEventPull()

virtual void CodeGenerator::BackendBase::genCurrentSpikeLikeEventPull	(	CodeStream &	os,
		const NeuronGroupInternal &	ng,
		unsigned int	batchSize
	)		const

pure virtual

Generate code for pulling spike-like events emitted by a neuron group in the current timestep from the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCurrentSpikeLikeEventPush()

virtual void CodeGenerator::BackendBase::genCurrentSpikeLikeEventPush	(	CodeStream &	os,
		const NeuronGroupInternal &	ng,
		unsigned int	batchSize
	)		const

pure virtual

Generate code for pushing spike-like events emitted by a neuron group in the current timestep to the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCurrentTrueSpikePull()

virtual void CodeGenerator::BackendBase::genCurrentTrueSpikePull	(	CodeStream &	os,
		const NeuronGroupInternal &	ng,
		unsigned int	batchSize
	)		const

pure virtual

Generate code for pulling true spikes emitted by a neuron group in the current timestep from the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCurrentTrueSpikePush()

virtual void CodeGenerator::BackendBase::genCurrentTrueSpikePush	(	CodeStream &	os,
		const NeuronGroupInternal &	ng,
		unsigned int	batchSize
	)		const

pure virtual

Generate code for pushing true spikes emitted by a neuron group in the current timestep to the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCurrentVariablePull()

virtual void CodeGenerator::BackendBase::genCurrentVariablePull	(	CodeStream &	os,
		const NeuronGroupInternal &	ng,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		unsigned int	batchSize
	)		const

pure virtual

Generate code for pulling a variable's value in the current timestep from the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCurrentVariablePush()

virtual void CodeGenerator::BackendBase::genCurrentVariablePush	(	CodeStream &	os,
		const NeuronGroupInternal &	ng,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		unsigned int	batchSize
	)		const

pure virtual

Generate code for pushing a variable's value in the current timestep to the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCurrentVariablePushPull()

void CodeGenerator::BackendBase::genCurrentVariablePushPull	(	CodeStream &	push,
		CodeStream &	pull,
		const NeuronGroupInternal &	ng,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		unsigned int	batchSize
	)		const

inline

Helper function to generate matching push and pull functions for the current state of a variable.

◆ genCustomUpdate()

virtual void CodeGenerator::BackendBase::genCustomUpdate	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged,
		HostHandler	preambleHandler,
		HostHandler	pushEGPHandler
	)		const

pure virtual

Generate platform-specific functions to perform custom updates.

Parameters

os	CodeStream to write function to
modelMerged	merged model to generate code for
preambleHandler	callback to write functions for pushing extra-global parameters
pushEGPHandler	callback to write required extra-global parameter pushing code to start of customUpdate function

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genCustomUpdateIndexCalculation()

void CodeGenerator::BackendBase::genCustomUpdateIndexCalculation	(	CodeStream &	os,
		const CustomUpdateGroupMerged &	cu
	)		const

protected

◆ genDefinitionsInternalPreamble()

virtual void CodeGenerator::BackendBase::genDefinitionsInternalPreamble	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged
	)		const

pure virtual

Definitions internal is the internal header file for the generated code. This function generates a 'preamble' to this header file.

This will only be included by the platform-specific compiler used to build this backend so can include platform-specific types or headers

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genDefinitionsPreamble()

virtual void CodeGenerator::BackendBase::genDefinitionsPreamble	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged
	)		const

pure virtual

Definitions is the usercode-facing header file for the generated code. This function generates a 'preamble' to this header file.

