a <- matrix(1, 2e4, 2e4)
a[1] <- 2
library(bigstatsr)
X <- FBM(5e3, 50e3)
X[] <- rnorm(length(X))
X[1:5, 1:5]
y01 <- sample(0:1, size = nrow(X), replace = TRUE)
doParallel::registerDoParallel(1)
system.time(
test1 <- big_univLogReg(X, y01)
)
doParallel::registerDoParallel(2)
system.time(
test2 <- big_univLogReg(X, y01)
)
doParallel::registerDoParallel(3)
system.time(
test2 <- big_univLogReg(X, y01)
)
doMC::registerDoMC(2)
system.time(
test3 <- big_univLogReg(X, y01)
)
doMC::registerDoMC(3)
system.time(
test4 <- big_univLogReg(X, y01)
)
doMC::registerDoMC(4)
system.time(
test5 <- big_univLogReg(X, y01)
)
cl <- parallel::makeForkCluster(3)
doParallel::registerDoParallel(cl)
system.time(
test6 <- big_univLogReg(X, y01)
)
parallel::stopCluster(cl)
cl <- parallel::makeCluster(3)
doParallel::registerDoParallel(cl)
system.time(
test7 <- big_univLogReg(X, y01)
)
parallel::stopCluster(cl)
doParallel::registerDoParallel(4)
system.time(
test8 <- big_univLogReg(X, y01)
)
doMC::registerDoMC(4)
system.time(
test9 <- big_univLogReg(X, y01)
)
doParallel::registerDoParallel()
foreach::getDoParWorkers() # 2
options(cores = 3)
foreach::getDoParWorkers() # 3
system.time(
test10 <- big_univLogReg(X, y01)
)
options(cores = 1)
system.time(
test11 <- big_univLogReg(X, y01)
)
doParallel::registerDoParallel()
foreach::getDoParWorkers() # 1
for (i in 2:11) {
stopifnot(eval(parse(text = sprintf("all.equal(test1, test%d)", i))))
}
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