![]() ![]() The command will list many files, but we’re only interested in the cpuinfo file, which happens to be inside the base directory. r-r-r- 1 root root 0 Jul 13 00:18 zoneinfo r-r-r- 1 root root 0 Jul 13 00:18 vmstat r-r-r- 1 root root 0 Jul 13 00:18 filesystemsĭr-xr-xr-x 5 root root 0 Jul 13 00:18 fs/ r-r-r- 1 root root 0 Jul 13 00:18 diskstats r-r-r- 1 root root 0 Jul 13 00:14 devices r-r-r- 1 root root 0 Jul 13 00:14 cpuinfo ![]() r-r-r- 1 root root 0 Jul 13 00:18 consoles Let’s see what’s inside the /proc directory: # ls -halF /proc total 4.0K We might need root access to read some of the virtual files. On most Linux distributions, virtual files are located in the /proc directory. Unlike a regular file, virtual files don’t take space on the disk and are only created when we read them. So, they’re kind of lenses through which we can peek at the running Linux kernel. By reading virtual files, we can see what the Linux kernel is doing at the moment. Type Rep CPU = D1 (' MetaData "CPU" "System.CPU" "cpuinfo-0.1.0.A virtual file is a special type of file available on Linux-based operating systems. ( Data d, Data e) => c (t d e)) -> Maybe (c CPU) # Data d => c (t d)) -> Maybe (c CPU) #ĭataCast2 :: Typeable t => ( forall d e. r -> c r) -> Constr -> c CPU #ĭataCast1 :: Typeable t => ( forall d. Data b => c (b -> r) -> c r) -> ( forall r. Data d => c (d -> b) -> d -> c b) -> ( forall g. Module is unable to provide information on your system please file a bug With a kernel from the 2.6 branch or later by reading /proc/cpuinfo. In its current state this module can only collect information from Linux systems True of numerical workloads, but as always benchmarking should be employed toĮvaluate the impact of different heuristics. There are in fact two logical cores for each physical core. Some workloads mayīenefit from, for example, using half the number of logical cores available if ![]() This package allows a program to use information about the physical and logicalįeatures of the available processors as a heuristic for selecting the number of ![]() Resources and the thread/spark workloads are similar, then this might be slower However, if each logical core does not have dedicated physical RTS to simply multiplex Haskell threads or sparks over the number of logicalĬores available. It is common for threaded Haskell programs to be run with +RTS -N, causing the Resources are doing the same sort of work there will be scheduling contentionįor a single type of execution resource on the physical core. This is because technologies providing supernumerary logicalĬores typically work by scheduling multiple threads in a shared pool ofĮxecution resources, e.g. Indeed, some parallel workloads may suffer a performance decrease ifĪll logical cores presented by the operating system do not have dedicated These additional logical cores increase the performance of some, but not all Two logical cores for every physical core present on a supported physical Intel's Hyper-Threading is an example of such a technology, capable of providing Modern hardware provides not only multiple physical processors and physicalĬores, but logical cores which may not have dedicated execution resources. This module provides information about the processors available on a system. ![]()
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