## Uses of Class
org.apache.sysds.runtime.controlprogram.caching.MatrixObject

Packages that use MatrixObject
org.apache.sysds.api.mlcontext
org.apache.sysds.hops.rewrite
org.apache.sysds.runtime.codegen
org.apache.sysds.runtime.controlprogram.caching
org.apache.sysds.runtime.controlprogram.context
org.apache.sysds.runtime.controlprogram.federated
org.apache.sysds.runtime.controlprogram.paramserv
org.apache.sysds.runtime.controlprogram.paramserv.dp
org.apache.sysds.runtime.controlprogram.paramserv.homomorphicEncryption
org.apache.sysds.runtime.controlprogram.parfor
org.apache.sysds.runtime.controlprogram.parfor.opt
org.apache.sysds.runtime.instructions.cp
org.apache.sysds.runtime.instructions.fed
org.apache.sysds.runtime.instructions.gpu.context
org.apache.sysds.runtime.instructions.spark.utils
org.apache.sysds.runtime.lineage
org.apache.sysds.runtime.matrix.data
org.apache.sysds.runtime.util

### Uses of MatrixObject in org.apache.sysds.api.mlcontext

Methods in org.apache.sysds.api.mlcontext that return MatrixObject
`static MatrixObject` MLContextConversionUtil.`binaryBlocksToMatrixObject​(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,​MatrixBlock> binaryBlocks)` Convert a `JavaPairRDD<MatrixIndexes, MatrixBlock>` to a `MatrixObject`.
`static MatrixObject` MLContextConversionUtil.`binaryBlocksToMatrixObject​(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,​MatrixBlock> binaryBlocks, MatrixMetadata matrixMetadata)` Convert a `JavaPairRDD<MatrixIndexes, MatrixBlock>` to a `MatrixObject`.
`static MatrixObject` MLContextConversionUtil.`dataFrameToMatrixObject​(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> dataFrame)` Convert a `DataFrame` to a `MatrixObject`.
`static MatrixObject` MLContextConversionUtil.`dataFrameToMatrixObject​(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> dataFrame, MatrixMetadata matrixMetadata)` Convert a `DataFrame` to a `MatrixObject`.
`static MatrixObject` MLContextConversionUtil.`doubleMatrixToMatrixObject​(String variableName, double[][] doubleMatrix)` Convert a two-dimensional double array to a `MatrixObject`.
`static MatrixObject` MLContextConversionUtil.`doubleMatrixToMatrixObject​(String variableName, double[][] doubleMatrix, MatrixMetadata matrixMetadata)` Convert a two-dimensional double array to a `MatrixObject`.
`MatrixObject` MLResults.`getMatrixObject​(String outputName)` Obtain an output as a `MatrixObject`
`static MatrixObject` MLContextConversionUtil.`javaRDDStringCSVToMatrixObject​(org.apache.spark.api.java.JavaRDD<String> javaRDD)` Convert a `JavaRDD<String>` in CSV format to a `MatrixObject`
`static MatrixObject` MLContextConversionUtil.`javaRDDStringCSVToMatrixObject​(org.apache.spark.api.java.JavaRDD<String> javaRDD, MatrixMetadata matrixMetadata)` Convert a `JavaRDD<String>` in CSV format to a `MatrixObject`
`static MatrixObject` MLContextConversionUtil.`javaRDDStringIJVToMatrixObject​(org.apache.spark.api.java.JavaRDD<String> javaRDD, MatrixMetadata matrixMetadata)` Convert a `JavaRDD<String>` in IJV format to a `MatrixObject` .
`static MatrixObject` MLContextConversionUtil.`matrixBlockToMatrixObject​(String variableName, MatrixBlock matrixBlock, MatrixMetadata matrixMetadata)` Convert a `MatrixBlock` to a `MatrixObject`.
`static MatrixObject` MLContextConversionUtil.`rddStringCSVToMatrixObject​(org.apache.spark.rdd.RDD<String> rdd)` Convert a `RDD<String>` in CSV format to a `MatrixObject`
`static MatrixObject` MLContextConversionUtil.`rddStringCSVToMatrixObject​(org.apache.spark.rdd.RDD<String> rdd, MatrixMetadata matrixMetadata)` Convert a `RDD<String>` in CSV format to a `MatrixObject`
`static MatrixObject` MLContextConversionUtil.`rddStringIJVToMatrixObject​(org.apache.spark.rdd.RDD<String> rdd, MatrixMetadata matrixMetadata)` Convert a `RDD<String>` in IJV format to a `MatrixObject`.
`MatrixObject` Matrix.`toMatrixObject()` Obtain the matrix as a SystemDS MatrixObject.
`static MatrixObject` MLContextConversionUtil.`urlToMatrixObject​(URL url, MatrixMetadata matrixMetadata)` Convert a matrix at a URL to a `MatrixObject`.

