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Subversion Repositories or1k_soc_on_altera_embedded_dev_kit

[/] [or1k_soc_on_altera_embedded_dev_kit/] [trunk/] [linux-2.6/] [linux-2.6.24/] [arch/] [mips/] [sgi-ip27/] [Kconfig] - Blame information for rev 3

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1 3 xianfeng
#config SGI_SN0_XXL
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#       bool "IP27 XXL"
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#       depends on SGI_IP27
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#         This options adds support for userspace processes upto 16TB size.
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#         Normally the limit is just .5TB.
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choice
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        prompt "Node addressing mode"
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        depends on SGI_IP27
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        default SGI_SN_M_MODE
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config SGI_SN_M_MODE
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        bool "IP27 M-Mode"
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        help
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          The nodes of Origin, Onyx, Fuel and Tezro systems can be configured
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          in either N-Modes which allows for more nodes or M-Mode which allows
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          for more memory.  Your hardware is almost certainly running in
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          M-Mode, so choose M-mode here.
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config SGI_SN_N_MODE
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        bool "IP27 N-Mode"
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        depends on EXPERIMENTAL
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        help
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          The nodes of Origin, Onyx, Fuel and Tezro systems can be configured
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          in either N-Modes which allows for more nodes or M-Mode which allows
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          for more memory.  Your hardware is almost certainly running in
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          M-Mode, so choose M-mode here.
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endchoice
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config MAPPED_KERNEL
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        bool "Mapped kernel support"
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        depends on SGI_IP27
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        help
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          Change the way a Linux kernel is loaded into memory on a MIPS64
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          machine.  This is required in order to support text replication on
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          NUMA.  If you need to understand it, read the source code.
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config REPLICATE_KTEXT
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        bool "Kernel text replication support"
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        depends on SGI_IP27
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        select MAPPED_KERNEL
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        help
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          Say Y here to enable replicating the kernel text across multiple
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          nodes in a NUMA cluster.  This trades memory for speed.
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config REPLICATE_EXHANDLERS
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        bool "Exception handler replication support"
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        depends on SGI_IP27
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        help
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          Say Y here to enable replicating the kernel exception handlers
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          across multiple nodes in a NUMA cluster. This trades memory for
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          speed.

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