scale up benchmarks

WIP.md

@@ -67,17 +67,10 @@ The Maxwell/Pascal L1 data cache had similar tag stage performance but local and
 
 - TODO:
 
-  - overall results in parallel table
-  - parallel remove .0 where possible
-  - DONE: bold font for best results in parallel table
-  - DONE: remove parallel execution from exec driven simulate (only baseline)
-  - DONE: fix parallel plot table (multiple kernel launch ids)
-
-  - DONE: compute blocks per sm metric for parallel, maybe we just need to scale up the workloads
+  - validate: add remote connection to das5 and das6
 
   - make the basic plots look good for pascal pchase and write it down
   - run the same for older fermi or maxwell gpu on das5 and write it down
-  - GIVE UP: have another go at ampere
 
   - plot: compare mem only simulation and trace reconstruction error
   - plot: compute overall correlations for all metrics
@@ -88,6 +81,13 @@ The Maxwell/Pascal L1 data cache had similar tag stage performance but local and
     - check if any line ever has different hit_cluster, otherwise makes no sense
     - this prob wont be interesting for l1, but maybe l2?
 
+  - DONE: overall results in parallel table
+  - GIVE UP: have another go at ampere
+  - DONE: parallel remove .0 where possible
+  - DONE: bold font for best results in parallel table
+  - DONE: remove parallel execution from exec driven simulate (only baseline)
+  - DONE: fix parallel plot table (multiple kernel launch ids)
+  - DONE: compute blocks per sm metric for parallel, maybe we just need to scale up the workloads
   - DONE: simulator: l1 latency should only affect HITS ==> l1 return queue
   - GIVE UP: research: try to understand the l1 tex cache hit rate nvprof metric
   - DONE: connect to das6

gpucachesim/benchmarks.py

@@ -303,12 +303,16 @@ def construct_playground_simulate_target_config(self, node):
 
 
 class Benchmarks:
+    path: Path
     config: Config
 
-    def __init__(self, path: os.PathLike) -> None:
+    def __init__(self, path: typing.Optional[os.PathLike]) -> None:
         """load the materialized benchmark config"""
-
-        with open(path or DEFAULT_BENCH_FILE, "rb") as f:
+        if path is None:
+            self.path = DEFAULT_BENCH_FILE
+        else:
+            self.path = Path(path)
+        with open(self.path, "rb") as f:
             benchmarks = yaml.load(f, Loader=BenchmarkLoader)
 
         self.config = benchmarks["config"]