Methods in org.apache.sysds.api.mlcontext with parameters of type MatrixObject
`static double[][]` MLContextConversionUtil.`matrixObjectTo2DDoubleArray​(MatrixObject matrixObject)` Convert a `MatrixObject` to a two-dimensional double array.
`static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,​MatrixBlock>` MLContextConversionUtil.`matrixObjectToBinaryBlocks​(MatrixObject matrixObject, SparkExecutionContext sparkExecutionContext)` Convert a `MatrixObject` to a `JavaPairRDD<MatrixIndexes, MatrixBlock>`.
`static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>` MLContextConversionUtil.`matrixObjectToDataFrame​(MatrixObject matrixObject, SparkExecutionContext sparkExecutionContext, boolean isVectorDF)` Convert a `MatrixObject` to a `DataFrame`.
`static org.apache.spark.api.java.JavaRDD<String>` MLContextConversionUtil.`matrixObjectToJavaRDDStringCSV​(MatrixObject matrixObject)` Convert a `MatrixObject` to a `JavaRDD<String>` in CSV format.
`static org.apache.spark.api.java.JavaRDD<String>` MLContextConversionUtil.`matrixObjectToJavaRDDStringIJV​(MatrixObject matrixObject)` Convert a `MatrixObject` to a `JavaRDD<String>` in IJV format.
`static List<String>` MLContextConversionUtil.`matrixObjectToListStringCSV​(MatrixObject matrixObject)` Convert a `MatrixObject` to a `List<String>` in CSV format.
`static List<String>` MLContextConversionUtil.`matrixObjectToListStringIJV​(MatrixObject matrixObject)` Convert a `MatrixObject` to a `List<String>` in IJV format.
`static org.apache.spark.rdd.RDD<String>` MLContextConversionUtil.`matrixObjectToRDDStringCSV​(MatrixObject matrixObject)` Convert a `MatrixObject` to a `RDD<String>` in CSV format.
`static org.apache.spark.rdd.RDD<String>` MLContextConversionUtil.`matrixObjectToRDDStringIJV​(MatrixObject matrixObject)` Convert a `MatrixObject` to a `RDD<String>` in IJV format.

Constructors in org.apache.sysds.api.mlcontext with parameters of type MatrixObject
`Matrix​(MatrixObject matrixObject, SparkExecutionContext sparkExecutionContext)`

### Uses of MatrixObject in org.apache.sysds.hops.rewrite

Methods in org.apache.sysds.hops.rewrite with parameters of type MatrixObject
`static void` HopRewriteUtils.`copyLineNumbers​(MatrixObject mo, Hop tread)`
`static DataOp` HopRewriteUtils.`createTransientRead​(String name, MatrixObject mo)`

### Uses of MatrixObject in org.apache.sysds.runtime.codegen

Methods in org.apache.sysds.runtime.codegen that return MatrixObject
`MatrixObject` SpoofCUDACellwise.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, String outputName)`
`MatrixObject` SpoofCUDAOperator.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, String outputName)`
`MatrixObject` SpoofCUDARowwise.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, String outputName)`

Methods in org.apache.sysds.runtime.codegen with parameters of type MatrixObject
`default void` SpoofCUDAOperator.`packDataForTransfer​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, MatrixObject out_obj, int num_inputs, int ID, long grix, boolean tB1, jcuda.Pointer[] ptr)`
`default void` SpoofCUDAOperator.`prepareMatrixPointers​(ByteBuffer buf, ExecutionContext ec, MatrixObject mo, boolean tB1)`

