[SYSTEMDS-3541] Exploratory workload-aware compression on intermediates

Added a config option for aggressive compression and extended the compression workload analyzer to detect aggregation operations and binary matrix-vector operations when inputs are compressed as a single column group. Updated cost estimation for compression on already compressed inputs and removed scalars from compressible intermediate candidates. Added support for double compressed binary matrix-matrix operations and implemented both single-threaded and multithreaded compressed binary matrix-vector operations with single column group encoding. Removed the relaxed compression threshold and added a logging statement for potential improvements in compressed binary matrix-vector operations. Enabled always sampling for binary matrix-vector operations in CLALibBinaryCellOp, expanded test coverage, and introduced a new compression algorithm test case for k-means with intermediate compression enabled.
 I also extended the CLALibBinaryCellOp binary matrix-vector (sparse & dense) op task to support left and right operations.

src/main/java/org/apache/sysds/conf/DMLConfig.java

@@ -79,6 +79,7 @@ public class DMLConfig
 	public static final String PARALLEL_TOKENIZE = "sysds.parallel.tokenize";
 	public static final String PARALLEL_TOKENIZE_NUM_BLOCKS = "sysds.parallel.tokenize.numBlocks";
 	public static final String COMPRESSED_LINALG    = "sysds.compressed.linalg";
+	public static final String COMPRESSED_LINALG_INTERMEDIATE    = "sysds.compressed.linalg.intermediate";
 	public static final String COMPRESSED_LOSSY     = "sysds.compressed.lossy";
 	public static final String COMPRESSED_VALID_COMPRESSIONS = "sysds.compressed.valid.compressions";
 	public static final String COMPRESSED_OVERLAPPING = "sysds.compressed.overlapping"; 

src/main/java/org/apache/sysds/hops/rewrite/RewriteCompressedReblock.java

@@ -171,11 +171,12 @@ public static boolean satisfiesAggressiveCompressionCondition(Hop hop) {
 			satisfies |= HopRewriteUtils.isTernary(hop, OpOp3.CTABLE) 
 				&& hop.getInput(0).getDataType().isMatrix() 
 				&& hop.getInput(1).getDataType().isMatrix();
-			satisfies |= HopRewriteUtils.isData(hop, OpOpData.PERSISTENTREAD) && !hop.isScalar();
+			satisfies |= HopRewriteUtils.isData(hop, OpOpData.PERSISTENTREAD);
 			satisfies |= HopRewriteUtils.isUnary(hop, OpOp1.ROUND, OpOp1.FLOOR, OpOp1.NOT, OpOp1.CEIL);
 			satisfies |= HopRewriteUtils.isBinary(hop, OpOp2.EQUAL, OpOp2.NOTEQUAL, OpOp2.LESS,
 				OpOp2.LESSEQUAL, OpOp2.GREATER, OpOp2.GREATEREQUAL, OpOp2.AND, OpOp2.OR, OpOp2.MODULUS);
 			satisfies |= HopRewriteUtils.isTernary(hop, OpOp3.CTABLE);
+			satisfies &= !hop.isScalar();
 		}
 		if(LOG.isDebugEnabled() && satisfies)
 			LOG.debug("Operation Satisfies: " + hop);

src/main/java/org/apache/sysds/runtime/compress/CompressedMatrixBlockFactory.java

@@ -344,7 +344,8 @@ private void classifyPhase() {
 		// final int nRows = mb.getNumRows();
 		final int nCols = mb.getNumColumns();
 		// Assume the scaling of cocoding is at maximum square root good relative to number of columns.
-		final double scale = Math.sqrt(nCols);
+		final double scale = mb instanceof CompressedMatrixBlock &&
+				((CompressedMatrixBlock) mb).getColGroups().size() == 1 ? 1 : Math.sqrt(nCols);
 		final double threshold = _stats.estimatedCostCols / scale;
 
 		if(threshold < _stats.originalCost *