CPC G06F 15/7839 (2013.01) [G06F 7/5443 (2013.01); G06F 7/575 (2013.01); G06F 7/588 (2013.01); G06F 9/3001 (2013.01); G06F 9/30014 (2013.01); G06F 9/30036 (2013.01); G06F 9/3004 (2013.01); G06F 9/30043 (2013.01); G06F 9/30047 (2013.01); G06F 9/30065 (2013.01); G06F 9/30079 (2013.01); G06F 9/3887 (2013.01); G06F 9/5011 (2013.01); G06F 9/5077 (2013.01); G06F 12/0215 (2013.01); G06F 12/0238 (2013.01); G06F 12/0246 (2013.01); G06F 12/0607 (2013.01); G06F 12/0802 (2013.01); G06F 12/0804 (2013.01); G06F 12/0811 (2013.01); G06F 12/0862 (2013.01); G06F 12/0866 (2013.01); G06F 12/0871 (2013.01); G06F 12/0875 (2013.01); G06F 12/0882 (2013.01); G06F 12/0888 (2013.01); G06F 12/0891 (2013.01); G06F 12/0893 (2013.01); G06F 12/0895 (2013.01); G06F 12/0897 (2013.01); G06F 12/1009 (2013.01); G06F 12/128 (2013.01); G06F 15/8046 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06T 1/20 (2013.01); G06T 1/60 (2013.01); H03M 7/46 (2013.01); G06F 9/3802 (2013.01); G06F 9/3818 (2013.01); G06F 9/3867 (2013.01); G06F 2212/1008 (2013.01); G06F 2212/1021 (2013.01); G06F 2212/1044 (2013.01); G06F 2212/302 (2013.01); G06F 2212/401 (2013.01); G06F 2212/455 (2013.01); G06F 2212/60 (2013.01); G06N 3/08 (2013.01); G06T 15/06 (2013.01)] | 18 Claims |
1. A general-purpose graphics processing device comprising:
a general-purpose graphics processing compute block comprising a plurality of processing resources;
a computer-readable memory communicatively coupled to the plurality of processing resources;
a memory interface communicatively coupled to the computer-readable memory to generate memory access requests to the computer-readable memory; and
a data compression device communicatively coupled to the computer-readable memory, the data compression unit comprising a hardware processor to:
receive a data compression instruction for a memory segment of the computer-readable memory; and
in response to the data compression instruction, compress a sequence of identical memory values in response to a determination that the sequence of identical memory values has a length which exceeds a threshold, wherein the threshold varies as a function of a size of a layer of neural networking model to which the data applies.
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