This will be included from a standard C++ compiler so shouldn't include any platform-specific types or headers

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genDenseSynapseVariableRowInit()

virtual void CodeGenerator::BackendBase::genDenseSynapseVariableRowInit	(	CodeStream &	os,
		const Substitutions &	kernelSubs,
		Handler	handler
	)		const

pure virtual

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genExtraGlobalParamAllocation()

virtual void CodeGenerator::BackendBase::genExtraGlobalParamAllocation	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		const std::string &	countVarName = `"count"`,
		const std::string &	prefix = `""`
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genExtraGlobalParamDefinition()

virtual void CodeGenerator::BackendBase::genExtraGlobalParamDefinition	(	CodeStream &	definitions,
		CodeStream &	definitionsInternal,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genExtraGlobalParamImplementation()

virtual void CodeGenerator::BackendBase::genExtraGlobalParamImplementation	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genExtraGlobalParamPull()

virtual void CodeGenerator::BackendBase::genExtraGlobalParamPull	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		const std::string &	countVarName = `"count"`,
		const std::string &	prefix = `""`
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genExtraGlobalParamPush()

virtual void CodeGenerator::BackendBase::genExtraGlobalParamPush	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		const std::string &	countVarName = `"count"`,
		const std::string &	prefix = `""`
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genFreeMemPreamble()

virtual void CodeGenerator::BackendBase::genFreeMemPreamble	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged
	)		const

pure virtual

Free memory is called by usercode to free all memory allocatd by GeNN and should only ever be called once. This function generates a 'preamble' to this function, for example to free backend-specific objects

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genGlobalDeviceRNG()

virtual void CodeGenerator::BackendBase::genGlobalDeviceRNG	(	CodeStream &	definitions,
		CodeStream &	definitionsInternal,
		CodeStream &	runner,
		CodeStream &	allocations,
		CodeStream &	free,
		MemAlloc &	memAlloc
	)		const

pure virtual

Generate a single RNG instance.

On single-threaded platforms this can be a standard RNG like M.T. but, on parallel platforms, it is likely to be a counter-based RNG

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genInit()

virtual void CodeGenerator::BackendBase::genInit	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged,
		HostHandler	preambleHandler,
		HostHandler	initPushEGPHandler,
		HostHandler	initSparsePushEGPHandler
	)		const

pure virtual

Generate platform-specific function to initialise model.

Parameters

os	CodeStream to write function to
modelMerged	merged model to generate code for
preambleHandler	callback to write functions for pushing extra-global parameters
initPushEGPHandler	callback to write required extra-global parameter pushing code to start of initialize function
initSparsePushEGPHandler	callback to write required extra-global parameter pushing code to start of initializeSparse function

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genInitReductionTargets() [1/2]

std::vector< BackendBase::ReductionTarget > CodeGenerator::BackendBase::genInitReductionTargets	(	CodeStream &	os,
		const CustomUpdateGroupMerged &	cg,
		const std::string &	idx = `""`
	)		const

protected

Helper function to generate initialisation code for any reduction operations carried out be custom update group. Returns vector of ReductionTarget structs, providing all information to write back reduction results to memory

◆ genInitReductionTargets() [2/2]

std::vector< BackendBase::ReductionTarget > CodeGenerator::BackendBase::genInitReductionTargets	(	CodeStream &	os,
		const CustomUpdateWUGroupMerged &	cg,
		const std::string &	idx = `""`
	)		const

protected

Helper function to generate initialisation code for any reduction operations carried out be custom weight update group. //! Returns vector of ReductionTarget structs, providing all information to write back reduction results to memory

◆ genKernelCustomUpdateVariableInit()

virtual void CodeGenerator::BackendBase::genKernelCustomUpdateVariableInit	(	CodeStream &	os,
		const CustomWUUpdateInitGroupMerged &	cu,
		const Substitutions &	kernelSubs,
		Handler	handler
	)		const

pure virtual

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genKernelSynapseVariableInit()

virtual void CodeGenerator::BackendBase::genKernelSynapseVariableInit	(	CodeStream &	os,
		const SynapseInitGroupMerged &	sg,
		const Substitutions &	kernelSubs,
		Handler	handler
	)		const

pure virtual

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMakefileCompileRule()

virtual void CodeGenerator::BackendBase::genMakefileCompileRule ( std::ostream & os ) const

pure virtual

The GNU make build system uses 'pattern rules' (https://www.gnu.org/software/make/manual/html_node/Pattern-Intro.html) to build backend modules into objects. This function should generate a GNU make pattern rule capable of building each module (i.e. compiling .cc file $< into .o file $@).

