COMPUTER SYSTEMS&MOD MSGT/ET SA AC PKG
COMPUTER SYSTEMS&MOD MSGT/ET SA AC PKG
3rd Edition
ISBN: 9780134671123
Author: Bryant
Publisher: PEARSON
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Chapter 5.12, Problem 5.11PP
Program Plan Intro

Given Assembly code:

a in %rdi, i in %rax, cnt in %rdx

.L5:

vmovss -4(%rsi, %rax, 4), %xmm0

vaddss (%rdi, %rax, 4), %xmm0, %xmm0

vmovss %xmm0, (%rsi, %rax, 4)

addq $1, %rax

cmpq %rdx, %rax

jne .L5

Cycles per element (CPE):

  • The CPE denotes performance of program that helps in improving code.
  • It helps to understand detailed level loop performance for an iterative program.
  • It is appropriate for programs that use a repetitive computation.
  • The processor’s activity sequencing is controlled by a clock that provides regular signal of some frequency.

Memory aliasing:

  • It denotes a case where two pointers might designate to memory location that is same.
  • The compiler should assume that unlike pointers might be aliased for safe optimizations.
  • The program aspects that could limit chances for a compiler in generating optimized code denote optimization blockers.
  • If a compiler is unable to determine whether two pointers might be aliased, it should adopt that either case would be possible.
  • The possible optimization set is been limited in this case.

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here is example 7.6## Example 7.6 Suppose the sample population is χ 2 (2), which is non-normal but with same variance 4. ▶ Repeat the simulation, but replacing the N(0, 4) samples with χ 2 (2) samples. ▶ Calculate the empirical confidence level.(Empirical confidence level) n <- 20 alpha <- 0.05 UCL <- replicate(1000, expr = { x <- rchisq(n,df=2) (n-1)*var(x)/qchisq(alpha,df=n-1) }) sum(UCL >4) mean(UCL > 4) ## t.test function n <- 20 x <- rnorm(n,mean=2) result <- t.test(x,mu=1) result$statistic result$parameter result$p.value result$conf.int result$estimate
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