Method parameters in org.apache.sysds.runtime.codegen with type arguments of type MatrixObject
`ScalarObject` SpoofCUDACellwise.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects)`
`MatrixObject` SpoofCUDACellwise.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, String outputName)`
`ScalarObject` SpoofCUDAOperator.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects)`
`MatrixObject` SpoofCUDAOperator.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, String outputName)`
`ScalarObject` SpoofCUDARowwise.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects)`
`MatrixObject` SpoofCUDARowwise.`execute​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, String outputName)`
`static boolean` SpoofRowwise.`hasMatrixObjectSideInput​(ArrayList<MatrixObject> inputs)`
`default void` SpoofCUDAOperator.`packDataForTransfer​(ExecutionContext ec, ArrayList<MatrixObject> inputs, ArrayList<ScalarObject> scalarObjects, MatrixObject out_obj, int num_inputs, int ID, long grix, boolean tB1, jcuda.Pointer[] ptr)`

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.caching

Constructors in org.apache.sysds.runtime.controlprogram.caching with parameters of type MatrixObject
`MatrixObject​(MatrixObject mo)` Copy constructor that copies meta data but NO data.

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.context

Subclasses of MatrixObject in org.apache.sysds.runtime.controlprogram.context
`class` `MatrixObjectFuture`

Methods in org.apache.sysds.runtime.controlprogram.context that return MatrixObject
`MatrixObject` ExecutionContext.`allocateGPUMatrixObject​(String varName, long numRows, long numCols)` Allocates the `GPUObject` for a given LOPS Variable (eg.
`static MatrixObject` ExecutionContext.`createMatrixObject​(MatrixBlock mb)`
`static MatrixObject` ExecutionContext.`createMatrixObject​(DataCharacteristics dc)`
`MatrixObject` ExecutionContext.`getMatrixInputForGPUInstruction​(String varName, String opcode)`
`MatrixObject` ExecutionContext.`getMatrixObject​(String varname)`
`MatrixObject` ExecutionContext.`getMatrixObject​(CPOperand input)`

Methods in org.apache.sysds.runtime.controlprogram.context that return types with arguments of type MatrixObject
`Pair<MatrixObject,​Boolean>` ExecutionContext.`getDenseMatrixOutputForGPUInstruction​(String varName, long numRows, long numCols)` Allocates a dense matrix on the GPU (for output)
`Pair<MatrixObject,​Boolean>` ExecutionContext.`getDenseMatrixOutputForGPUInstruction​(String varName, long numRows, long numCols, boolean initialize)`
`Pair<MatrixObject,​Boolean>` ExecutionContext.`getSparseMatrixOutputForGPUInstruction​(String varName, long numRows, long numCols, long nnz)` Allocates a sparse matrix in CSR format on the GPU.
`Pair<MatrixObject,​Boolean>` ExecutionContext.`getSparseMatrixOutputForGPUInstruction​(String varName, long numRows, long numCols, long nnz, boolean initialize)`

Methods in org.apache.sysds.runtime.controlprogram.context with parameters of type MatrixObject
`PartitionedBroadcast<MatrixBlock>` SparkExecutionContext.`getBroadcastForMatrixObject​(MatrixObject mo)`
`long` ExecutionContext.`getGPUDensePointerAddress​(MatrixObject obj)`
`CSRPointer` ExecutionContext.`getGPUSparsePointerAddress​(MatrixObject obj)`
`org.apache.spark.api.java.JavaPairRDD<?,​?>` SparkExecutionContext.`getRDDHandleForMatrixObject​(MatrixObject mo, Types.FileFormat fmt)`
`org.apache.spark.api.java.JavaPairRDD<?,​?>` SparkExecutionContext.`getRDDHandleForMatrixObject​(MatrixObject mo, Types.FileFormat fmt, int numParts, boolean inclEmpty)`
`void` SparkExecutionContext.`setBroadcastHandle​(MatrixObject mo)`

Constructors in org.apache.sysds.runtime.controlprogram.context with parameters of type MatrixObject
`MatrixObjectFuture​(MatrixObject mo, Future<MatrixBlock> fmb)`

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.federated

Methods in org.apache.sysds.runtime.controlprogram.federated that return MatrixObject
`MatrixObject` MatrixLineagePair.`getMO()`

Methods in org.apache.sysds.runtime.controlprogram.federated with parameters of type MatrixObject
`static void` FederationUtils.`checkFedMapType​(MatrixObject mo)`
`static MatrixLineagePair` MatrixLineagePair.`of​(MatrixObject mo, LineageItem li)`

Constructors in org.apache.sysds.runtime.controlprogram.federated with parameters of type MatrixObject
`MatrixLineagePair​(MatrixObject mo, LineageItem li)`