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMakefileLinkRule()

virtual void CodeGenerator::BackendBase::genMakefileLinkRule ( std::ostream & os ) const

pure virtual

The GNU make build system will populate a variable called with a list of objects to link. This function should generate a GNU make rule to build these objects into a shared library.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMakefilePreamble()

virtual void CodeGenerator::BackendBase::genMakefilePreamble ( std::ostream & os ) const

pure virtual

This function can be used to generate a preamble for the GNU makefile used to build.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMergedExtraGlobalParamPush()

virtual void CodeGenerator::BackendBase::genMergedExtraGlobalParamPush	(	CodeStream &	os,
		const std::string &	suffix,
		size_t	mergedGroupIdx,
		const std::string &	groupIdx,
		const std::string &	fieldName,
		const std::string &	egpName
	)		const

pure virtual

Generate code for pushing an updated EGP value into the merged group structure on 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMSBuildCompileModule()

virtual void CodeGenerator::BackendBase::genMSBuildCompileModule	(	const std::string &	moduleName,
		std::ostream &	os
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMSBuildConfigProperties()

virtual void CodeGenerator::BackendBase::genMSBuildConfigProperties ( std::ostream & os ) const

pure virtual

In MSBuild, 'properties' are used to configure global project settings e.g. whether the MSBuild project builds a static or dynamic library This function can be used to add additional XML properties to this section.

see https://docs.microsoft.com/en-us/visualstudio/msbuild/msbuild-properties for more information.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMSBuildImportProps()

virtual void CodeGenerator::BackendBase::genMSBuildImportProps ( std::ostream & os ) const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMSBuildImportTarget()

virtual void CodeGenerator::BackendBase::genMSBuildImportTarget ( std::ostream & os ) const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genMSBuildItemDefinitions()

virtual void CodeGenerator::BackendBase::genMSBuildItemDefinitions ( std::ostream & os ) const

pure virtual

In MSBuild, the 'item definitions' are used to override the default properties of 'items' such as <ClCompile> or <Link>. This function should generate XML to correctly configure the 'items' required to build the generated code, taking into account etc.

see https://docs.microsoft.com/en-us/visualstudio/msbuild/msbuild-items#item-definitions for more information.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genNeuronIndexCalculation()

void CodeGenerator::BackendBase::genNeuronIndexCalculation	(	CodeStream &	os,
		const NeuronUpdateGroupMerged &	ng,
		unsigned int	batchSize
	)		const

protected

◆ genNeuronUpdate()

virtual void CodeGenerator::BackendBase::genNeuronUpdate	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged,
		HostHandler	preambleHandler,
		HostHandler	pushEGPHandler
	)		const

pure virtual

Generate platform-specific function to update the state of all neurons.

Parameters

os	CodeStream to write function to
modelMerged	merged model to generate code for
preambleHandler	callback to write functions for pushing extra-global parameters
pushEGPHandler	callback to write required extra-global parameter pushing code to start of neuronUpdate function

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genPopulationRNG()

virtual void CodeGenerator::BackendBase::genPopulationRNG	(	CodeStream &	definitions,
		CodeStream &	definitionsInternal,
		CodeStream &	runner,
		CodeStream &	allocations,
		CodeStream &	free,
		const std::string &	name,
		size_t	count,
		MemAlloc &	memAlloc
	)		const

pure virtual

Generate an RNG with a state per population member.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genPopVariableInit()

virtual void CodeGenerator::BackendBase::genPopVariableInit	(	CodeStream &	os,
		const Substitutions &	kernelSubs,
		Handler	handler
	)		const

pure virtual

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genReturnFreeDeviceMemoryBytes()

virtual void CodeGenerator::BackendBase::genReturnFreeDeviceMemoryBytes ( CodeStream & os ) const

pure virtual

Generate code to return amount of free 'device' memory in bytes.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genRunnerPreamble()

virtual void CodeGenerator::BackendBase::genRunnerPreamble	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged,
		const MemAlloc &	memAlloc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genSparseSynapseVariableRowInit()

virtual void CodeGenerator::BackendBase::genSparseSynapseVariableRowInit	(	CodeStream &	os,
		const Substitutions &	kernelSubs,
		Handler	handler
	)		const

