Repository: incubator-systemml
Updated Branches:
  refs/heads/master dd373ee01 -> 56e6b6e94


[MINOR] Fix gpu backend compiler warnings and javadoc issues

Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-systemml/commit/56e6b6e9
Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml/tree/56e6b6e9
Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml/diff/56e6b6e9

Branch: refs/heads/master
Commit: 56e6b6e94f6f98ab5152b2eb633f7d93a6cab1e6
Parents: dd373ee
Author: Matthias Boehm <mboe...@gmail.com>
Authored: Sat Apr 22 16:17:38 2017 -0700
Committer: Matthias Boehm <mboe...@gmail.com>
Committed: Sat Apr 22 16:17:38 2017 -0700

----------------------------------------------------------------------
 .../java/org/apache/sysml/api/DMLScript.java    |  4 +--
 .../gpu/AggregateUnaryGPUInstruction.java       |  1 -
 .../gpu/ConvolutionGPUInstruction.java          |  1 -
 .../instructions/gpu/MMTSJGPUInstruction.java   |  1 -
 .../gpu/MatrixBuiltinGPUInstruction.java        |  1 -
 .../MatrixMatrixArithmeticGPUInstruction.java   |  1 -
 .../gpu/MatrixMatrixAxpyGPUInstruction.java     |  1 -
 .../instructions/gpu/ReorgGPUInstruction.java   |  1 -
 .../instructions/gpu/context/CSRPointer.java    | 23 ++++++++------
 .../instructions/gpu/context/GPUContext.java    |  8 +++--
 .../gpu/context/GPUContextPool.java             |  2 ++
 .../instructions/gpu/context/GPUObject.java     | 33 +++++++++++++-------
 .../instructions/gpu/context/JCudaKernels.java  |  4 +--
 .../runtime/matrix/data/LibMatrixCUDA.java      |  3 +-
 .../runtime/matrix/data/LibMatrixReorg.java     |  1 +
 .../runtime/matrix/data/SparseBlockCSR.java     |  2 +-
 .../test/integration/AutomatedTestBase.java     |  4 ---
 17 files changed, 51 insertions(+), 40 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/api/DMLScript.java
----------------------------------------------------------------------
diff --git a/src/main/java/org/apache/sysml/api/DMLScript.java 
b/src/main/java/org/apache/sysml/api/DMLScript.java
index febbf13..ab059a0 100644
--- a/src/main/java/org/apache/sysml/api/DMLScript.java
+++ b/src/main/java/org/apache/sysml/api/DMLScript.java
@@ -845,11 +845,11 @@ public class DMLScript
                        ec = ExecutionContextFactory.createContext(rtprog);
                        if (DMLScript.USE_ACCELERATOR && ec != null){
                                gCtx = GPUContextPool.getFromPool();
-                               gCtx.initializeThread();
-                               ec.setGPUContext(gCtx);
                                if (gCtx == null) {
                                        throw new DMLRuntimeException("GPU : 
Could not create GPUContext, either no GPU or all GPUs currently in use");
                                }
+                               gCtx.initializeThread();
+                               ec.setGPUContext(gCtx);
                        }
                        rtprog.execute( ec );  
                        

