Abstract: A sampling device capable of balancing workload among units in data parallel processing is provided. A sampling device includes priority assignment method S201 that assigns higher priority to units with more remaining workload, priority-aware scheduling method S202-S204 that enables units with higher priority to do the sampling and model update when conflict happens, a modified priority-aware scheduling method shown as FIG. 10 that reduces scheduling overhead by re-assigning priority every several iterations, and another modified priority-aware scheduling method shown as FIG. 12 that explores different priority re-assignment frequency and stores the sorted sequences in memory.

Abstract: The invention, in part, relates to ChIA-Drop methods, which comprise methods of drop-based sequencing.

Abstract: The invention, in part, relates to ChIA-Drop methods, which comprise methods of drop-based sequencing.