8000 Ec2 by decarvalhojunior-fh · Pull Request #20 · PlatformAwareProgramming/PlatformAware.jl · GitHub
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Merged
merged 3 commits into from
Oct 6, 2022
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Ec2 #20

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3640bbd
AWS EC2 support
decarvalhojunior-fh Oct 2, 2022
070ba35
adding ec2_type types
pedrosfa Oct 4, 2022
0dbe0f6
Introducing PlatformFeature, QuantifierFeature and QualifierFeature t…
decarvalhojunior-fh Oct 6, 2022
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1 change: 1 addition & 0 deletions Project.toml
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Expand Up @@ -4,6 +4,7 @@ auth 8000 ors = ["Francisco Heron de Carvalho Junior <heron@dc.ufc.br> and contributor
version = "0.4.0"

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
CpuId = "adafc99b-e345-5852-983c-f28acb93d879"
Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -230,9 +230,9 @@ Therefore, we suggest the following general guideline for package developers who
3. Identify the target execution platforms to which you want to provide specialized methods for each kernel function. You can choose a set of execution platforms for all kernels, or you can select one or more platforms for each kernel independently. For helping your choice, look at the following information sources:
- the [table of supported _platform **parameters**_](https://docs.google.com/spreadsheets/d/1n-c4b7RxUduaKV43XrTnt54w-SR1AXgVNI7dN2OkEUc/edit?usp=sharing), which will help you to know which assumptions _PlatformAware.jl_ already allow you to make about the target execution platorm;
- the database of supported _platform **features**_, where the features of the models of processors and accelerators that are currently suported by _PlatformAware.jl_ are described:
- AMD [accelerators](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/platforms/amd/db-accelerators.AMD.csv) and [processors](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/platforms/amd/db-processors.AMD.csv);
- Intel [accelerators](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/platforms/intel/db-accelerators.Intel.csv) and [processors](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/platforms/intel/db-processors.Intel.csv);
- NVIDIA [accelerators](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/platforms/nvidia/db-accelerators.NVIDIA.csv).
- AMD [accelerators](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/features/qualifiers/amd/db-accelerators.AMD.csv) and [processors](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/features/qualifiers/amd/db-processors.AMD.csv);
- Intel [accelerators](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/features/qualifiers/intel/db-accelerators.Intel.csv) and [processors](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/features/qualifiers/intel/db-processors.Intel.csv);
- NVIDIA [accelerators](https://github.com/decarvalhojunior-fh/PlatformAware.jl/blob/master/src/features/qualifiers/nvidia/db-accelerators.NVIDIA.csv).

4. For each platform you select, define a set of assumptions about its features that will guide your implementation decisions. In fact, it is possible to define different assumptions for the same platform, leading to multiple implementations of a kernel for the same platform. For example, you might decide to implement different parallel algorithms to solve a problem according to the number of nodes and the interconnection characteristics of a cluster.

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56 changes: 30 additions & 26 deletions src/PlatformAware.jl
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Expand Up @@ -11,37 +11,39 @@ using JSON
using Scratch
using Downloads

include("utils.jl")

# features (platform types)
include("features/features.jl") # platform types base
include("features/detection.jl") # feature detection

# quantifiers
include("quantifiers/atleast.jl")
include("quantifiers/atmost.jl")
include("quantifiers/macros.jl")
include("features/quantifiers/atleast.jl")
include("features/quantifiers/atmost.jl")
include("features/quantifiers/macros.jl")

# platform types
include("platforms/general.jl")
include("platforms/common.jl")
include("platforms/ec2/ec2.jl")
include("platforms/gcp/gcp.jl")
include("platforms/nvidia/nvidia.jl")
include("platforms/intel/intel.jl")
include("platforms/intel/intel_accelerators_xeonphi.jl")
include("platforms/intel/intel_processors_atom.jl")
include("platforms/intel/intel_processors_celeron.jl")
include("platforms/intel/intel_processors_core.jl")
include("platforms/intel/intel_processors_itanium.jl")
include("platforms/intel/intel_processors_pentium.jl")
include("platforms/intel/intel_processors_xeon.jl")
include("platforms/amd/amd_processors.jl")
include("platforms/amd/amd_accelerators.jl")
include("platforms/xilinx/xilinx.jl")
# qualifiers
include("features/qualifiers/general.jl")
include("features/qualifiers/common.jl")
include("features/qualifiers/ec2/ec2.jl")
include("features/qualifiers/gcp/gcp.jl")
include("features/qualifiers/nvidia/nvidia.jl")
include("features/qualifiers/intel/intel.jl")
include("features/qualifiers/intel/intel_accelerators_xeonphi.jl")
include("features/qualifiers/intel/intel_processors_atom.jl")
include("features/qualifiers/intel/intel_processors_celeron.jl")
include("features/qualifiers/intel/intel_processors_core.jl")
include("features/qualifiers/intel/intel_processors_itanium.jl")
include("features/qualifiers/intel/intel_processors_pentium.jl")
include("features/qualifiers/intel/intel_processors_xeon.jl")
include("features/qualifiers/amd/amd_processors.jl")
include("features/qualifiers/amd/amd_accelerators.jl")
include("features/qualifiers/xilinx/xilinx.jl")

include("utils.jl")

# main functionality (@platform macro and default types)
include("features.jl")
include("identification.jl")
include("platform.jl")

# platform identification
include("awareness.jl")

function __init__()
load!()
Expand All @@ -55,6 +57,9 @@ export
@just,
@unlimited,
@api,
PlatformFeature,
QuantifierFeature,
QualifierFeature,
Query,
Yes,
No,
Expand All @@ -63,7 +68,6 @@ export
CloudProvider,
MachineFamily,
MachineType,
MachineSize,
Locale,
Manufacturer,
ProcessorMicroarchitecture,
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