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/AggregateUnaryGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/AggregateUnaryGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/AggregateUnaryGPUInstruction.java
index bfe30f9..8bdd397 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/AggregateUnaryGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/AggregateUnaryGPUInstruction.java
@@ -27,7 +27,6 @@ import org.apache.sysml.runtime.functionobjects.ReduceCol;
 import org.apache.sysml.runtime.functionobjects.ReduceRow;
 import org.apache.sysml.runtime.instructions.InstructionUtils;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.AggregateUnaryOperator;
 import org.apache.sysml.runtime.matrix.operators.Operator;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/ConvolutionGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/ConvolutionGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/ConvolutionGPUInstruction.java
index e806f3b..497b182 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/ConvolutionGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/ConvolutionGPUInstruction.java
@@ -26,7 +26,6 @@ import 
org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
 import org.apache.sysml.runtime.functionobjects.SwapIndex;
 import org.apache.sysml.runtime.instructions.InstructionUtils;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.ReorgOperator;
 import org.apache.sysml.runtime.util.ConvolutionUtils;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/MMTSJGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MMTSJGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MMTSJGPUInstruction.java
index af97141..c147a6f 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MMTSJGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MMTSJGPUInstruction.java
@@ -32,7 +32,6 @@ import 
org.apache.sysml.runtime.controlprogram.caching.MatrixObject;
 import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
 import org.apache.sysml.runtime.instructions.InstructionUtils;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.Operator;
 import org.apache.sysml.utils.GPUStatistics;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixBuiltinGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixBuiltinGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixBuiltinGPUInstruction.java
index 3fc8a98..ce25dec 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixBuiltinGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixBuiltinGPUInstruction.java
@@ -23,7 +23,6 @@ import org.apache.sysml.runtime.DMLRuntimeException;
 import org.apache.sysml.runtime.controlprogram.caching.MatrixObject;
 import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.Operator;
 import org.apache.sysml.utils.GPUStatistics;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixArithmeticGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixArithmeticGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixArithmeticGPUInstruction.java
index a1520a9..9573a1a 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixArithmeticGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixArithmeticGPUInstruction.java
@@ -23,7 +23,6 @@ import org.apache.sysml.runtime.DMLRuntimeException;
 import org.apache.sysml.runtime.controlprogram.caching.MatrixObject;
 import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.BinaryOperator;
 import org.apache.sysml.runtime.matrix.operators.Operator;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixAxpyGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixAxpyGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixAxpyGPUInstruction.java
index 28254c6..58905d6 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixAxpyGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/MatrixMatrixAxpyGPUInstruction.java
@@ -26,7 +26,6 @@ import 
org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
 import org.apache.sysml.runtime.instructions.InstructionUtils;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
 import org.apache.sysml.runtime.instructions.cp.ScalarObject;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.Operator;
 import org.apache.sysml.utils.GPUStatistics;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/ReorgGPUInstruction.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/ReorgGPUInstruction.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/ReorgGPUInstruction.java
index 424a2c5..53d56a3 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/ReorgGPUInstruction.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/ReorgGPUInstruction.java
@@ -25,7 +25,6 @@ import 
org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
 import org.apache.sysml.runtime.functionobjects.SwapIndex;
 import org.apache.sysml.runtime.instructions.InstructionUtils;
 import org.apache.sysml.runtime.instructions.cp.CPOperand;
-import org.apache.sysml.runtime.instructions.gpu.context.GPUContext;
 import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
 import org.apache.sysml.runtime.matrix.operators.Operator;
 import org.apache.sysml.runtime.matrix.operators.ReorgOperator;

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/CSRPointer.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/CSRPointer.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/CSRPointer.java
index c25bd22..ef549a1 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/CSRPointer.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/CSRPointer.java
@@ -86,25 +86,25 @@ public class CSRPointer {
     allocateMatDescrPointer();
   }
 
-  private Pointer allocate(String instName, long size) throws 
DMLRuntimeException {
-    return getGPUContext().allocate(instName, size);
-  }
+//  private Pointer allocate(String instName, long size) throws 
DMLRuntimeException {
+//    return getGPUContext().allocate(instName, size);
+//  }
 
   private Pointer allocate(long size) throws DMLRuntimeException {
     return getGPUContext().allocate(size);
   }
 
-  private void cudaFreeHelper(Pointer toFree) throws DMLRuntimeException {
-    getGPUContext().cudaFreeHelper(toFree);
-  }
+//  private void cudaFreeHelper(Pointer toFree) throws DMLRuntimeException {
+//    getGPUContext().cudaFreeHelper(toFree);
+//  }
 
   private void cudaFreeHelper(Pointer toFree, boolean eager) throws 
DMLRuntimeException {
     getGPUContext().cudaFreeHelper(toFree, eager);
   }
 
