Systems and Methods for Efficient Data Preprocessing of Machine Learning Workloads
US-2024403138-A1 · Dec 5, 2024 · US
US8930867B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8930867-B2 |
| Application number | US-201314046207-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 4, 2013 |
| Priority date | Jan 26, 2009 |
| Publication date | Jan 6, 2015 |
| Grant date | Jan 6, 2015 |
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Scheduling of parallel processing for regionally-constrained object placement selects between different balancing schemes. For a small number of movebounds, computations are assigned by balancing the placeable objects. For a small number of objects per movebound, computations are assigned by balancing the movebounds. If there are large numbers of movebounds and objects per movebound, both objects and movebounds are balanced amongst the processors. For object balancing, movebounds are assigned to a processor until an amortized number of objects for the processor exceeds a first limit above an ideal number, or the next movebound would raise the amortized number of objects above a second, greater limit. For object and movebound balancing, movebounds are sorted into descending order, then assigned in the descending order to host processors in successive rounds while reversing the processor order after each round. The invention provides a schedule in polynomial-time while retaining high quality of results.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method of assigning computational loads for placement regions of an integrated circuit design to a plurality of host processors in a computer system, comprising: receiving a list of the placement regions and placeable objects associated with the placement regions by executing first instructions in the computer system; calculating an ideal number of placeable objects per processor by executing second instructions in the computer syste…
Physics · mapped topic
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Physics · mapped topic
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