Benchmarks
Dependencies Information :
- Hadoop 0.18.2
- Hbase 0.18.1
Hardware Information :
- 4 Intel(R) Xeon(R) CPU 2.33GHz, SATA hard disk, Physical Memory 16,626,844 KB
...
- Dense matrix add
- Dense matrix multiply
- Dense LU factorization
- Transpose
- Matrix tridiagonalization, for eigenvalue computations of symmetric matrices.
Version | Operation | Cluster Size | Rows | Columns | Total Maps | Total Reduces | Time (seconds) | Bytes Written | ||||||||
Trunk 712655 | Addition Add | 2 node | 1,000 | 1,000 | 2 | 2 | 17 seconds | 66,326,104 | Trunk 712655 | SIMDMult | 2 node | 300 | 300 | 2 | 2 | x |
x | Trunk 712655 | SIMDMult | 2 node | 200 | 200 | 10 | 1 | 41 seconds | 1,277,170,348 | |||||||
Trunk 712655 | SIMDMult | 2 node | 300 | 300 | 60 | 2 | 315 seconds | 7,070,789,092 | ||||||||
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712658 | Mult | Trunk 712658 | SIMDMult | 2 node | 300 | 300 | 2 | 2 | 181 seconds | 5,929,512 |
Trunk 712658 Version | SIMDMult Operation | 2 node Cluster Size | 200 Rows 200 | Columns 10 | Total Maps | 1 Total Reduces | 72 Time (seconds) | Bytes Read | Bytes Written 4,931,106 |
Trunk 712658 718158 | SIMDMult Mult | 2 node | 300 | 300 | 602 | 2 | 267 12 seconds | 16,507,848 |
Dependencies Information :
- Hadoop 0.18.2
- Hbase 0.18.1
Hardware Information :
1464484 | 2929092 |
- Dense LU factorization
- Transpose
- Matrix tridiagonalization, for eigenvalue computations of symmetric matrices.4 Intel(R) Xeon(R) CPU 2.33GHz, SATA hard disk, Physical Memory 16,626,844 KB