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add nla results
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greole committed Feb 28, 2024
1 parent 9cf8cfd commit f2ffbe1
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions LidDrivenCavity3D/assets/plot.py
Original file line number Diff line number Diff line change
Expand Up @@ -168,7 +168,7 @@ def generate_base(node_based=False):
base_smuc = deepcopy(base_)

if not node_based:
# base_nla.append(eph.helpers.DFQuery(idx="nProcs", val=32))
base_nla.append(eph.helpers.DFQuery(idx="nProcs", val=32))
base_hkn.append(eph.helpers.DFQuery(idx="nProcs", val=76))
base_smuc.append(eph.helpers.DFQuery(idx="nProcs", val=112))

Expand Down Expand Up @@ -268,7 +268,7 @@ def set_compute_cost(df, host, costs):
df.loc[mapping_cpu, "deviceRanks"] = cpus
df.loc[mapping_gpu, "deviceRanks"] = gpus

# set_compute_cost(df, "nla", {"executor": "hip", "cpu": 32, "gpu": 8})
set_compute_cost(df, "nla", {"executor": "hip", "cpu": 32, "gpu": 8})
set_compute_cost(df, "hkn", {"executor": "cuda", "cpu": 76, "gpu": 4})
set_compute_cost(df, "i20", {"executor": "dpcpp", "cpu": 112, "gpu": 4})
df["deviceRankOverSubscription"] = (df["nProcs"] / df["nNodes"]) / df["deviceRanks"]
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