search for: 0.4828

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2014 Sep 01
1
Correlation Matrix with a Covariate
R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =
2015 Feb 14
2
[LLVMdev] trunk's optimizer generates slower code than 3.5
Using the SciMark 2.0 code from http://math.nist.gov/scimark2/scimark2_1c.zip compiled with the same... make CFLAGS="-O3 -march=native" I am able to reproduce the 22% performance regression in the run time of the Sparse matmult benchmark. For 10 runs of the scimark2 benechmark, I get 998.439+/-0.4828 with the release llvm clang 3.5.1 compiler and 1217.363+/-1.1004 for the current
2015 Feb 14
2
[LLVMdev] trunk's optimizer generates slower code than 3.5
The regressions in the performance of generated code, introduced by the llvm 3.6 release, don't seem to be limited to this 8 queens puzzle" solver test case. See... http://www.phoronix.com/scan.php?page=article&item=llvm-clang-3.5-3.6-rc1&num=1 where a bit hit in the performance of the Sparse Matrix Multiply test of the SciMark v2.0 benchmark was observed as well as others.