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.paramserv

Methods in org.apache.sysds.runtime.controlprogram.paramserv that return MatrixObject
`static MatrixObject` ParamservUtils.`createShallowCopy​(MatrixObject mo)`
`MatrixObject` PSWorker.`getFeatures()`
`MatrixObject` PSWorker.`getLabels()`
`static MatrixObject` ParamservUtils.`newMatrixObject​(MatrixBlock mb)`
`static MatrixObject` ParamservUtils.`newMatrixObject​(MatrixBlock mb, boolean cleanup)`
`static MatrixObject` ParamservUtils.`sliceMatrix​(MatrixObject mo, long rl, long rh)` Slice the matrix

Methods in org.apache.sysds.runtime.controlprogram.paramserv with parameters of type MatrixObject
`static HEParamServer` HEParamServer.`create​(ListObject model, String aggFunc, Statement.PSUpdateType updateType, Statement.PSFrequency freq, ExecutionContext ec, int workerNum, String valFunc, int numBatchesPerEpoch, MatrixObject valFeatures, MatrixObject valLabels, int nbatches, int numBackupWorkers)`
`static LocalParamServer` LocalParamServer.`create​(ListObject model, String aggFunc, Statement.PSUpdateType updateType, Statement.PSFrequency freq, ExecutionContext ec, int workerNum, String valFunc, int numBatchesPerEpoch, MatrixObject valFeatures, MatrixObject valLabels, int nbatches, boolean modelAvg, int numBackupWorkers)`
`static MatrixObject` ParamservUtils.`createShallowCopy​(MatrixObject mo)`
`static org.apache.spark.api.java.JavaPairRDD<Integer,​scala.Tuple2<MatrixBlock,​MatrixBlock>>` SparkParamservUtils.`doPartitionOnSpark​(SparkExecutionContext sec, MatrixObject features, MatrixObject labels, Statement.PSScheme scheme, int workerNum)`
`void` PSWorker.`setFeatures​(MatrixObject features)`
`void` PSWorker.`setLabels​(MatrixObject labels)`
`static MatrixObject` ParamservUtils.`sliceMatrix​(MatrixObject mo, long rl, long rh)` Slice the matrix

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.paramserv.dp

Fields in org.apache.sysds.runtime.controlprogram.paramserv.dp with type parameters of type MatrixObject
`List<MatrixObject>` DataPartitionFederatedScheme.Result.`_pFeatures`
`List<MatrixObject>` DataPartitionFederatedScheme.Result.`_pLabels`
`List<MatrixObject>` DataPartitionLocalScheme.Result.`pFeatures`
`List<MatrixObject>` DataPartitionLocalScheme.Result.`pLabels`

Methods in org.apache.sysds.runtime.controlprogram.paramserv.dp with parameters of type MatrixObject
`DataPartitionFederatedScheme.Result` FederatedDataPartitioner.`doPartitioning​(MatrixObject features, MatrixObject labels)`
`DataPartitionFederatedScheme.Result` BalanceToAvgFederatedScheme.`partition​(MatrixObject features, MatrixObject labels, int seed)`
`abstract DataPartitionFederatedScheme.Result` DataPartitionFederatedScheme.`partition​(MatrixObject features, MatrixObject labels, int seed)`
`DataPartitionFederatedScheme.Result` KeepDataOnWorkerFederatedScheme.`partition​(MatrixObject features, MatrixObject labels, int seed)`
`DataPartitionFederatedScheme.Result` ReplicateToMaxFederatedScheme.`partition​(MatrixObject features, MatrixObject labels, int seed)`
`DataPartitionFederatedScheme.Result` ShuffleFederatedScheme.`partition​(MatrixObject features, MatrixObject labels, int seed)`
`DataPartitionFederatedScheme.Result` SubsampleToMinFederatedScheme.`partition​(MatrixObject features, MatrixObject labels, int seed)`

Constructor parameters in org.apache.sysds.runtime.controlprogram.paramserv.dp with type arguments of type MatrixObject
`Result​(List<MatrixObject> pFeatures, List<MatrixObject> pLabels, int workerNum, DataPartitionFederatedScheme.BalanceMetrics balanceMetrics, List<Double> weightingFactors)`
`Result​(List<MatrixObject> pFeatures, List<MatrixObject> pLabels)`

