PATENT CLAIM ANALYSIS

Application Number: 16130467
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["718", "104000"]

Abstract:
A task allocating method for a reconfigurable processing system is provided by the present disclosure. The method includes determining a use status of a hardware processing resource of the reconfigurable processing system. The hardware processing resource includes m task channels and a reconfigurable computing array, and one task channel controls at least one operator in the reconfigurable computing array at a time to process one task. The number m is a positive integer and allocating a first task in n tasks to be processed according to the use status of the hardware processing resource, so that at least one task channel in the m task channels controls the reconfigurable computing array to process simultaneously at least one task which includes the first task, where the number n is a positive integer. A task allocating system for a reconfigurable processing system is also provided by the present disclosure.

Claim (Index 3):
The method according to  claim 2 , wherein the allocating the first task according to the use status of the hardware processing resource and the first operator resource to process the first task comprises:\n when an idle task channel is available in the at least one task channel, and when a current idle operator resource in the reconfigurable computing array matches the first operator resource, allocating the first task to the idle task channel such that the idle task channel controls the current idle operator resource to process the first task.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 97.0
- Lexical Diversity: 2.81818
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15621768', '15650608', '12866860', '13315382', '12332281']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4685215839186705
- 35 USC 102 Novelty (BERT): 0.5120663702137674
- Combined Prediction Score: 0.4728760625481802
- Mean Citation Score: 196.540044
- Max Citation Score: 221.8706
- Similarity Product: 167.88012869400978

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test