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Performance questions, -inline, ...
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| Date: | -- (:) |
| From: | Kuba Ober <ober.14@o...> |
| Subject: | Performance questions, -inline, ... |
I haven't looked at assembly output yet, but I've run into some unexpected behavior in my benchmarks. This was compiled by ocamlopt -inline 100 -unsafe, the results and code are below (MIPS is obtained by dividing 50 million iterations by (Unix.times ()) . Unix.tms_utime it took to run). I haven't included the timing etc. code (it's part of a larger benchmark). What I wonder is why vector-to-vector add is so much faster than (constant) scalar to vector add. Vectors are preinitialized each time with a 1.0000, 1.0001, ... sequence. Also, the very bad performance from generic vector-to-vector *with* inlining is another puzzler, whereas generic add of scalar-to-scalar performs similarly to straight-coded one. Cheers, Kuba * add1: add scalar to scalar 120 MIPS * add3: add scalar to vector 250 MIPS * add5: add vector to vector 320 MIPS * add2: generic add scalar to scalar 100 MIPS * add4: generic add vector to vector 38 MIPS let start = 1.3 (* generic scalar operation *) let op1 op const nloop = let accum = ref start in for i = 1 to nloop do accum := op !accum const done (* generic vector operation *) let op2 op const a b (nloop : int) = let len = Array.length a in for j = 0 to len-1 do for i = 0 to len-1 do b.(i) <- op a.(i) b.(i) done; done (** addition **) let add1 nloop = let accum = ref start in for i = 1 to nloop do accum := !accum +. addconst done let add2 = op1 ( +. ) addconst let add3 a b nloop = let len = Array.length a in for j = 0 to len-1 do for i = 0 to len-1 do b.(i) <- a.(i) +. addconst done; done let add4 = op2 ( +. ) addconst let add5 a b nloop = let len = Array.length a in for j = 0 to len-1 do for i = 0 to len-1 do b.(i) <- a.(i) +. b.(i) done; done