pure virtual

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genStepTimeFinalisePreamble()

virtual void CodeGenerator::BackendBase::genStepTimeFinalisePreamble	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged
	)		const

pure virtual

After all timestep logic is complete.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genSynapseIndexCalculation()

void CodeGenerator::BackendBase::genSynapseIndexCalculation	(	CodeStream &	os,
		const SynapseGroupMergedBase &	sg,
		unsigned int	batchSize
	)		const

protected

◆ genSynapseUpdate()

virtual void CodeGenerator::BackendBase::genSynapseUpdate	(	CodeStream &	os,
		const ModelSpecMerged &	modelMerged,
		HostHandler	preambleHandler,
		HostHandler	pushEGPHandler
	)		const

pure virtual

Generate platform-specific function to update the state of all synapses.

Parameters

os	CodeStream to write function to
modelMerged	merged model to generate code for
preambleHandler	callback to write functions for pushing extra-global parameters
pushEGPHandler	callback to write required extra-global parameter pushing code to start of synapseUpdate function

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genTimer()

virtual void CodeGenerator::BackendBase::genTimer	(	CodeStream &	definitions,
		CodeStream &	definitionsInternal,
		CodeStream &	runner,
		CodeStream &	allocations,
		CodeStream &	free,
		CodeStream &	stepTimeFinalise,
		const std::string &	name,
		bool	updateInStepTime
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariableAllocation()

virtual void CodeGenerator::BackendBase::genVariableAllocation	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		size_t	count,
		MemAlloc &	memAlloc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariableDefinition()

virtual void CodeGenerator::BackendBase::genVariableDefinition	(	CodeStream &	definitions,
		CodeStream &	definitionsInternal,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariableFree()

virtual void CodeGenerator::BackendBase::genVariableFree	(	CodeStream &	os,
		const std::string &	name,
		VarLocation	loc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariableImplementation()

virtual void CodeGenerator::BackendBase::genVariableImplementation	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc
	)		const

pure virtual

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariableInit()

virtual void CodeGenerator::BackendBase::genVariableInit	(	CodeStream &	os,
		const std::string &	count,
		const std::string &	indexVarName,
		const Substitutions &	kernelSubs,
		Handler	handler
	)		const

pure virtual

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariablePull()

virtual void CodeGenerator::BackendBase::genVariablePull	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		size_t	count
	)		const

pure virtual

Generate code for pulling a variable from the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariablePush()

virtual void CodeGenerator::BackendBase::genVariablePush	(	CodeStream &	os,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		bool	autoInitialized,
		size_t	count
	)		const

pure virtual

Generate code for pushing a variable to the 'device'.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ genVariablePushPull()

void CodeGenerator::BackendBase::genVariablePushPull	(	CodeStream &	push,
		CodeStream &	pull,
		const std::string &	type,
		const std::string &	name,
		VarLocation	loc,
		bool	autoInitialized,
		size_t	count
	)		const

inline

Helper function to generate matching push and pull functions for a variable.

◆ getAllocateMemParams()

virtual std::string CodeGenerator::BackendBase::getAllocateMemParams ( const ModelSpecMerged & ) const

inlinevirtual

Get backend-specific allocate memory parameters.

Reimplemented in CodeGenerator::CUDA::Backend.

◆ getDeviceMemoryBytes()

virtual size_t CodeGenerator::BackendBase::getDeviceMemoryBytes ( ) const

pure virtual

How many bytes of memory does 'device' have.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ getDeviceVarPrefix()

virtual std::string CodeGenerator::BackendBase::getDeviceVarPrefix ( ) const

inlinevirtual

When backends require separate 'device' and 'host' versions of variables, they are identified with a prefix. This function returns the device prefix so it can be used in otherwise platform-independent code.

Reimplemented in CodeGenerator::SingleThreadedCPU::Backend, and CodeGenerator::BackendSIMT.

◆ getFilesToCopy()

virtual std::vector<filesystem::path> CodeGenerator::BackendBase::getFilesToCopy ( const ModelSpecMerged & ) const

inlinevirtual

Get list of files to copy into generated code.