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.paramserv.homomorphicEncryption

Methods in org.apache.sysds.runtime.controlprogram.paramserv.homomorphicEncryption that return MatrixObject
`MatrixObject` SEALServer.`average​(CiphertextMatrix encrypted_sum, PlaintextMatrix[] partial_plaintexts)` averages the partial decryptions

Methods in org.apache.sysds.runtime.controlprogram.paramserv.homomorphicEncryption with parameters of type MatrixObject
`CiphertextMatrix` SEALClient.`encrypt​(MatrixObject plaintext)` encrypts one block of data with public key stored statically and returns it setPublicKey() must have been called before calling this

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.parfor

Methods in org.apache.sysds.runtime.controlprogram.parfor that return MatrixObject
`MatrixObject` DataPartitioner.`createPartitionedMatrixObject​(MatrixObject in, String fnameNew)`
`MatrixObject` DataPartitioner.`createPartitionedMatrixObject​(MatrixObject in, String fnameNew, boolean force)`
`MatrixObject` DataPartitioner.`createPartitionedMatrixObject​(MatrixObject in, MatrixObject out, boolean force)` Creates a partitioned matrix object based on the given input matrix object, according to the specified split format.
`MatrixObject` ResultMergeLocalAutomatic.`executeParallelMerge​(int par)`
`MatrixObject` ResultMergeLocalFile.`executeParallelMerge​(int par)`
`MatrixObject` ResultMergeLocalMemory.`executeParallelMerge​(int par)`
`MatrixObject` ResultMergeRemoteSpark.`executeParallelMerge​(int par)`
`MatrixObject` ResultMergeRemoteSparkWCompare.`executeParallelMerge​(int par)`
`MatrixObject` ResultMergeLocalAutomatic.`executeSerialMerge()`
`MatrixObject` ResultMergeLocalFile.`executeSerialMerge()`
`MatrixObject` ResultMergeLocalMemory.`executeSerialMerge()`
`MatrixObject` ResultMergeRemoteSpark.`executeSerialMerge()`
`MatrixObject` ResultMergeRemoteSparkWCompare.`executeSerialMerge()`

Methods in org.apache.sysds.runtime.controlprogram.parfor with parameters of type MatrixObject
`MatrixObject` DataPartitioner.`createPartitionedMatrixObject​(MatrixObject in, String fnameNew)`
`MatrixObject` DataPartitioner.`createPartitionedMatrixObject​(MatrixObject in, String fnameNew, boolean force)`
`MatrixObject` DataPartitioner.`createPartitionedMatrixObject​(MatrixObject in, MatrixObject out, boolean force)` Creates a partitioned matrix object based on the given input matrix object, according to the specified split format.
`static RemoteParForJobReturn` RemoteDPParForSpark.`runJob​(long pfid, String itervar, String matrixvar, String program, HashMap<String,​byte[]> clsMap, String resultFile, MatrixObject input, ExecutionContext ec, ParForProgramBlock.PartitionFormat dpf, Types.FileFormat fmt, boolean tSparseCol, boolean enableCPCaching, int numReducers)`

Constructors in org.apache.sysds.runtime.controlprogram.parfor with parameters of type MatrixObject
`ResultMergeLocalAutomatic​(MatrixObject out, MatrixObject[] in, String outputFilename, boolean accum)`
`ResultMergeLocalFile​(MatrixObject out, MatrixObject[] in, String outputFilename, boolean accum)`
`ResultMergeLocalMemory​(MatrixObject out, MatrixObject[] in, String outputFilename, boolean accum)`
`ResultMergeMatrix​(MatrixObject out, MatrixObject[] in, String outputFilename, boolean accum)`
`ResultMergeRemoteSpark​(MatrixObject out, MatrixObject[] in, String outputFilename, boolean accum, ExecutionContext ec, int numMappers, int numReducers)`

### Uses of MatrixObject in org.apache.sysds.runtime.controlprogram.parfor.opt

Methods in org.apache.sysds.runtime.controlprogram.parfor.opt with parameters of type MatrixObject
`static boolean` OptimizerRuleBased.`allowsBinaryCellPartitions​(MatrixObject mo, ParForProgramBlock.PartitionFormat dpf)`

