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<?xml version="1.0" encoding="UTF-8"?>
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<chapter id="mm">
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  <?dbhtml filename="mm.html"?>
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  <title>Memory management</title>
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  <section>
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    <title>Virtual memory management</title>
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    <section>
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      <title>Introduction</title>
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      <para>Virtual memory is a special memory management technique, used by
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      kernel to achieve a bunch of mission critical goals. <itemizedlist>
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          <listitem>
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             Isolate each task from other tasks that are running on the system at the same time.
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          </listitem>
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          <listitem>
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             Allow to allocate more memory, than is actual physical memory size of the machine.
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          </listitem>
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          <listitem>
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             Allowing, in general, to load and execute two programs that are linked on the same address without complicated relocations.
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          </listitem>
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        </itemizedlist></para>
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      <para><!--
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                TLB shootdown ASID/ASID:PAGE/ALL.
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                TLB shootdown requests can come in asynchroniously
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                so there is a cache of TLB shootdown requests. Upon cache overflow TLB shootdown ALL is executed
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                <para>
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                        Address spaces. Address space area (B+ tree). Only for uspace. Set of syscalls (shrink/extend etc).
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                        Special address space area type - device - prohibits shrink/extend syscalls to call on it.
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                        Address space has link to mapping tables (hierarchical - per Address space, hash - global tables).
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                </para>
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--></para>
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    </section>
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    <section>
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      <title>Paging</title>
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      <para>Virtual memory is usually using paged memory model, where virtual
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      memory address space is divided into the <emphasis>pages</emphasis>
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      (usually having size 4096 bytes) and physical memory is divided into the
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      frames (same sized as a page, of course). Each page may be mapped to
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      some frame and then, upon memory access to the virtual address, CPU
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      performs <emphasis>address translation</emphasis> during the instruction
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      execution. Non-existing mapping generates page fault exception, calling
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      kernel exception handler, thus allowing kernel to manipulate rules of
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      memory access. Information for pages mapping is stored by kernel in the
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      <link linkend="page_tables">page tables</link></para>
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      <para>The majority of the architectures use multi-level page tables,
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      which means need to access physical memory several times before getting
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      physical address. This fact would make serios performance overhead in
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      virtual memory management. To avoid this <link linkend="tlb">Traslation
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      Lookaside Buffer (TLB)</link> is used.</para>
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      <para>At the moment HelenOS does not support swapping.</para>
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      <para>- pouzivame vypadky stranky k alokaci ramcu on-demand v ramci
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      as_area - na architekturach, ktere to podporuji, podporujeme non-exec
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      stranky</para>
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    </section>
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    <section>
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      <title>Address spaces</title>
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      <section>
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        <title>Address spaces and areas</title>
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        <para>- adresovy prostor se sklada z tzv. address space areas
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        usporadanych v B+stromu; tyto areas popisuji vyuzivane casti
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        adresoveho prostoru patrici do user address space. Kazda cast je dana
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        svoji bazovou adresou, velikosti a flagy (rwx/dd).</para>
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        <para>- uzivatelske thready maji moznost manipulovat se svym adresovym
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        prostorem (vytvaret/resizovat/sdilet) as_areas pomoci syscallu</para>
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      </section>
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      <section>
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        <title>Address Space ID (ASID)</title>
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        <para>- nektery hardware umoznuje rozlisit ruzne adresove prostory od
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        sebe (cilem je maximalizovat vyuziti TLB); dela to tak, ze s kazdou
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        polozkou TLB/strankovacich tabulek sdruzi identifikator adresoveho
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        prostoru (ASID, RID, ppc32 ???). Tyto id mivaji ruznou sirku: 8-bitu
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        az 24-bitu (kolik ma ppc32?)</para>
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        <para>- kernel tomu rozumi a sam pouziva abstrakci ASIDu (na ia64 to
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        je napr. cislo odvozene od RIDu, na mips32 to je ASID samotny);
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        existence ASIDu je nutnou podminkou pouziti _global_ page hash table
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        mechanismu.</para>
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        <para>- na vsech arch. plati, ze asidu je mnohem mene, nez teoreticky
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        pocet soucasne bezicich tasku ~ adresovych prostoru, takze je
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        implementovan mechanismus, ktery umoznuje jednomu adresovemu prostoru
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        ASID odebrat a pridelit ho jinemu</para>
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        <para>- vztah task ~ adresovy prostor: teoreticky existuje moznost, ze
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        je adresovy prostor sdilen vice tasky, avsak tuto moznost nepouzivame
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        a neni ani nijak osetrena. Tim padem plati, ze kazdy task ma vlastni
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        adresovy prostor</para>
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      </section>
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    </section>
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    <section>
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      <title>Virtual address translation</title>
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      <section id="page_tables">
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        <title>Page tables</title>
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        <para>HelenOS kernel has two different approaches to the paging
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        implementation: <emphasis>4 level page tables</emphasis> and
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        <emphasis>global hash tables</emphasis>, which are accessible via
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        generic paging abstraction layer. This division was caused by the
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        major architectural differences between different platforms.</para>
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        <formalpara>
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          <title>4-level page tables</title>
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          <para>4-level page tables are the generalization of the hardware
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          capabilities of the certain platforms. <itemizedlist>
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              <listitem>
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                 ia32 uses 2-level page tables, with full hardware support.