-  private void cudaFreeHelper(String instName, Pointer toFree, boolean eager) 
throws DMLRuntimeException {
-    getGPUContext().cudaFreeHelper(instName, toFree, eager);
-  }
+//  private void cudaFreeHelper(String instName, Pointer toFree, boolean 
eager) throws DMLRuntimeException {
+//    getGPUContext().cudaFreeHelper(instName, toFree, eager);
+//  }
 
   private static long getDoubleSizeOf(long numElems) {
     return numElems * ((long)jcuda.Sizeof.DOUBLE);
@@ -235,6 +235,7 @@ public class CSRPointer {
    * Estimates the number of non-zero elements from the result of a sparse 
matrix multiplication C = A * B
    * and returns the {@link CSRPointer} to C with the appropriate GPU memory.
    *
+   * @param gCtx ?
    * @param handle a valid {@link cusparseHandle}
    * @param A      Sparse Matrix A on GPU
    * @param transA 'T' if A is to be transposed, 'N' otherwise
@@ -298,6 +299,7 @@ public class CSRPointer {
   /**
    * Factory method to allocate an empty CSR Sparse matrix on the GPU
    *
+   * @param gCtx ?
    * @param nnz2 number of non-zeroes
    * @param rows number of rows
    * @return a {@link CSRPointer} instance that encapsulates the CSR matrix on 
GPU
@@ -449,6 +451,8 @@ public class CSRPointer {
 
   /**
    * Calls cudaFree lazily on the allocated {@link Pointer} instances
+   * 
+   * @throws DMLRuntimeException ?
    */
   public void deallocate() throws DMLRuntimeException {
     deallocate(false);
@@ -458,6 +462,7 @@ public class CSRPointer {
    * Calls cudaFree lazily or eagerly on the allocated {@link Pointer} 
instances
    *
    * @param eager whether to do eager or lazy cudaFrees
+   * @throws DMLRuntimeException ?
    */
   public void deallocate(boolean eager) throws DMLRuntimeException {
     if (nnz > 0) {

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContext.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContext.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContext.java
index 708f291..d6f3a71 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContext.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContext.java
@@ -155,7 +155,6 @@ public class GPUContext {
     cudaSetDevice(deviceNum);
   }
 
-  @SuppressWarnings("unused")
   public static int cudaGetDevice() {
     int[] device = new int[1];
     JCuda.cudaGetDevice(device);
@@ -492,6 +491,7 @@ public class GPUContext {
    * Gets the device properties for the active GPU (set with cudaSetDevice())
    *
    * @return the device properties
+   * @throws DMLRuntimeException ?
    */
   public cudaDeviceProp getGPUProperties() throws DMLRuntimeException {
     return GPUContextPool.getGPUProperties(deviceNum);
@@ -501,6 +501,7 @@ public class GPUContext {
    * Gets the maximum number of threads per block for "active" GPU
    *
    * @return the maximum number of threads per block
+   * @throws DMLRuntimeException ?
    */
   public int getMaxThreadsPerBlock() throws DMLRuntimeException {
     cudaDeviceProp deviceProps = getGPUProperties();
@@ -511,6 +512,7 @@ public class GPUContext {
    * Gets the maximum number of blocks supported by the active cuda device
    *
    * @return the maximum number of blocks supported
+   * @throws DMLRuntimeException ?
    */
   public int getMaxBlocks() throws DMLRuntimeException {
     cudaDeviceProp deviceProp = getGPUProperties();
@@ -521,6 +523,7 @@ public class GPUContext {
    * Gets the shared memory per block supported by the active cuda device
    *
    * @return the shared memory per block
+   * @throws DMLRuntimeException ?
    */
   public long getMaxSharedMemory() throws DMLRuntimeException {
     cudaDeviceProp deviceProp = getGPUProperties();
@@ -531,6 +534,7 @@ public class GPUContext {
    * Gets the warp size supported by the active cuda device
    *
    * @return the warp size
+   * @throws DMLRuntimeException ?
    */
   public int getWarpSize() throws DMLRuntimeException {
     cudaDeviceProp deviceProp = getGPUProperties();
@@ -574,7 +578,7 @@ public class GPUContext {
   /**
    * Clears all memory used by this {@link GPUContext}
    * Be careful to ensure that no memory is currently being used before 
invoking this
-   * @throws DMLRuntimeException
+   * @throws DMLRuntimeException ?
    */
   public void clearMemory() throws DMLRuntimeException {
     while (allocatedGPUObjects.isEmpty()) {

