Create "small problem size" option.

Author: petervdonovan

runner/conf/benchmark/savina_concurrency_banking.yaml

@@ -2,7 +2,7 @@
 name: "Bank Transaction"
 params:
   accounts: 1000
-  transactions: 50000
+  transactions: "${size.banking_transactions}"
 
 # target specific configuration
 targets:

runner/conf/benchmark/savina_concurrency_bndbuffer.yaml

@@ -4,7 +4,7 @@ params:
   buffer_size: 50
   consumers: 40
   producers: 40
-  items_per_producer: 1000
+  items_per_producer: "${size.bndbuffer_items_per_producer}"
   produce_cost: 25
   consume_cost: 25
 

runner/conf/benchmark/savina_concurrency_concsll.yaml

@@ -2,7 +2,7 @@
 name: "Concurrent Sorted Linked List"
 params:
   workers: 20
-  messages_per_worker: 8000
+  messages_per_worker: "${size.concsll_messages_per_worker}"
   write_percentage: 10
   size_percentage: 1
 

runner/conf/benchmark/savina_micro_big.yaml

@@ -1,7 +1,7 @@
 # @package benchmark
 name: "Big"
 params:
-  messages: 20000
+  messages: ${size.big_messages}
   actors: 120
 
 # target specific configuration

runner/conf/benchmark/savina_micro_pingpong.yaml

@@ -1,7 +1,7 @@
 # @package benchmark
 name: "Ping Pong"
 params:
-  pings: 1000000
+  pings: "${size.pingpong_pings}"
 
 # target specific configuration
 targets:

runner/conf/benchmark/savina_parallelism_apsp.yaml

@@ -1,8 +1,8 @@
 # @package benchmark
 name: "All-Pairs Shortest Path"
 params:
-  num_workers: 300
-  block_size: 50
+  num_workers: ${size.apsp_num_workers}
+  block_size: ${size.apsp_block_size}
   max_edge_weight: 100
 
 # target specific configuration

runner/conf/benchmark/savina_parallelism_filterbank.yaml

@@ -1,7 +1,7 @@
 # @package benchmark
 name: "Filter Bank"
 params:
-  columns: 16384
+  columns: ${size.filterbank_columns}
   simulations: 34816
   channels: 8
 

runner/conf/benchmark/savina_parallelism_piprecise.yaml

@@ -2,7 +2,7 @@
 name: "Precise Pi Computation"
 params:
   workers: 20
-  precision: 5000
+  precision: ${size.piprecise_precision}
 
 # target specific configuration
 targets:

runner/conf/benchmark/savina_parallelism_radixsort.yaml

@@ -1,7 +1,7 @@
 # @package benchmark
 name: "Radix Sort"
 params:
-  data_size: 100000
+  data_size: ${size.radixsort_data_size}
   max_value: 1152921504606846976  # 2^60
   seed: 2048
 

runner/conf/benchmark/savina_parallelism_recmatmul.yaml

@@ -2,7 +2,7 @@
 name: "Recursive Matrix Multiplication"
 params:
   workers: 20
-  data_length: 1024
+  data_length: ${size.recmatmul_data_length}
   block_threshold: 16384
   priorities: 10