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              </listitem>
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              <listitem>
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                 amd64 uses 4-level page tables, also coming with full hardware support.
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              </listitem>
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              <listitem>
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                 mips and ppc32 have 2-level tables, software simulated support.
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              </listitem>
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            </itemizedlist></para>
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        </formalpara>
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        <formalpara>
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          <title>Global hash tables</title>
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          <para>- global page hash table: existuje jen jedna v celem systemu
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          (vyuziva ji ia64), pozn. ia64 ma zatim vypnuty VHPT. Pouziva se
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          genericke hash table s oddelenymi collision chains</para>
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        </formalpara>
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        <para>Thanks to the abstract paging interface, there is possibility
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        left have more paging implementations, for example B-Tree page
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        tables.</para>
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      </section>
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      <section id="tlb">
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        <title>Translation Lookaside buffer</title>
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        <para>- TLB cachuji informace ve strankovacich tabulkach; alternativne
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        se lze na strankovaci tabulky (ci ruzne hw rozsireni [e.g. VHPT, ppc32
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        hw hash table]) divat jako na velke TLB</para>
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        <para>- pri modifikaci mapovani nebo odstraneni mapovani ze
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        strankovacich tabulek je potreba zajistit konsistenci TLB a techto
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        tabulek; nutne delat na vsech CPU; na to mame zjednodusenou verzi TLB
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        shootdown mechanismu; je to variace na algoritmus popsany zde: D.
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        Black et al., "Translation Lookaside Buffer Consistency: A Software
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        Approach," Proc. Third Int'l Conf. Architectural Support for
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        Programming Languages and Operating Systems, 1989, pp. 113-122.</para>
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        <para>- nutno poznamenat, ze existuji odlehcenejsi verze TLB shootdown
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        algoritmu</para>
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      </section>
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    </section>
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  </section>
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  <!-- End of VM -->
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  <section>
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    <!-- Phys mem -->
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    <title>Physical memory management</title>
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    <section id="zones_and_frames">
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      <title>Zones and frames</title>
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      <para><!--graphic fileref="images/mm2.png" /--><!--graphic fileref="images/buddy_alloc.svg" format="SVG" /--></para>
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      <para>On some architectures not whole physical memory is available for
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      conventional usage. This limitations require from kernel to maintain a
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      table of available and unavailable ranges of physical memory addresses.
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      Main idea of zones is in creating memory zone entity, that is a
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      continuous chunk of memory available for allocation. If some chunk is
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      not available, we simply do not put it in any zone.</para>
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      <para>Zone is also serves for informational purposes, containing
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      information about number of free and busy frames. Physical memory
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      allocation is also done inside the certain zone. Allocation of zone
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      frame must be organized by the <link linkend="frame_allocator">frame
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      allocator</link> associated with the zone.</para>
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      <para>Some of the architectures (mips32, ppc32) have only one zone, that
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      covers whole physical memory, and the others (like ia32) may have
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      multiple zones. Information about zones on current machine is stored in
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      BIOS hardware tables or can be hardcoded into kernel during compile
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      time.</para>
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    </section>
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    <section id="frame_allocator">
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      <title>Frame allocator</title>
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      <para><mediaobject id="frame_alloc">
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          <imageobject role="html">
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            <imagedata fileref="images/frame_alloc.png" format="PNG" />
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          </imageobject>
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          <imageobject role="fop">
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            <imagedata fileref="images.vector/frame_alloc.svg" format="SVG" />
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          </imageobject>
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        </mediaobject></para>
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      <formalpara>
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        <title>Overview</title>
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        <para>Frame allocator provides physical memory allocation for the
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        kernel. Because of zonal organization of physical memory, frame
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        allocator is always working in context of some zone, thus making
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        impossible to allocate a piece of memory, which lays in different
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        zone, which cannot happen, because two adjacent zones can be merged
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        into one. Frame allocator is also being responsible to update
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        information on the number of free/busy frames in zone. Physical memory
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        allocation inside one <link linkend="zones_and_frames">memory
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        zone</link> is being handled by an instance of <link
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        linkend="buddy_allocator">buddy allocator</link> tailored to allocate
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        blocks of physical memory frames.</para>
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      </formalpara>
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      <formalpara>
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        <title>Allocation / deallocation</title>
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        <para>Upon allocation request, frame allocator tries to find first
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        zone, that can satisfy the incoming request (has required amount of
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        free frames to allocate). During deallocation, frame allocator needs
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        to find zone, that contain deallocated frame. This approach could
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        bring up two potential problems: <itemizedlist>
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            <listitem>
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               Linear search of zones does not any good to performance, but number of zones is not expected to be high. And if yes, list of zones can be replaced with more time-efficient B-tree.