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContextPool.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContextPool.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContextPool.java
index 6452651..1d0b5c8 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContextPool.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUContextPool.java
@@ -61,6 +61,7 @@ public class GPUContextPool {
    * Also sets behaviour for J{Cuda, Cudnn, Cublas, Cusparse} in case of error
    * Initializes the CUDA driver
    * All these need be done once, and not per GPU
+   * @throws DMLRuntimeException ?
    */
   public synchronized static void initializeGPU() throws DMLRuntimeException {
     GPUContext.LOG.info("Initializing CUDA");
@@ -109,6 +110,7 @@ public class GPUContextPool {
   /**
    * Gets an initialized GPUContext from a pool of GPUContexts, each linked to 
a GPU
    * @return null if not more GPUContexts in pool, a valid GPUContext otherwise
+   * @throws DMLRuntimeException ?
    */
   public static synchronized GPUContext getFromPool() throws 
DMLRuntimeException {
     if (!initialized) initializeGPU();

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUObject.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUObject.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUObject.java
index 3a1fafa..dd5ba41 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUObject.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/GPUObject.java
@@ -96,9 +96,9 @@ public class GPUObject {
        /** Enclosing {@link MatrixObject} instance */
        protected MatrixObject mat = null;
 
-       private Pointer allocate(String instName, long size) throws 
DMLRuntimeException {
-               return getGPUContext().allocate(instName, size);
-       }
+//     private Pointer allocate(String instName, long size) throws 
DMLRuntimeException {
+//             return getGPUContext().allocate(instName, size);
+//     }
 
        private Pointer allocate(long size) throws DMLRuntimeException {
                return getGPUContext().allocate(size);
@@ -108,9 +108,9 @@ public class GPUObject {
                getGPUContext().cudaFreeHelper(toFree);
        }
 
-       private void cudaFreeHelper(Pointer toFree, boolean eager) throws 
DMLRuntimeException {
-               getGPUContext().cudaFreeHelper(toFree, eager);
-       }
+//     private void cudaFreeHelper(Pointer toFree, boolean eager) throws 
DMLRuntimeException {
+//             getGPUContext().cudaFreeHelper(toFree, eager);
+//     }
 