### Uses of MatrixObject in org.apache.sysds.runtime.instructions.cp

Constructors in org.apache.sysds.runtime.instructions.cp with parameters of type MatrixObject
`TriggerBroadcastTask​(ExecutionContext ec, MatrixObject mo)`
`TriggerCheckpointTask​(MatrixObject mo)`
`TriggerPrefetchTask​(MatrixObject mo)`
`TriggerPrefetchTask​(MatrixObject mo, LineageItem li)`

### Uses of MatrixObject in org.apache.sysds.runtime.instructions.fed

Methods in org.apache.sysds.runtime.instructions.fed with parameters of type MatrixObject
`static void` MultiReturnParameterizedBuiltinFEDInstruction.`encodeFederatedFrames​(FederationMap fedMapping, MultiColumnEncoder globalencoder, MatrixObject transformedMat)`
`void` UnaryMatrixFEDInstruction.`processCumulativeInstruction​(ExecutionContext ec, MatrixObject mo1)`

### Uses of MatrixObject in org.apache.sysds.runtime.instructions.gpu.context

Methods in org.apache.sysds.runtime.instructions.gpu.context that return MatrixObject
`MatrixObject` GPUObject.`getMatrixObject()`

Methods in org.apache.sysds.runtime.instructions.gpu.context with parameters of type MatrixObject
`GPUObject` GPUContext.`createGPUObject​(MatrixObject mo)` Instantiates a new `GPUObject` initialized with the given `MatrixObject`.
`GPUObject` GPUContext.`shallowCopyGPUObject​(GPUObject source, MatrixObject mo)` Shallow copy the given source `GPUObject` to a new `GPUObject` and assign that to the given `MatrixObject`.

Constructors in org.apache.sysds.runtime.instructions.gpu.context with parameters of type MatrixObject
`GPUObject​(GPUContext gCtx, GPUObject that, MatrixObject mat)`

### Uses of MatrixObject in org.apache.sysds.runtime.instructions.spark.utils

Methods in org.apache.sysds.runtime.instructions.spark.utils with parameters of type MatrixObject
`static long` SparkUtils.`getNonZeros​(MatrixObject mo)`
`static void` SparkUtils.`postprocessUltraSparseOutput​(MatrixObject mo, DataCharacteristics mcOut)`

### Uses of MatrixObject in org.apache.sysds.runtime.lineage

Methods in org.apache.sysds.runtime.lineage with parameters of type MatrixObject
`static FederatedResponse` LineageItemUtils.`setUDFResponse​(FederatedUDF udf, MatrixObject mo)`

### Uses of MatrixObject in org.apache.sysds.runtime.matrix.data

Methods in org.apache.sysds.runtime.matrix.data that return MatrixObject
`static MatrixObject` LibMatrixCUDA.`getDenseMatrixOutputForGPUInstruction​(ExecutionContext ec, String instName, String name, long numRows, long numCols)` Helper method to get the output block (allocated on the GPU) Also records performance information into `Statistics`
`static MatrixObject` LibMatrixCUDA.`getDenseMatrixOutputForGPUInstruction​(ExecutionContext ec, String instName, String name, long numRows, long numCols, boolean initialize)`

`static MatrixObject`

LibMatrixCuMatMult.`matmult​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject left, MatrixObject right, String outputName, boolean isLeftTransposed, boolean isRightTransposed)`

Matrix multiply on GPU Examines sparsity and shapes and routes call to appropriate method from cuBLAS or cuSparse C = op(A) x op(B) The user is expected to call ec.releaseMatrixOutputForGPUInstruction(outputName);

Methods in org.apache.sysds.runtime.matrix.data with parameters of type MatrixObject
`static void` LibMatrixCUDA.`abs​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "abs" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`acos​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "acos" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`asin​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "asin" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`atan​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "atan" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`axpy​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, MatrixObject in2, String outputName, double constant)` Performs daxpy operation
`static void` LibMatrixCuDNN.`batchNormalizationBackward​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject dout, MatrixObject scale, MatrixObject dX, MatrixObject dScale, MatrixObject dBias, double epsilon, MatrixObject resultSaveMean, MatrixObject resultSaveInvVariance)` This method computes the backpropagation errors for image, scale and bias of batch normalization layer
`static void` LibMatrixCuDNN.`batchNormalizationForwardInference​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject scale, MatrixObject bias, MatrixObject runningMean, MatrixObject runningVar, MatrixObject ret, double epsilon)` Performs the forward BatchNormalization layer computation for inference