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            </listitem>
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            <listitem>
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               Quickly find out if zone contains required number of frames to allocate and if this chunk of memory is properly aligned. This issue is perfectly solved bu the buddy allocator.
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            </listitem>
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          </itemizedlist></para>
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      </formalpara>
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    </section>
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    <section id="buddy_allocator">
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      <title>Buddy allocator</title>
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      <section>
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        <title>Overview</title>
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        <para><mediaobject id="buddy_alloc">
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            <imageobject role="html">
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              <imagedata fileref="images/buddy_alloc.png" format="PNG" />
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            </imageobject>
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            <imageobject role="fop">
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              <imagedata fileref="images.vector/buddy_alloc.svg" format="SVG" />
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            </imageobject>
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          </mediaobject></para>
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        <para>In the buddy allocator, the memory is broken down into
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        power-of-two sized naturally aligned blocks. These blocks are
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        organized in an array of lists, in which the list with index i
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        contains all unallocated blocks of size
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        <mathphrase>2<superscript>i</superscript></mathphrase>. The index i is
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        called the order of block. Should there be two adjacent equally sized
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        blocks in the list i<mathphrase> </mathphrase>(i.e. buddies), the
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        buddy allocator would coalesce them and put the resulting block in
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        list <mathphrase>i + 1</mathphrase>, provided that the resulting block
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        would be naturally aligned. Similarily, when the allocator is asked to
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        allocate a block of size
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        <mathphrase>2<superscript>i</superscript></mathphrase>, it first tries
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        to satisfy the request from the list with index i. If the request
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        cannot be satisfied (i.e. the list i is empty), the buddy allocator
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        will try to allocate and split a larger block from the list with index
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        i + 1. Both of these algorithms are recursive. The recursion ends
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        either when there are no blocks to coalesce in the former case or when
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        there are no blocks that can be split in the latter case.</para>
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        <!--graphic fileref="images/mm1.png" format="EPS" /-->
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        <para>This approach greatly reduces external fragmentation of memory
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        and helps in allocating bigger continuous blocks of memory aligned to
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        their size. On the other hand, the buddy allocator suffers increased
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        internal fragmentation of memory and is not suitable for general
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        kernel allocations. This purpose is better addressed by the <link
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        linkend="slab">slab allocator</link>.</para>
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      </section>
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      <section>
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        <title>Implementation</title>
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        <para>The buddy allocator is, in fact, an abstract framework wich can
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        be easily specialized to serve one particular task. It knows nothing
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        about the nature of memory it helps to allocate. In order to beat the
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        lack of this knowledge, the buddy allocator exports an interface that
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        each of its clients is required to implement. When supplied with an
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        implementation of this interface, the buddy allocator can use
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        specialized external functions to find a buddy for a block, split and
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        coalesce blocks, manipulate block order and mark blocks busy or
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        available. For precise documentation of this interface, refer to
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        <emphasis>"HelenOS Generic Kernel Reference Manual"</emphasis>.</para>
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        <formalpara>
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          <title>Data organization</title>
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          <para>Each entity allocable by the buddy allocator is required to
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          contain space for storing block order number and a link variable
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          used to interconnect blocks within the same order.</para>
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          <para>Whatever entities are allocated by the buddy allocator, the
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          first entity within a block is used to represent the entire block.