        private void cudaFreeHelper(String instName, Pointer toFree, boolean 
eager) throws DMLRuntimeException {
                getGPUContext().cudaFreeHelper(instName, toFree, eager);
@@ -200,7 +200,6 @@ public class GPUObject {
         * @return the debug string
         * @throws DMLRuntimeException  if DMLRuntimeException occurs
         */
-       @SuppressWarnings("unused")
        public static String debugString(Pointer A, long rows, long cols) 
throws DMLRuntimeException {
                StringBuffer sb = new StringBuffer();
                int len = toIntExact(rows * cols);
@@ -230,6 +229,8 @@ public class GPUObject {
         * Make sure to call {@link #addReadLock()} after this to set 
appropriate state, if you are not sure what you are doing.
         * Needed for operations like {@link 
JCusparse#cusparseDcsrgemm(cusparseHandle, int, int, int, int, int, 
cusparseMatDescr, int, Pointer, Pointer, Pointer, cusparseMatDescr, int, 
Pointer, Pointer, Pointer, cusparseMatDescr, Pointer, Pointer, Pointer)}
         * @param sparseMatrixPtr CSR (compressed sparse row) pointer
+        * 
+        * @throws DMLRuntimeException ?
         */
        public void setSparseMatrixCudaPointer(CSRPointer sparseMatrixPtr) 
throws DMLRuntimeException {
                this.jcudaSparseMatrixPtr = sparseMatrixPtr;
@@ -245,6 +246,7 @@ public class GPUObject {
         * Make sure to call {@link #addReadLock()} after this to set 
appropriate state, if you are not sure what you are doing.
         *
         * @param densePtr dense pointer
+        * @throws DMLRuntimeException ?
         */
        public void setDenseMatrixCudaPointer(Pointer densePtr) throws 
DMLRuntimeException{
                this.jcudaDenseMatrixPtr = densePtr;
@@ -543,7 +545,7 @@ public class GPUObject {
        /**
         * if the data is allocated on the GPU and is dirty, it is copied back 
to the host memory
         * @return true if a copy to host happened, false otherwise
-        * @throws CacheException
+        * @throws CacheException ?
         */
        public boolean acquireHostRead() throws CacheException {
                boolean copied = false;
@@ -825,17 +827,26 @@ public class GPUObject {
 
        }
 
-       /** Pointer to dense matrix */
+       /** 
+        * Pointer to dense matrix 
+        * @return ?
+        */
        public Pointer getJcudaDenseMatrixPtr() {
                return jcudaDenseMatrixPtr;
        }
 
-       /** Pointer to sparse matrix */
+       /** 
+        * Pointer to sparse matrix
+        * @return ?
+        */
        public CSRPointer getJcudaSparseMatrixPtr() {
                return jcudaSparseMatrixPtr;
        }
 
-       /** Whether this block is dirty on the GPU */
+       /** 
+        * Whether this block is dirty on the GPU 
+        * @return ?
+        */
        public boolean isDirty() {
                return dirty;
        }

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/JCudaKernels.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/JCudaKernels.java
 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/JCudaKernels.java
index b4cb87d..ac11df9 100644
--- 
a/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/JCudaKernels.java
+++ 
b/src/main/java/org/apache/sysml/runtime/instructions/gpu/context/JCudaKernels.java
@@ -48,7 +48,7 @@ public class JCudaKernels {
        private final static String ptxFileName = "/kernels/SystemML.ptx";
        private HashMap<String, CUfunction> kernels = new HashMap<String, 
CUfunction>();
        private CUmodule module;
-       private final int deviceNum;
+//     private final int deviceNum;
        
        /**
         * Loads the kernels in the file ptxFileName. Though cubin files are 
also supported, we will stick with
@@ -57,7 +57,7 @@ public class JCudaKernels {
         * @throws DMLRuntimeException if DMLRuntimeException occurs
         */
        JCudaKernels(int deviceNum) throws DMLRuntimeException {
-               this.deviceNum = deviceNum;
+//             this.deviceNum = deviceNum;
                module = new CUmodule();
                // Load the kernels specified in the ptxFileName file
                checkResult(cuModuleLoadDataEx(module, 
initKernels(ptxFileName), 0, new int[0], Pointer.to(new int[0])));