`static void`

LibMatrixCuDNN.`batchNormalizationForwardTraining​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject scale, MatrixObject bias, MatrixObject runningMean, MatrixObject runningVar, MatrixObject ret, MatrixObject retRunningMean, MatrixObject retRunningVar, double epsilon, double exponentialAverageFactor, MatrixObject resultSaveMean, MatrixObject resultSaveInvVariance)`

Performs the forward BatchNormalization layer computation for training

`static void`

LibMatrixCUDA.`biasAdd​(GPUContext gCtx, String instName, MatrixObject input, MatrixObject bias, MatrixObject outputBlock)`

Performs the operation corresponding to the DML script: ones = matrix(1, rows=1, cols=Hout*Wout) output = input + matrix(bias %*% ones, rows=1, cols=F*Hout*Wout) This operation is often followed by conv2d and hence we have introduced bias_add(input, bias) built-in function

`static void`

LibMatrixCUDA.`biasMultiply​(GPUContext gCtx, String instName, MatrixObject input, MatrixObject bias, MatrixObject outputBlock)`

Performs the operation corresponding to the DML script: ones = matrix(1, rows=1, cols=Hout*Wout) output = input * matrix(bias %*% ones, rows=1, cols=F*Hout*Wout) This operation is often followed by conv2d and hence we have introduced bias_add(input, bias) built-in function

`static void` LibMatrixCUDA.`cbind​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, MatrixObject in2, String outputName)`
`static void` LibMatrixCUDA.`ceil​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "ceil" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`channelSums​(GPUContext gCtx, String instName, MatrixObject input, MatrixObject outputBlock, long C, long HW)` Perform channel_sums operations: out = rowSums(matrix(colSums(A), rows=C, cols=HW))
`static void` LibMatrixCuDNN.`conv2d​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject filter, MatrixObject outputBlock, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, double intermediateMemoryBudget)` Performs a 2D convolution
`static void` LibMatrixCuDNN.`conv2dBackwardData​(GPUContext gCtx, String instName, MatrixObject filter, MatrixObject dout, MatrixObject output, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, double intermediateMemoryBudget)` This method computes the backpropogation errors for previous layer of convolution operation
`static void` LibMatrixCuDNN.`conv2dBackwardFilter​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject dout, MatrixObject outputBlock, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, double intermediateMemoryBudget)` This method computes the backpropogation errors for filter of convolution operation
`static void` LibMatrixCuDNN.`conv2dBiasAdd​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject bias, MatrixObject filter, MatrixObject output, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, double intermediateMemoryBudget)` Does a 2D convolution followed by a bias_add
`static void` LibMatrixCUDA.`cos​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "cos" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`cosh​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "cosh" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`cumulativeScan​(ExecutionContext ec, GPUContext gCtx, String instName, String kernelFunction, MatrixObject in, String outputName)` Cumulative scan
`static void` LibMatrixCUDA.`cumulativeSumProduct​(ExecutionContext ec, GPUContext gCtx, String instName, String kernelFunction, MatrixObject in, String outputName)` Cumulative sum-product kernel cascade invokation
`static void` LibMatrixCUDA.`exp​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "exp" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`floor​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "floor" operation on a matrix on the GPU
`static jcuda.Pointer` LibMatrixCUDA.`getDensePointer​(GPUContext gCtx, MatrixObject input, String instName)` Convenience method to get jcudaDenseMatrixPtr.
`static jcuda.Pointer` LibMatrixCuDNN.`getDensePointerForCuDNN​(GPUContext gCtx, MatrixObject image, String instName, int numRows, int numCols)` Convenience method to get jcudaDenseMatrixPtr.
`static long` LibMatrixCUDA.`getNnz​(GPUContext gCtx, String instName, MatrixObject mo, boolean recomputeDenseNNZ)` Note: if the matrix is in dense format, it explicitly re-computes the number of nonzeros.
`static boolean` LibMatrixCUDA.`isInSparseFormat​(GPUContext gCtx, MatrixObject mo)`
`static void` LibMatrixCUDA.`log​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "log" operation on a matrix on the GPU

`static MatrixObject`

LibMatrixCuMatMult.`matmult​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject left, MatrixObject right, String outputName, boolean isLeftTransposed, boolean isRightTransposed)`