Paths should be relative to share/genn/backends/

Reimplemented in CodeGenerator::OpenCL::Backend.

◆ getHashDigest()

virtual boost::uuids::detail::sha1::digest_type CodeGenerator::BackendBase::getHashDigest ( ) const

pure virtual

Get hash digest of this backends identification and the preferences it has been configured with.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ getHostVarPrefix()

virtual std::string CodeGenerator::BackendBase::getHostVarPrefix ( ) const

inlinevirtual

When backends require separate 'device' and 'host' versions of variables, they are identified with a prefix. This function returns the host prefix so it can be used in otherwise platform-independent code.

Reimplemented in CodeGenerator::OpenCL::Backend.

◆ getLowestValue()

std::string CodeGenerator::BackendBase::getLowestValue ( const std::string & type ) const

Get the lowest value of a type.

◆ getMergedGroupFieldHostType()

virtual std::string CodeGenerator::BackendBase::getMergedGroupFieldHostType ( const std::string & type ) const

pure virtual

When generating function calls to push to merged groups, backend without equivalent of Unified Virtual Addressing e.g. OpenCL 1.2 may use different types on host.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ getMergedGroupMemorySpaces()

virtual MemorySpaces CodeGenerator::BackendBase::getMergedGroupMemorySpaces ( const ModelSpecMerged & modelMerged ) const

pure virtual

Some backends will have additional small, fast, memory spaces for read-only data which might Be well-suited to storing merged group structs. This method returns the prefix required to Place arrays in these and their size in preferential order

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ getMergedGroupSimRNGType()

virtual std::string CodeGenerator::BackendBase::getMergedGroupSimRNGType ( ) const

pure virtual

When generating merged structures what type to use for simulation RNGs.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ getPointerPrefix()

virtual std::string CodeGenerator::BackendBase::getPointerPrefix ( ) const

inlinevirtual

Different backends may have different or no pointer prefix (e.g. __global for OpenCL)

Reimplemented in CodeGenerator::OpenCL::Backend.

◆ getPreferences() [1/2]

const PreferencesBase& CodeGenerator::BackendBase::getPreferences ( ) const

inline

◆ getPreferences() [2/2]

template<typename T >

const T& CodeGenerator::BackendBase::getPreferences ( ) const

inline

◆ getScalarAddressPrefix()

std::string CodeGenerator::BackendBase::getScalarAddressPrefix ( ) const

inline

Get the prefix for accessing the address of 'scalar' variables.

◆ getSize()

size_t CodeGenerator::BackendBase::getSize ( const std::string & type ) const

Get the size of the type.

◆ getSynapticMatrixRowStride()

virtual size_t CodeGenerator::BackendBase::getSynapticMatrixRowStride ( const SynapseGroupInternal & sg ) const

pure virtual

Gets the stride used to access synaptic matrix rows, taking into account sparse data structure, padding etc.

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isDeviceScalarRequired()

virtual bool CodeGenerator::BackendBase::isDeviceScalarRequired ( ) const

pure virtual

Should 'scalar' variables be implemented on device or can host variables be used directly?

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isGlobalDeviceRNGRequired()

virtual bool CodeGenerator::BackendBase::isGlobalDeviceRNGRequired ( const ModelSpecMerged & modelMerged ) const

pure virtual

Different backends use different RNGs for different things. Does this one require a global device RNG for the specified model?

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isGlobalHostRNGRequired()

virtual bool CodeGenerator::BackendBase::isGlobalHostRNGRequired ( const ModelSpecMerged & modelMerged ) const

pure virtual

Different backends use different RNGs for different things. Does this one require a global host RNG for the specified model?

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isHostReductionRequired()

virtual bool CodeGenerator::BackendBase::isHostReductionRequired ( ) const

pure virtual

Backends which support batch-parallelism might require an additional host reduction phase after reduction kernels.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isPopulationRNGInitialisedOnDevice()

virtual bool CodeGenerator::BackendBase::isPopulationRNGInitialisedOnDevice ( ) const

pure virtual

Different backends seed RNGs in different ways. Does this one initialise population RNGS on device?