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixCUDA.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixCUDA.java 
b/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixCUDA.java
index 3c32137..9ddd87a 100644
--- a/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixCUDA.java
+++ b/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixCUDA.java
@@ -56,7 +56,6 @@ import static jcuda.jcusparse.JCusparse.cusparseDcsrgemm;
 import static jcuda.jcusparse.JCusparse.cusparseDcsrmv;
 import static 
jcuda.jcusparse.cusparseOperation.CUSPARSE_OPERATION_NON_TRANSPOSE;
 import static jcuda.jcusparse.cusparseOperation.CUSPARSE_OPERATION_TRANSPOSE;
-import static jcuda.runtime.JCuda.cudaDeviceSynchronize;
 import static jcuda.runtime.JCuda.cudaMemcpy;
 import static jcuda.runtime.cudaMemcpyKind.cudaMemcpyDeviceToDevice;
 import static jcuda.runtime.cudaMemcpyKind.cudaMemcpyDeviceToHost;
@@ -2810,7 +2809,7 @@ public class LibMatrixCUDA {
                        if (GPUStatistics.DISPLAY_STATISTICS) 
GPUStatistics.maintainCPMiscTimes(instName, 
GPUInstruction.MISC_TIMER_SPARSE_ALLOCATE_LIB, System.nanoTime() - t1);
 
                        out.getGPUObject(gCtx).setSparseMatrixCudaPointer(C);
-                       long sizeOfC = CSRPointer.estimateSize(C.nnz, 
out.getNumRows());
+                       //long sizeOfC = CSRPointer.estimateSize(C.nnz, 
out.getNumRows());
                        out.getGPUObject(gCtx).addReadLock();
                        if (GPUStatistics.DISPLAY_STATISTICS) t0 = 
System.nanoTime();
                        JCusparse.cusparseDcsrgeam(getCusparseHandle(gCtx), m, 
n, alphaPtr, A.descr, (int)A.nnz, A.val, A.rowPtr, A.colInd, betaPtr,

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixReorg.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixReorg.java 
b/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixReorg.java
index edf69c1..bfaf4c8 100644
--- a/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixReorg.java
+++ b/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixReorg.java
@@ -642,6 +642,7 @@ public class LibMatrixReorg
         * @param rows ?
         * @param cast ?
         * @param ignore ?
+        * @param k degree of parallelism
         * @return output matrix
         * @throws DMLRuntimeException if DMLRuntimeException occurs
         */

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/main/java/org/apache/sysml/runtime/matrix/data/SparseBlockCSR.java
----------------------------------------------------------------------
diff --git 
a/src/main/java/org/apache/sysml/runtime/matrix/data/SparseBlockCSR.java 
b/src/main/java/org/apache/sysml/runtime/matrix/data/SparseBlockCSR.java
index 9ddff9e..a4e680d 100644
--- a/src/main/java/org/apache/sysml/runtime/matrix/data/SparseBlockCSR.java
+++ b/src/main/java/org/apache/sysml/runtime/matrix/data/SparseBlockCSR.java
@@ -171,7 +171,7 @@ public class SparseBlockCSR extends SparseBlock
         * 
         * @param nnz number of non-zeros to read
         * @param in data input stream of ijv triples, ordered by ij
-        * @throws IOException
+        * @throws IOException if deserialization error occurs
         */
        public void initUltraSparse(int nnz, DataInput in) 
                throws IOException 

http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/56e6b6e9/src/test/java/org/apache/sysml/test/integration/AutomatedTestBase.java
----------------------------------------------------------------------
diff --git 
a/src/test/java/org/apache/sysml/test/integration/AutomatedTestBase.java 
b/src/test/java/org/apache/sysml/test/integration/AutomatedTestBase.java
index b20f66a..d1cba1d 100644
--- a/src/test/java/org/apache/sysml/test/integration/AutomatedTestBase.java
+++ b/src/test/java/org/apache/sysml/test/integration/AutomatedTestBase.java
@@ -65,10 +65,6 @@ import org.apache.sysml.runtime.util.MapReduceTool;
 import org.apache.sysml.test.utils.TestUtils;
 import org.apache.sysml.utils.ParameterBuilder;
 import org.apache.sysml.utils.Statistics;
-import org.apache.wink.json4j.JSONObject;
-import org.junit.After;
-import org.junit.Assert;
-import org.junit.Before;
 
 
 /**

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