search for: divd

...d_G8RC_NOX0:%vreg1 400B %vreg19<def> = LD 40, %vreg0; mem:LD8[%arrayidx.5](tbaa=!4) G8RC:%vreg19 G8RC_and_G8RC_NOX0:%vreg0 416B %vreg20<def> = LD 40, %vreg1; mem:LD8[%arrayidx2.5](tbaa=!4) G8RC:%vreg20 G8RC_and_G8RC_NOX0:%vreg1 424B %vreg4<def> = DIVD %vreg2, %vreg3; G8RC:%vreg4,%vreg2,%vreg3 432B %vreg9<def> = DIVD %vreg7, %vreg8; G8RC:%vreg9,%vreg7,%vreg8 440B %vreg12<def> = DIVD %vreg10, %vreg11; G8RC:%vreg12,%vreg10,%vreg11 448B %vreg15<def> = DIVD %vreg13, %vreg14; G8RC:%vreg15,%vreg13,...

...t; 400B %vreg19<def> = LD 40, %vreg0; mem:LD8[%arrayidx.5](tbaa=!4) G8RC:%vreg19 G8RC_and_G8RC_NOX0:%vreg0 >> 416B %vreg20<def> = LD 40, %vreg1; mem:LD8[%arrayidx2.5](tbaa=!4) G8RC:%vreg20 G8RC_and_G8RC_NOX0:%vreg1 >> 424B %vreg4<def> = DIVD %vreg2, %vreg3; G8RC:%vreg4,%vreg2,%vreg3 >> 432B %vreg9<def> = DIVD %vreg7, %vreg8; G8RC:%vreg9,%vreg7,%vreg8 >> 440B %vreg12<def> = DIVD %vreg10, %vreg11; G8RC:%vreg12,%vreg10,%vreg11 >> 448B %vreg15<def> = DIVD %vreg13, %vreg14...

Hi, I'm a newbie when it comes to R, and I'm trying to figure out how to use vectorization as opposed to for loops. In particular, how can I create a function that is applied on each element of a row, but can access previous elements relative to that element? My problem: I want to calculate something like x[i] = x[i] / x[i - 1] for each element of a vector x: ex. x <- data.frame(a

There is bit space in Bitstream Header to put Huffman codes in. However, This space can take only 80 kinds of Huffman code set. And This space is divded into DC Huffman code set and AC Huffman set, and There are only 16 choices in each DC and AC Huffman code set. If we want to use this space, we find out best(or proper) performance 80 frequency counts(Huffman code sets) from tens thousands of frame. Dose anyone have an idea or algorithm to find...