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          The first entity keeps the order of the whole block. Other entities
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          within the block are assigned the magic value
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          <constant>BUDDY_INNER_BLOCK</constant>. This is especially important
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          for effective identification of buddies in a one-dimensional array
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          because the entity that represents a potential buddy cannot be
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          associated with <constant>BUDDY_INNER_BLOCK</constant> (i.e. if it
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          is associated with <constant>BUDDY_INNER_BLOCK</constant> then it is
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          not a buddy).</para>
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          <para>The buddy allocator always uses the first frame to represent
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          the frame block. This frame contains <varname>buddy_order</varname>
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          variable to provide information about the block size it actually
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          represents (
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          <mathphrase>2<superscript>buddy_order</superscript></mathphrase>
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          frames block). Other frames in block have this value set to magic
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          <constant>BUDDY_INNER_BLOCK</constant> that is much greater than
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          buddy <varname>max_order</varname> value.</para>
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          <para>Each <varname>frame_t</varname> also contains pointer member
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          to hold frame structure in the linked list inside one order.</para>
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        </formalpara>
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        <formalpara>
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          <title>Allocation algorithm</title>
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          <para>Upon <mathphrase>2<superscript>i</superscript></mathphrase>
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          frames block allocation request, allocator checks if there are any
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          blocks available at the order list <varname>i</varname>. If yes,
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          removes block from order list and returns its address. If no,
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          recursively allocates
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          <mathphrase>2<superscript>i+1</superscript></mathphrase> frame
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          block, splits it into two
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          <mathphrase>2<superscript>i</superscript></mathphrase> frame blocks.
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          Then adds one of the blocks to the <varname>i</varname> order list
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          and returns address of another.</para>
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        </formalpara>
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        <formalpara>
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          <title>Deallocation algorithm</title>
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          <para>Check if block has so called buddy (another free
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          <mathphrase>2<superscript>i</superscript></mathphrase> frame block
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          that can be linked with freed block into the
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          <mathphrase>2<superscript>i+1</superscript></mathphrase> block).
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          Technically, buddy is a odd/even block for even/odd block
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          respectively. Plus we can put an extra requirement, that resulting
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          block must be aligned to its size. This requirement guarantees
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          natural block alignment for the blocks coming out the allocation
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          system.</para>
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          <para>Using direct pointer arithmetics,
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          <varname>frame_t::ref_count</varname> and
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          <varname>frame_t::buddy_order</varname> variables, finding buddy is
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          done at constant time.</para>
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        </formalpara>
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      </section>
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    </section>
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    <section id="slab">
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      <title>Slab allocator</title>
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      <section>
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        <title>Overview</title>
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        <para><termdef><glossterm>Slab</glossterm> represents a contiguous
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        piece of memory, usually made of several physically contiguous
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        pages.</termdef> <termdef><glossterm>Slab cache</glossterm> consists
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        of one or more slabs.</termdef></para>
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        <para>The majority of memory allocation requests in the kernel are for
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        small, frequently used data structures. For this purpose the slab
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        allocator is a perfect solution. The basic idea behind the slab
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        allocator is to have lists of commonly used objects available packed
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        into pages. This avoids the overhead of allocating and destroying
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        commonly used types of objects such threads, virtual memory structures
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        etc. Also due to the exact allocated size matching, slab allocation
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        completely eliminates internal fragmentation issue.</para>
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      </section>
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26 bondari 404
      <section>
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        <title>Implementation</title>
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        <para><mediaobject id="slab_alloc">
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            <imageobject role="html">
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              <imagedata fileref="images/slab_alloc.png" format="PNG" />
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            </imageobject>
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            <imageobject role="fop">
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              <imagedata fileref="images.vector/slab_alloc.svg" format="SVG" />
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            </imageobject>
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          </mediaobject></para>
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        <para>The SLAB allocator is closely modelled after <ulink
418
        url="http://www.usenix.org/events/usenix01/full_papers/bonwick/bonwick_html/">
419
        OpenSolaris SLAB allocator by Jeff Bonwick and Jonathan Adams </ulink>
420
        with the following exceptions: <itemizedlist>
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            <listitem>
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               empty SLABS are deallocated immediately (in Linux they are kept in linked list, in Solaris ???)
423
            </listitem>
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            <listitem>
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               empty magazines are deallocated when not needed (in Solaris they are held in linked list in slab cache)
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            </listitem>
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          </itemizedlist> Following features are not currently supported but
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        would be easy to do: <itemizedlist>
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            <listitem>
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               - cache coloring
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            </listitem>
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            <listitem>
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               - dynamic magazine grow (different magazine sizes are already supported, but we would need to adjust allocation strategy)
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            </listitem>
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          </itemizedlist></para>
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        <section>
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          <title>Magazine layer</title>
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          <para>Due to the extensive bottleneck on SMP architures, caused by
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          global SLAB locking mechanism, making processing of all slab
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          allocation requests serialized, a new layer was introduced to the
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          classic slab allocator design. Slab allocator was extended to
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          support per-CPU caches 'magazines' to achieve good SMP scaling.
