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IGUANE: A tool to explore Figures-of-Merit for some GPUs

Supported FoMs:

  • DRAC's UGR/RGU
  • My own proposal, IGUANE/IGUANA.

Examples:

$ python -m iguane -sr
 2.59 H100-SXM5-80GB
 2.43 H100-NVL-94GB
 1.96 H100-PCIe-80GB
 1.64 L40S
 1.00 A100-SXM4-80GB
 1.00 A100-PCIe-80GB
 0.90 A100-SXM4-40GB
 0.90 A100-PCIe-40GB
 0.81 A6000
 0.50 V100S-PCIe-32GB
 0.48 RTX8000
 0.46 V100-SXM2-32GB
 0.43 V100-PCIe-32GB
 0.42 V100-SXM2-16GB
 0.39 V100-PCIe-16GB
 0.27 P100-SXM2-16GB
 0.25 P100-PCIe-16GB
 0.22 P100-PCIe-12GB
 0.21 T4
$ pyton -m iguane -pd": "
P100-PCIe-12GB: 0.22040341999886826
P100-PCIe-16GB: 0.2539403974908297
P100-SXM2-16GB: 0.2702130531251874
V100-PCIe-16GB: 0.389666843190366
V100-PCIe-32GB: 0.429666843190366
V100-SXM2-16GB: 0.4169849414304501
V100-SXM2-32GB: 0.4569849414304501
V100S-PCIe-32GB: 0.49852085809099334
T4: 0.2143220096336331
RTX8000: 0.4784166837700395
A100-PCIe-40GB: 0.9000000000000001
A100-PCIe-80GB: 1.0
A100-SXM4-40GB: 0.9000000000000001
A100-SXM4-80GB: 1.0
A6000: 0.8145228158992954
L40S: 1.641054479943445
H100-PCIe-80GB: 1.9579954847095848
H100-SXM5-80GB: 2.586680957484816
H100-NVL-94GB: 2.4280983913222136
$ python -m iguane -jsru rgu
{
  "H100-SXM5-80GB": 12.168321513002363,
  "H100-NVL-94GB": 11.091546985815604,
  "L40S": 10.35952718676123,
  "H100-PCIe-80GB": 9.685106382978724,
  "A6000": 4.931631205673759,
  "A100-SXM4-80GB": 4.800000000000001,
  "A100-PCIe-80GB": 4.800000000000001,
  "A100-SXM4-40GB": 4.0,
  "A100-PCIe-40GB": 4.0,
  "RTX8000": 2.9685106382978725,
  "V100S-PCIe-32GB": 2.6535539795114267,
  "V100-SXM2-32GB": 2.5690780141843974,
  "V100-PCIe-32GB": 2.367344365642238,
  "V100-SXM2-16GB": 2.2490780141843976,
  "V100-PCIe-16GB": 2.047344365642238,
  "T4": 1.3223640661938536,
  "P100-SXM2-16GB": 1.2996690307328604,
  "P100-PCIe-16GB": 1.182505910165485,
  "P100-PCIe-12GB": 1.1025059101654848
}
$ python -m iguane -i mila.json
5886.69
$ python -m iguane -sji mila.json
{
  "breakdown": {
    "A6000": 39.453049645390074,
    "A100-SXM4-40GB": 128.0,
    "V100-SXM2-32GB": 143.86836879432624,
    "H100-SXM5-80GB": 194.6931442080378,
    "A100-SXM4-80GB": 422.4000000000001,
    "RTX8000": 1187.4042553191491,
    "L40S": 3770.8678959810877
  },
  "total": 5886.686713947991
}