Matrix multiply on GPU Examines sparsity and shapes and routes call to appropriate method from cuBLAS or cuSparse C = op(A) x op(B) The user is expected to call ec.releaseMatrixOutputForGPUInstruction(outputName);

`static void` LibMatrixCUDA.`matmultTSMM​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject left, String outputName, boolean isLeftTransposed)` Performs tsmm, A %*% A' or A' %*% A, on GPU by exploiting cublasDsyrk(...)
`static void` LibMatrixCUDA.`matrixMatrixArithmetic​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, MatrixObject in2, String outputName, boolean isLeftTransposed, boolean isRightTransposed, BinaryOperator op)` Performs elementwise arithmetic operation specified by op of two input matrices in1 and in2
`static void` LibMatrixCUDA.`matrixMatrixRelational​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, MatrixObject in2, String outputName, BinaryOperator op)` Performs elementwise operation relational specified by op of two input matrices in1 and in2
`static void` LibMatrixCUDA.`matrixScalarArithmetic​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in, String outputName, boolean isInputTransposed, ScalarOperator op)` Entry point to perform elementwise matrix-scalar arithmetic operation specified by op
`static void` LibMatrixCUDA.`matrixScalarOp​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in, String outputName, boolean isInputTransposed, ScalarOperator op)` Utility to do matrix-scalar operation kernel
`static void` LibMatrixCUDA.`matrixScalarRelational​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in, String outputName, ScalarOperator op)` Entry point to perform elementwise matrix-scalar relational operation specified by op
`static void` LibMatrixCuDNN.`pooling​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject outputBlock, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, LibMatrixDNN.PoolingType poolingType, double intermediateMemoryBudget)` performs maxpooling on GPU by exploiting cudnnPoolingForward(...)

`static void`

LibMatrixCuDNN.`poolingBackward​(GPUContext gCtx, String instName, MatrixObject image, MatrixObject dout, MatrixObject maxpoolOutput, MatrixObject outputBlock, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, LibMatrixDNN.PoolingType poolingType, double intermediateMemoryBudget)`

Performs maxpoolingBackward on GPU by exploiting cudnnPoolingBackward(...) This method computes the backpropogation errors for previous layer of maxpooling operation

`static void` LibMatrixCUDA.`rbind​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, MatrixObject in2, String outputName)`
`static void` LibMatrixCuDNN.`relu​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in, String outputName)` Performs the relu operation on the GPU.
`static void` LibMatrixCUDA.`reluBackward​(GPUContext gCtx, String instName, MatrixObject input, MatrixObject dout, MatrixObject outputBlock)` This method computes the backpropagation errors for previous layer of relu operation
`static void` LibMatrixCUDA.`round​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "round" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`sigmoid​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "sigmoid" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`sign​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "sign" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`sin​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "sin" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`sinh​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "sinh" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`sliceOperations​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, IndexRange ixrange, String outputName)` Method to perform rightIndex operation for a given lower and upper bounds in row and column dimensions.
`static void` LibMatrixCuDNN.`softmax​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "softmax" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`solve​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, MatrixObject in2, String outputName)` Implements the "solve" function for systemds Ax = B (A is of size m*n, B is of size m*1, x is of size n*1)
`static void` LibMatrixCUDA.`sqrt​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "sqrt" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`tan​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "tan" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`tanh​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String outputName)` Performs an "tanh" operation on a matrix on the GPU
`static void` LibMatrixCUDA.`transpose​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in, String outputName)` Transposes the input matrix using cublasDgeam
`static void` LibMatrixCUDA.`unaryAggregate​(ExecutionContext ec, GPUContext gCtx, String instName, MatrixObject in1, String output, AggregateUnaryOperator op)` Entry point to perform Unary aggregate operations on the GPU.

Constructors in org.apache.sysds.runtime.matrix.data with parameters of type MatrixObject
`LibMatrixCuDNNInputRowFetcher​(GPUContext gCtx, String instName, MatrixObject image)` Initialize the input fetcher

### Uses of MatrixObject in org.apache.sysds.runtime.util

Methods in org.apache.sysds.runtime.util with parameters of type MatrixObject
`static ListObject` AutoDiff.`getBackward​(MatrixObject mo, ArrayList<Data> lineage, ExecutionContext adec)`
`static List<Data>` AutoDiff.`parseNComputeAutoDiffFromLineage​(MatrixObject mo, String mainTrace, ArrayList<String> names, ExecutionContext ec)`