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1 files changed, 50 insertions, 0 deletions

diff --git a/examples/cuda-chill/tmv.lua b/examples/cuda-chill/tmv.lua
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+++ b/examples/cuda-chill/tmv.lua
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+init("tmv.c","normalMV",0)
+dofile("cudaize.lua") --defines custom tile_by_index, copy_to_registers,
+                      --copy_to_shared methods
+
+N=1024
+--N= 8209
+--N=129
+TI=64
+N=1024
+TI=32
+--tile, "k" for the control loop for the "j" tile, with the final order
+--of {"ii", "k", "i", "j"}
+tile_by_index({"i","j"}, {TI,TI}, {l1_control="ii", l2_control="k"}, {"ii", "k", "i", "j"})
+--tile_by_index({"i"}, {TI}, {l1_control="ii"}, {"ii",  "i", "j"})
+--print_code()
+--tile_by_index({"i"}, {TI/32}, {l1_control="iii"}, {"ii", "k", "iii","i", "j"})
+
+--print_code()
+--Normalize indx will do a tile size of one over the loop level specified
+--by the input index. This is useful to get a zero lower bound and hard
+--upper bound on a loop instead of it being relative to previous loop
+--levels.
+--normalize_index("i")
+--print_code()
+
+--Cudaize now determines the grid dimentions from the loops themselves
+--(the upper bounds of the block and thread loops). It also renames the
+--given block and thread loops's indexes to the approviate values from
+--the set {"bx","by","tx","ty","tz"}. The second parameter specifies the
+--size of the arrays to be copied in the CUDA scaffolding.
+cudaize("tmv_GPU", {a=N, b=N, c=N*N},{block={"ii"}, thread={"i"}})
+
+--print_code()
+
+--Does a datacopy, tile, and add_sync to get a shared memory copy
+copy_to_shared("tx", "b", 1)
+--copy_to_texture("b")
+--print_code()
+
+copy_to_shared("tx", "c", -16)
+--copy_to_texture("c")
+--print_code()
+
+copy_to_registers("k", "a")
+print_code()
+--unroll(0,5,0)
+--unroll(0,4,0)
+--unroll(2,4,16)
+unroll_to_depth(1)
+--print_code()