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d5ce2f6944
Remove option of providing Technique and handling errors based on that choose a matrix type automatically based on number of data blocks. INTEL recommends on using cauchy for consistent invertible matrices, while vandermonde is faster we should default to cauchy for large data blocks.
56 lines
1.7 KiB
C
56 lines
1.7 KiB
C
/*
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* Minio Cloud Storage, (C) 2014 Minio, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <stdlib.h>
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#include <stdio.h>
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#include "ec.h"
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#include "ec_minio_common.h"
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/*
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Generate encode matrix during the encoding phase
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*/
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int32_t minio_init_encoder (int k, int m, unsigned char **encode_matrix, unsigned char **encode_tbls)
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{
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unsigned char *tmp_matrix;
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unsigned char *tmp_tbls;
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tmp_matrix = (unsigned char *) malloc (k * (k + m));
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tmp_tbls = (unsigned char *) malloc (k * (k + m) * 32);
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if (k < 5) {
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/*
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Commonly used method for choosing coefficients in erasure
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encoding but does not guarantee invertable for every sub
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matrix. For large k it is possible to find cases where the
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decode matrix chosen from sources and parity not in erasure
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are not invertable. Users may want to adjust for k > 5.
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-- Intel
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*/
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gf_gen_rs_matrix (tmp_matrix, k + m, k);
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} else {
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gf_gen_cauchy1_matrix (tmp_matrix, k + m, k);
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}
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ec_init_tables(k, m, &tmp_matrix[k * k], tmp_tbls);
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*encode_matrix = tmp_matrix;
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*encode_tbls = tmp_tbls;
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return 0;
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}
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