Loading raps/stats.py +49 −1 Original line number Diff line number Diff line Loading @@ -50,12 +50,16 @@ def min_max_sum(value,min,max,sum): sum += value return min,max,sum def get_job_stats(engine: Engine): """ Return job statistics processed over the engine execution""" # Information on Job-Mix min_job_size, max_job_size, sum_job_size = sys.maxsize, -sys.maxsize - 1, 0 min_runtime, max_runtime, sum_runtime = sys.maxsize, -sys.maxsize - 1, 0 min_energy, max_energy, sum_energy = sys.maxsize, -sys.maxsize - 1, 0 min_edp, max_edp, sum_edp = sys.maxsize, -sys.maxsize - 1, 0 min_edp2, max_edp2, sum_edp2 = sys.maxsize, -sys.maxsize - 1, 0 min_agg_node_hours, max_agg_node_hours, sum_agg_node_hours = sys.maxsize, -sys.maxsize - 1, 0 # Completion statistics throughput = engine.jobs_completed / engine.timesteps * 3600 if engine.timesteps else 0 # Jobs per hour Loading @@ -66,6 +70,11 @@ def get_job_stats(engine: Engine): min_psf_partial_den, max_psf_partial_den, sum_psf_partial_den = sys.maxsize, -sys.maxsize - 1, 0 min_awrt, max_awrt, sum_awrt = sys.maxsize, -sys.maxsize - 1, 0 jobsSmall = 0 jobsMedium = 0 jobsLarge = 0 jobsHuge = 0 # Information on Job-Mix for job in engine.job_history_dict: job_size = job['num_nodes'] Loading @@ -76,6 +85,17 @@ def get_job_stats(engine: Engine): min_runtime, max_runtime, sum_runtime = \ min_max_sum(runtime, min_runtime, max_runtime, sum_runtime) energy = job['energy'] min_energy, max_energy, sum_energy = \ min_max_sum(energy, min_energy, max_energy, sum_energy) edp = energy * runtime min_edp, max_edp, sum_edp = \ min_max_sum(edp, min_edp, max_edp, sum_edp) edp2 = energy * runtime**2 min_edp2, max_edp2, sum_edp2 = \ min_max_sum(edp2, min_edp2, max_edp2, sum_edp2) agg_node_hours = runtime * job_size # Aggreagte node hours min_agg_node_hours, max_agg_node_hours, sum_agg_node_hours = \ min_max_sum(agg_node_hours, min_agg_node_hours, max_agg_node_hours, sum_agg_node_hours) Loading @@ -102,9 +122,21 @@ def get_job_stats(engine: Engine): min_psf_partial_den, max_psf_partial_den, sum_psf_partial_den = \ min_max_sum(psf_partial_den, min_psf_partial_den, max_psf_partial_den, sum_psf_partial_den) if job['num_nodes'] <= 5: jobsSmall += 1 elif job['num_nodes'] <= 50: jobsMedium += 1 elif job['num_nodes'] <= 250: jobsLarge += 1 else: # job['nodes_required'] > 250: jobsHuge += 1 if len(engine.job_history_dict) != 0: avg_job_size = sum_job_size / len(engine.job_history_dict) avg_runtime = sum_runtime / len(engine.job_history_dict) avg_energy = sum_energy / len(engine.job_history_dict) avg_edp= sum_edp / len(engine.job_history_dict) avg_edp2= sum_edp2 / len(engine.job_history_dict) avg_agg_node_hours = sum_agg_node_hours / len(engine.job_history_dict) avg_wait_time = sum_wait_time / len(engine.job_history_dict) avg_turnaround_time = sum_turnaround_time / len(engine.job_history_dict) Loading @@ -114,6 +146,9 @@ def get_job_stats(engine: Engine): # Set these to -1 to indicate nothing ran min_job_size, max_job_size, avg_job_size = -1,-1,-1 min_runtime, max_runtime, avg_runtime = -1,-1,-1 min_energy, max_energy, avg_energy = -1,-1,-1 min_edp, max_edp, avg_edp = -1,-1,-1 min_edp2, max_edp2, avg_edp2 = -1,-1,-1 min_agg_node_hours, max_agg_node_hours, avg_agg_node_hours = -1,-1,-1 min_wait_time, max_wait_time, avg_wait_time = -1,-1,-1 min_turnaround_time, max_turnaround_time, avg_turnaround_time = -1,-1,-1 Loading @@ -125,6 +160,10 @@ def get_job_stats(engine: Engine): 'throughput': f'{throughput:.2f} jobs/hour', 'jobs still running': [job.id for job in engine.running], 'jobs still in queue': [job.id for job in engine.queue], 'Jobs <= 5 nodes': jobsSmall, 'Jobs <= 50 nodes': jobsMedium, 'Jobs <= 250 nodes': jobsLarge, 'Jobs > 250 nodes': jobsHuge, # Information on job-mix executed 'min job size': min_job_size, 'max job size': max_job_size, Loading @@ -132,6 +171,15 @@ def get_job_stats(engine: Engine): 'min runtime': min_runtime, 'max runtime': max_runtime, 'average runtime': avg_runtime, 'min energy': min_energy, 'max energy': max_energy, 'avg energy': avg_energy, 'min edp': min_edp, 'max edp': max_edp, 'avg edp': avg_edp, 'min edp^2': min_edp2, 'max edp^2': max_edp2, 'avg edp^2': avg_edp2, 'min_aggregate_node_hours': min_agg_node_hours, 'max_aggregate_node_hours': max_agg_node_hours, 'avg_aggregate_node_hours': avg_agg_node_hours, Loading Loading
