update Chapel to 2.3.0

README.md

@@ -37,7 +37,7 @@ In order to compile and execute the CUDA-based code on AMD GPU architectures, we
 The [chpl_config](./chpl_config/) directory contains several Chapel environment configuration scripts.
 The latter can serve as templates and can be (and should be) adapted to the target system.
 
-**Note:** The code is implemented using Chapel 2.1.0 and might not compile and run with older or newer versions.
+**Note:** The code is implemented using Chapel 2.3.0 and might not compile and run with older or newer versions.
 By default, the target architecture for CUDA code generation is set to `sm_70`, and to `gfx906` for AMD.
 
 ### Compilation & execution

chpl_config/CHPL_VERSION

-2.1.0
+2.3.0

lib/pfsp/Bound_johnson.chpl

@@ -124,7 +124,7 @@ module Bound_johnson
   }
 
   // Empty record serves as comparator
-  record johnson_comp { }
+  record johnson_comp: relativeComparator { }
 
   //(after partitioning) sorting jobs in ascending order with this comparator yield an optimal schedule for the associated 2-machine FSP [Johnson, S. M. (1954). Optimal two-and three-stage production schedules with setup times included.closed access Naval research logistics quarterly, 1(1), 61–68.]
   proc johnson_comp.compare(j1, j2): int(32)

pfsp_dist_multigpu_chpl.chpl

@@ -325,7 +325,7 @@ proc pfsp_search(ref optimum: int, ref exploredTree: uint, ref exploredSol: uint
 
   while (pool.size < D*m*numLocales) {
     var hasWork = 0;
-    var parent = pool.popFront(hasWork);
+    var parent = pool.popFrontFree(hasWork);
     if !hasWork then break;
 
     decompose(lbound1_p, lbound2_p, parent, exploredTree, exploredSol, best, pool);