linear algebra - Is matrix multiplication automatically done in parallel in Mathematica 9?

In good old Mathematica versions (5.2, 6.0), matrix multiplication was automatically done in parallel. For example, on an 8-core machine, define two square real matrices:

m1 = Table[Random[Real], {256}, {256}];
m2 = Table[Random[Real], {256}, {256}];

The total CPU time used in all cores to compute a dot product is:

Tsingle = Timing[m1.m2][[1]]

0.010999 Second

The real time needed for the calculation is:

Tparallel = AbsoluteTiming[m1.m2][[1]]

0.001546 Second

For large matrices, the ratio is almost equal to the number of cores (8):

Tsingle / Tparallel

7.114489004

Repeating the same calculation in newer Mathematica versions (8.0, 9.0) gives Tsingle equal to Tparallel, which seems to indicate that new Mathematica versions dropped automatic parallelization of the Dot command. Is this true?
I would be thankful if anyone can advise how to regain this functionality, i.e. compute Dot products in parallel (automatically or manually).

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plotting - Plot 4D data with color as 4th dimension

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plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....

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