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          <termdef>Slab SMP perfromance bottleneck was resolved by introducing
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          a per-CPU caching scheme called as <glossterm>magazine
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          layer</glossterm></termdef>.</para>
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          <para>Magazine is a N-element cache of objects, so each magazine can
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          satisfy N allocations. Magazine behaves like a automatic weapon
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          magazine (LIFO, stack), so the allocation/deallocation become simple
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          push/pop pointer operation. Trick is that CPU does not access global
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          slab allocator data during the allocation from its magazine, thus
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          making possible parallel allocations between CPUs.</para>
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          <para>Implementation also requires adding another feature as the
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          CPU-bound magazine is actually a pair of magazines to avoid
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          thrashing when during allocation/deallocatiion of 1 item at the
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          magazine size boundary. LIFO order is enforced, which should avoid
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          fragmentation as much as possible.</para>
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          <para>Another important entity of magazine layer is a full magazine
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          depot, that stores full magazines which are used by any of the CPU
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          magazine caches to reload active CPU magazine. Magazine depot can be
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          pre-filled with full magazines during initialization, but in current
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          implementation it is filled during object deallocation, when CPU
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          magazine becomes full.</para>
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          <para>Slab allocator control structures are allocated from special
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          slabs, that are marked by special flag, indicating that it should
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          not be used for slab magazine layer. This is done to avoid possible
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          infinite recursions and deadlock during conventional slab allocaiton
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          requests.</para>
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        </section>
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        <section>
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          <title>Allocation/deallocation</title>
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          <para>Every cache contains list of full slabs and list of partialy
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          full slabs. Empty slabs are immediately freed (thrashing will be
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          avoided because of magazines).</para>
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          <para>The SLAB allocator allocates lots of space and does not free
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          it. When frame allocator fails to allocate the frame, it calls
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          slab_reclaim(). It tries 'light reclaim' first, then brutal reclaim.
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          The light reclaim releases slabs from cpu-shared magazine-list,
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          until at least 1 slab is deallocated in each cache (this algorithm
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          should probably change). The brutal reclaim removes all cached
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          objects, even from CPU-bound magazines.</para>
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493
          <formalpara>
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            <title>Allocation</title>
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496
            <para><emphasis>Step 1.</emphasis> When it comes to the allocation
497
            request, slab allocator first of all checks availability of memory
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            in local CPU-bound magazine. If it is there, we would just "pop"
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            the CPU magazine and return the pointer to object.</para>
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            <para><emphasis>Step 2.</emphasis> If the CPU-bound magazine is
502
            empty, allocator will attempt to reload magazin, swapping it with
503
            second CPU magazine and returns to the first step.</para>
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505
            <para><emphasis>Step 3.</emphasis> Now we are in the situation
506
            when both CPU-bound magazines are empty, which makes allocator to
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            access shared full-magazines depot to reload CPU-bound magazines.
508
            If reload is succesful (meaning there are full magazines in depot)
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            algoritm continues at Step 1.</para>
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            <para><emphasis>Step 4.</emphasis> Final step of the allocation.
512
            In this step object is allocated from the conventional slab layer
513
            and pointer is returned.</para>
514
          </formalpara>
515
 
516
          <formalpara>
517
            <title>Deallocation</title>
518
 
519
            <para><emphasis>Step 1.</emphasis> During deallocation request,
520
            slab allocator will check if the local CPU-bound magazine is not
521
            full. In this case we will just push the pointer to this
522
            magazine.</para>
523
 
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            <para><emphasis>Step 2.</emphasis> If the CPU-bound magazine is
525
            full, allocator will attempt to reload magazin, swapping it with
526
            second CPU magazine and returns to the first step.</para>
527
 
528
            <para><emphasis>Step 3.</emphasis> Now we are in the situation
529
            when both CPU-bound magazines are full, which makes allocator to
530
            access shared full-magazines depot to put one of the magazines to
531
            the depot and creating new empty magazine. Algoritm continues at
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            Step 1.</para>
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          </formalpara>
534
        </section>
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      </section>
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    </section>
26 bondari 537
 
538
    <!-- End of Physmem -->
539
  </section>
540
 
541
  <section>
542
    <title>Memory sharing</title>
543
 
544
    <para>Not implemented yet(?)</para>
545
  </section>
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</chapter>