Explore the Go language performance framework and thrash the cache in style.
Traditionally the best language to implement command-line interface (CLI) shell utilities in Linux was Perl [1] – primarily because of its large collection of pre-existing modules, a resource unparalleled at the time called CPAN [2]. Things have since changed, with Perl's popularity steadily declining in the eyes of developers and other languages rising to produce comparably large module libraries, as in Python [3] or Node [4].
Recent books have been published about writing shell commands in Rust [5], Python [6], Node.js [7], and even Go [8], and it is into this last language's interesting performance testing facilities I shall delve deeper. Go famously includes a testing framework, but perhaps less well known is its equally impressive built-in performance testing facility.
To start, the directories should be set up as presented in Figure 1, with the project row.go detailed in Listing 1.
Listing 1
row.go
01 package main
02
03 func main() {
04
05 const size = 10
06
07 var array = [size][size]int {{0},{0},}
08
09 for i := 0; i < size; i++ {
10 for j := 0; j < size; j++ {
11 array[i][j]++
12 }
13 }
14
15 }
...
Use Express-Checkout link below to read the full article (PDF).
To reduce the possibility of disk thrashing, optimize your data cache through spatial locality and cache-friendly algorithms and utilize fully the data loaded from slower storage media before moving on.
The Python Data Analysis Library, or Pandas, is built on top of the fast math library NumPy and makes analysis of large volumes of data an easy and efficient experience.
The Python Data Analysis Library, or Pandas, is built on top of the fast math library NumPy and makes analysis of large volumes of data an easy and efficient experience.
Hardware RAID controllers are optimized for the I/O characteristics of hard disks; however, the different characteristics of SSDs require optimized RAID controllers and RAID settings.