Class SystematicSparseMatrixBenchmark

java.lang.Object

org.episteme.benchmarks.benchmark.benchmarks.SystematicSparseMatrixBenchmark

All Implemented Interfaces:

SystematicBenchmark<SparseLinearAlgebraProvider<Real>>, RunnableBenchmark

@AutoService(RunnableBenchmark.class)
public class SystematicSparseMatrixBenchmark
extends Object
implements SystematicBenchmark<SparseLinearAlgebraProvider<Real>>

A benchmark that systematically tests all available SparseLinearAlgebraProviders.

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Constructor Summary

Constructors

Constructor	Description
SystematicSparseMatrixBenchmark()

Method Summary

Modifier and Type	Method	Description
String	getDescription()
String	getDomain()
String	getId()
String	getIdPrefix()
String	getName()
String	getNameBase()
Class<SparseLinearAlgebraProvider<Real>>	getProviderClass()
int	getSuggestedIterations()
void	run()	The core action to measure.
void	setProvider(SparseLinearAlgebraProvider<Real> provider)	Sets the provider instance for a specific benchmark execution.
void	setup()	Setup method called once before the benchmark runs.
void	teardown()	Cleanup method called once after the benchmark completes.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface RunnableBenchmark

getAlgorithmProvider, getAlgorithmProviderInstance, getAlgorithmType, getMetadata, getPrecisionMode, isAvailable, isDryRun, setDryRun, setPrecisionMode

Methods inherited from interface SystematicBenchmark

isHighPrecision

Constructor Details

SystematicSparseMatrixBenchmark

public SystematicSparseMatrixBenchmark()

Method Details

getId

public String getId()

Specified by:

getId in interface RunnableBenchmark

Returns:

A unique stable identifier for this benchmark (e.g. "ga-tsp-50")

getName

public String getName()

Specified by:

getName in interface RunnableBenchmark

Returns:

Unique human-readable name of the benchmark

getIdPrefix

public String getIdPrefix()

Specified by:

getIdPrefix in interface SystematicBenchmark<SparseLinearAlgebraProvider<Real>>

Returns:

The prefix used for the generated benchmark IDs.

getNameBase

public String getNameBase()

Specified by:

getNameBase in interface SystematicBenchmark<SparseLinearAlgebraProvider<Real>>

Returns:

The base name for the generated benchmark names.

getProviderClass

public Class<SparseLinearAlgebraProvider<Real>> getProviderClass()

Specified by:

getProviderClass in interface SystematicBenchmark<SparseLinearAlgebraProvider<Real>>

Returns:

The class of the provider interface to discover.

getDescription

public String getDescription()

Specified by:

getDescription in interface RunnableBenchmark

Returns:

A detailed description of what the benchmark measures

getDomain

public String getDomain()

Specified by:

getDomain in interface RunnableBenchmark

Returns:

The domain of this benchmark (e.g. "Linear Algebra", "Physics")

setup

public void setup()

Description copied from interface: RunnableBenchmark

Setup method called once before the benchmark runs. Use this to initialize data structures.

Specified by:

setup in interface RunnableBenchmark

setProvider

public void setProvider(SparseLinearAlgebraProvider<Real> provider)

Description copied from interface: SystematicBenchmark

Sets the provider instance for a specific benchmark execution.

Specified by:

setProvider in interface SystematicBenchmark<SparseLinearAlgebraProvider<Real>>

run

public void run()

Description copied from interface: RunnableBenchmark

The core action to measure. This method will be called repeatedly in a loop.

Specified by:

run in interface RunnableBenchmark

teardown

public void teardown()

Description copied from interface: RunnableBenchmark

Cleanup method called once after the benchmark completes.

Specified by:

teardown in interface RunnableBenchmark

getSuggestedIterations

public int getSuggestedIterations()

Specified by:

getSuggestedIterations in interface RunnableBenchmark

Returns:

Estimated number of iterations required for a stable result