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isPopulationRNGRequired()

virtual bool CodeGenerator::BackendBase::isPopulationRNGRequired ( ) const

pure virtual

Different backends use different RNGs for different things. Does this one require population RNGs?

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ isPostsynapticRemapRequired()

virtual bool CodeGenerator::BackendBase::isPostsynapticRemapRequired ( ) const

pure virtual

Different backends may implement synaptic plasticity differently. Does this one require a postsynaptic remapping data structure?

Implemented in CodeGenerator::BackendSIMT, and CodeGenerator::SingleThreadedCPU::Backend.

◆ setPointerBytes()

void CodeGenerator::BackendBase::setPointerBytes ( size_t pointerBytes )

inlineprotected

◆ supportsNamespace()

virtual bool CodeGenerator::BackendBase::supportsNamespace ( ) const

pure virtual

Does this backend support namespaces i.e. can C++ implementation of support functions be used.

Implemented in CodeGenerator::CUDA::Backend, CodeGenerator::OpenCL::Backend, and CodeGenerator::SingleThreadedCPU::Backend.

The documentation for this class was generated from the following files:

Classes

Public Types

Public Member Functions

Protected Member Functions

Member Typedef Documentation

◆ GroupHandler

◆ Handler

◆ HostHandler

◆ MemorySpaces

Constructor & Destructor Documentation

◆ BackendBase()

◆ ~BackendBase()

Member Function Documentation

◆ addType()

◆ areSixtyFourBitSynapseIndicesRequired()

◆ genAllocateMemPreamble()

◆ genArray()

◆ genCurrentSpikeLikeEventPull()

◆ genCurrentSpikeLikeEventPush()

◆ genCurrentTrueSpikePull()

◆ genCurrentTrueSpikePush()

◆ genCurrentVariablePull()

◆ genCurrentVariablePush()

◆ genCurrentVariablePushPull()

◆ genCustomUpdate()

◆ genCustomUpdateIndexCalculation()

◆ genDefinitionsInternalPreamble()

◆ genDefinitionsPreamble()

◆ genDenseSynapseVariableRowInit()

◆ genExtraGlobalParamAllocation()

◆ genExtraGlobalParamDefinition()

◆ genExtraGlobalParamImplementation()

◆ genExtraGlobalParamPull()

◆ genExtraGlobalParamPush()

◆ genFreeMemPreamble()

◆ genGlobalDeviceRNG()

◆ genInit()

◆ genInitReductionTargets() [1/2]

◆ genInitReductionTargets() [2/2]

◆ genKernelCustomUpdateVariableInit()

◆ genKernelSynapseVariableInit()

◆ genMakefileCompileRule()

◆ genMakefileLinkRule()

◆ genMakefilePreamble()

◆ genMergedExtraGlobalParamPush()

◆ genMSBuildCompileModule()

◆ genMSBuildConfigProperties()

◆ genMSBuildImportProps()

◆ genMSBuildImportTarget()

◆ genMSBuildItemDefinitions()

◆ genNeuronIndexCalculation()

◆ genNeuronUpdate()

◆ genPopulationRNG()

◆ genPopVariableInit()

◆ genReturnFreeDeviceMemoryBytes()

◆ genRunnerPreamble()

◆ genSparseSynapseVariableRowInit()

◆ genStepTimeFinalisePreamble()

◆ genSynapseIndexCalculation()

◆ genSynapseUpdate()

◆ genTimer()

◆ genVariableAllocation()

◆ genVariableDefinition()

◆ genVariableFree()

◆ genVariableImplementation()

◆ genVariableInit()

◆ genVariablePull()

◆ genVariablePush()

◆ genVariablePushPull()

◆ getAllocateMemParams()

◆ getDeviceMemoryBytes()

◆ getDeviceVarPrefix()

◆ getFilesToCopy()

◆ getHashDigest()

◆ getHostVarPrefix()

◆ getLowestValue()

◆ getMergedGroupFieldHostType()

◆ getMergedGroupMemorySpaces()

◆ getMergedGroupSimRNGType()

◆ getPointerPrefix()