raps/stats.py +49 −1 Original line number Diff line number Diff line Loading @@ -50,12 +50,16 @@ def min_max_sum(value,min,max,sum): sum += value return min,max,sum def get_job_stats(engine: Engine): """ Return job statistics processed over the engine execution""" # Information on Job-Mix min_job_size, max_job_size, sum_job_size = sys.maxsize, -sys.maxsize - 1, 0 min_runtime, max_runtime, sum_runtime = sys.maxsize, -sys.maxsize - 1, 0 min_energy, max_energy, sum_energy = sys.maxsize, -sys.maxsize - 1, 0 min_edp, max_edp, sum_edp = sys.maxsize, -sys.maxsize - 1, 0 min_edp2, max_edp2, sum_edp2 = sys.maxsize, -sys.maxsize - 1, 0 min_agg_node_hours, max_agg_node_hours, sum_agg_node_hours = sys.maxsize, -sys.maxsize - 1, 0 # Completion statistics throughput = engine.jobs_completed / engine.timesteps * 3600 if engine.timesteps else 0 # Jobs per hour Loading @@ -66,6 +70,11 @@ def get_job_stats(engine: Engine): min_psf_partial_den, max_psf_partial_den, sum_psf_partial_den = sys.maxsize, -sys.maxsize - 1, 0 min_awrt, max_awrt, sum_awrt = sys.maxsize, -sys.maxsize - 1, 0 jobsSmall = 0 jobsMedium = 0 jobsLarge = 0 jobsHuge = 0 # Information on Job-Mix for job in engine.job_history_dict: job_size = job['num_nodes'] Loading @@ -76,6 +85,17 @@ def get_job_stats(engine: Engine): min_runtime, max_runtime, sum_runtime = \ min_max_sum(runtime, min_runtime, max_runtime, sum_runtime) energy = job['energy'] min_energy, max_energy, sum_energy = \ min_max_sum(energy, min_energy, max_energy, sum_energy) edp = energy * runtime min_edp, max_edp, sum_edp = \ min_max_sum(edp, min_edp, max_edp, sum_edp) edp2 = energy * runtime**2 min_edp2, max_edp2, sum_edp2 = \ min_max_sum(edp2, min_edp2, max_edp2, sum_edp2) agg_node_hours = runtime * job_size # Aggreagte node hours min_agg_node_hours, max_agg_node_hours, sum_agg_node_hours = \ min_max_sum(agg_node_hours, min_agg_node_hours, max_agg_node_hours, sum_agg_node_hours) Loading @@ -102,9 +122,21 @@ def get_job_stats(engine: Engine): min_psf_partial_den, max_psf_partial_den, sum_psf_partial_den = \ min_max_sum(psf_partial_den, min_psf_partial_den, max_psf_partial_den, sum_psf_partial_den) if job['num_nodes'] <= 5: jobsSmall += 1 elif job['num_nodes'] <= 50: jobsMedium += 1 elif job['num_nodes'] <= 250: jobsLarge += 1 else: # job['nodes_required'] > 250: jobsHuge += 1 if len(engine.job_history_dict) != 0: avg_job_size = sum_job_size / len(engine.job_history_dict) avg_runtime = sum_runtime / len(engine.job_history_dict) avg_energy = sum_energy / len(engine.job_history_dict) avg_edp= sum_edp / len(engine.job_history_dict) avg_edp2= sum_edp2 / len(engine.job_history_dict) avg_agg_node_hours = sum_agg_node_hours / len(engine.job_history_dict) avg_wait_time = sum_wait_time / len(engine.job_history_dict) avg_turnaround_time = sum_turnaround_time / len(engine.job_history_dict) Loading @@ -114,6 +146,9 @@ def get_job_stats(engine: Engine): # Set these to -1 to indicate nothing ran min_job_size, max_job_size, avg_job_size = -1,-1,-1 min_runtime, max_runtime, avg_runtime = -1,-1,-1 min_energy, max_energy, avg_energy = -1,-1,-1 min_edp, max_edp, avg_edp = -1,-1,-1 min_edp2, max_edp2, avg_edp2 = -1,-1,-1 min_agg_node_hours, max_agg_node_hours, avg_agg_node_hours = -1,-1,-1 min_wait_time, max_wait_time, avg_wait_time = -1,-1,-1 min_turnaround_time, max_turnaround_time, avg_turnaround_time = -1,-1,-1 Loading @@ -125,6 +160,10 @@ def get_job_stats(engine: Engine): 'throughput': f'{throughput:.2f} jobs/hour', 'jobs still running': [job.id for job in engine.running], 'jobs still in queue': [job.id for job in engine.queue], 'Jobs <= 5 nodes': jobsSmall, 'Jobs <= 50 nodes': jobsMedium, 'Jobs <= 250 nodes': jobsLarge, 'Jobs > 250 nodes': jobsHuge, # Information on job-mix executed 'min job size': min_job_size, 'max job size': max_job_size, Loading @@ -132,6 +171,15 @@ def get_job_stats(engine: Engine): 'min runtime': min_runtime, 'max runtime': max_runtime, 'average runtime': avg_runtime, 'min energy': min_energy, 'max energy': max_energy, 'avg energy': avg_energy, 'min edp': min_edp, 'max edp': max_edp, 'avg edp': avg_edp, 'min edp^2': min_edp2, 'max edp^2': max_edp2, 'avg edp^2': avg_edp2, 'min_aggregate_node_hours': min_agg_node_hours, 'max_aggregate_node_hours': max_agg_node_hours, 'avg_aggregate_node_hours': avg_agg_node_hours, Loading