site/_data/table.txt

|                    | Spark/Crail   | Spark/Vanilla |    Spark/Winner2014    | Tencent/Winner2016       |
|--------------------|---------------|---------------|------------------------|--------------------------|
| Data Size          |   12.8 TB     |      12.8 TB  |         100 TB         |            100 TB        |
| Elapsed Time       |    98 s       |       527 s   |        1406 s          |         98.8 s           |
| Cores              |     2560      |     2560      |        6592            |         10240            |
| Nodes              |    128        |   128         |         206            |           512            |
| Network            |   100 Gbit/sec|  100 Gbit/s   |       10 Gbit/s        |       100 Gbit/s         |
| Sorting rate       |  7.8 TB/min   |  1.4 TB/min   |      4.27 TB/min       |         44.78 TB/min     |
| Sorting rate/core  |  3.13 GB/min  |  0.58 GB/min  |      0.66 GB/min       |          4.4 GB/min      |

The natural follow-up question from these results is about a further breakdown that shows what part of the gains come from the Crail I/O, serializer and sorter. Such a breakdown cannot easily be obtained as in the built-in Spark shuffler these different phases are executed interleaved. 

table, th, td {
    border: 1px solid black;
}