| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| #------------------------------------------------------------- |
| |
| |
| X = read($1); |
| N = 200; |
| |
| if( sum(X)<0 ) #cause unknown sparsity |
| X = matrix(1, rows=100000000, cols=ncol(X)); |
| |
| R = matrix(0, rows=ceil(nrow(X)/N), cols=1); |
| |
| parfor( bi in 1:ceil(nrow(X)/N), opt=CONSTRAINED, datapartitioner=$2, mode=$3, log=DEBUG) { |
| Xbi = X[((bi-1)*N+1):min(bi*N,nrow(X)),]; |
| print(sum(Xbi)); |
| R[bi,1] = sum(Xbi); |
| } |
| |
| write(R, $4); |