v0.1.4: Multithreading (#26)

* doc up

* Added multihreading in optimize! (#25)

* Added multihreading in optimize!

* Updated CI for multithreading

* Bump new version for multithreading

.github/workflows/ci.yml

@@ -18,6 +18,8 @@ jobs:
         arch:
           - x64
           - x86
+        threads:
+          - "2"
         exclude:
           - os: macOS-latest
             arch: x86
@@ -41,6 +43,8 @@ jobs:
             ${{ runner.os }}-
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
+        env:
+          JULIA_NUM_THREADS: ${{ matrix.threads }}
       - uses: julia-actions/julia-processcoverage@v1
       - uses: codecov/codecov-action@v1
         with:

Project.toml

@@ -1,7 +1,7 @@
 name = "CompositionalNetworks"
 uuid = "4b67e4b5-442d-4ef5-b760-3f5df3a57537"
 authors = ["Jean-François Baffier"]
-version = "0.1.3"
+version = "0.1.4"
 
 [deps]
 ConstraintDomains = "5800fd60-8556-4464-8d61-84ebf7a0bedb"
@@ -11,7 +11,7 @@ OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 
 [compat]
-ConstraintDomains = "0.1.2"
+ConstraintDomains = "0.1"
 Dictionaries = "0.3"
 Evolutionary = "0.7, 0.8"
 OrderedCollections = "1.3"

src/CompositionalNetworks.jl

@@ -5,8 +5,9 @@ import Evolutionary: GA, tournament, singlepoint, flip, optimize, minimizer, Opt
 import Random: bitrand, falses
 import OrderedCollections: LittleDict
 import Dictionaries: Dictionary, set!
-import Base.Iterators: product
+import Base.Iterators: product, flatten
 import ConstraintDomains: _get_domain, _length
+import Base.Threads: @threads, threadid, nthreads
 
 # Exports utilities
 export lazy, lazy_param, csv2space

src/genetic.jl

@@ -46,14 +46,17 @@ Optimize and set the weigths of an ICN with a given set of configuration `X` and
 
 function optimize!(icn, X, X_sols, global_iter, local_iter, dom_size, param=nothing; metric=hamming, popSize=100)
     results = Dictionary{BitVector,Int}()
-    @info "Starting optimization of weights"
-    for i in 1:global_iter
+    aux_results = Vector{BitVector}(undef, global_iter)
+    @info """Starting optimization of weights$(nthreads() > 1 ? " (multithreaded)" : "")"""
+    @threads for i in 1:global_iter
         @info "Iteration $i"
-        _optimize!(icn, X, X_sols, dom_size, param;
+        aux_icn = deepcopy(icn)
+        _optimize!(aux_icn, X, X_sols, dom_size, param;
             iter=local_iter, metric=metric, pop_size=popSize
         )
-        _incsert!(results, _weigths(icn))
+        aux_results[i] = _weigths(aux_icn)
     end
+    foreach(bv -> _incsert!(results, bv), aux_results)
     best = rand(findall(x -> x == maximum(results), results))
     _weigths!(icn, best)
     @info show_composition(icn) best results