Changes between Initial Version and Version 1 of AppPlanSpec


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Timestamp:
Jun 2, 2012, 2:12:21 PM (12 years ago)
Author:
davea
Comment:

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  • AppPlanSpec

    v1 v1  
     1= Specifying plan classes =
     2
     3You can specify plan classes using an XML configuration file with the format
     4{{{
     5<plan_classes>
     6   <plan_class>
     7      ... specification of a plan class
     8   </plan_class>
     9   ... more plan class specifications
     10</plan_classes>
     11}}}
     12
     13The specification of a plan class has the following format.
     14All elements except '''<name>''' are optional.
     15
     16
     17 <name>X</name> :: the name of the plan class
     18 <virtualbox/> :: VirtualBox application
     19 <is64bit/> :: 64-bit application
     20 <min_cpus>x</min_cpus> :: requires at least X CPUs (may be fractional)
     21 <max_threads>x</max_threads>:: use at most this many CPUs
     22 <avg_ncpus>x</avg_ncpus>:: average # CPUs used.  Use for non-compute-intensive apps;
     23   for others it's calculated for you.
     24 <projected_flops_scale>x</projected_flops_scale>:: in estimating this app's FLOPS on a given host,
     25   multiply peak device speeds by this (0 < x <= 1). For GPU apps, use 0.2 or so
     26 <os_regex>regex</os_regex>:: use only hosts whose operating system name matches the given regular expression
     27 <cpu_feature>x</cpu_feature> :: a required CPU feature (such as sse3). You can include more than one.
     28
     29The following lets you use a project preference to decide whether to use the app version:
     30 <project_prefs_tag>x</project_prefs_tag>:: the name of the tag
     31 <project_prefs_regex>x</project_prefs_regex>:: the contents must match this regular expression
     32
     33Fields for GPU apps:
     34
     35 <gpu_type>X</gpu_type>:: the GPU type (nvidia, amd, or intel)
     36 <cpu_frac>x</cpu_frac>:: the fraction of total FLOPs that are done by the CPU.
     37   This is used to calculate CPU usage and estimated FLOPS.
     38 <min_gpu_ram_mb>x</min_gpu_ram_mb>:: The minimum amount of GPU RAM.
     39   This is needed because older clients report total RAM
     40   but not available RAM.
     41 <gpu_ram_used_mb>x</gpu_ram_used_mb>:: require this much available GPU RAM
     42 <gpu_peak_flops_scale>x</gpu_peak_flops_scale>:: scale GPU peak speed by this
     43 <ngpus>x</ngpus>:: how many GPUs will be used
     44 <min_driver_version>x</min_driver_version>:: minimum display driver version
     45 <max_driver_version>x</max_driver_version>:: maximum display driver version
     46 <cuda/>:: CUDA application (NVIDIA)
     47 <cal/>:: CAL application (AMD)
     48 <opencl/>:: OpenCL application
     49 <gpu_utilization_tag>x</gpu_utilization_tag>:: you can use a project-specific preferences to let users
     50   scale the # of GPUs used.
     51   This is the tag name.
     52
     53Fields for NVIDIA GPU apps:
     54
     55 <min_nvidia_compcap>x</min_nvidia_compcap>:: minimum compute capability
     56 <max_nvidia_compcap>x</max_nvidia_compcap>:: maximum compute capability
     57
     58Fields for CUDA apps
     59
     60 <min_cuda_version>x</min_cuda_version>:: minimum CUDA version
     61 <max_cuda_version>x</max_cuda_version>:: maximum CUDA version
     62
     63Fields for OpenCL apps
     64
     65 <min_opencl_version>x</min_opencl_version>:: minimum OpenCL version
     66 <max_opencl_version>x</max_opencl_version>:: maximum OpenCL version
     67
     68Fields for VirtualBox apps
     69
     70 <min_vbox_version>x</min_vbox_version>:: minimum VirtualBox version
     71 <max_vbox_version>x</max_vbox_version>:: maximum VirtualBox version