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1 change: 1 addition & 0 deletions README.md
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# GA-data

The data used by the different Green Algorithms tools or external tools using the same methodology.
133 changes: 133 additions & 0 deletions csv/latest/CI_aggregated.csv

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155 changes: 155 additions & 0 deletions csv/latest/CPUs.csv

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28 changes: 28 additions & 0 deletions csv/latest/GPUs.csv
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index,in Watt,TO BE CHECKED,,in nm,in cm2,in GB,
model,TDP,n_cores,Release_year,feature_size,die_area,memory,source
Average,231,,,13.2,6.162,25.36,Mean of the other lines.
NVIDIA Jetson AGX Xavier 16 GB,30,,2018,12,3.5,16,https://www.techpowerup.com/gpu-specs/jetson-agx-xavier-16-gb.c3232
NVIDIA Jetson AGX Xavier 32 GB,30,,2018,12,3.5,32,https://www.techpowerup.com/gpu-specs/jetson-agx-xavier-32-gb.c4088
NVIDIA Tesla T4,70,,2018,12,5.45,16,https://www.techpowerup.com/gpu-specs/tesla-t4.c3316
AMD Radeon RX 580,185,,2017,14,2.32,8,techpowerup.com/gpu-specs/radeon-rx-580.c2938
NVIDIA GeForce RTX 2080,215,,2018,12,5.45,8,techpowerup.com/gpu-specs/geforce-rtx-2080.c3224
NVIDIA GeForce RTX 2080 Ti 11GB,250,,2018,12,7.54,11,techpowerup.com/gpu-specs/geforce-rtx-2080-ti.c3305
NVIDIA Quadro RTX 5000,230,,2018,12,5.45,16,https://www.techpowerup.com/gpu-specs/quadro-rtx-5000.c3308
NVIDIA GeForce GTX 1080,180,,2016,16,3.14,8,techpowerup.com/gpu-specs/geforce-gtx-1080.c2839
NVIDIA GeForce GTX 1080 Ti,250,,2017,16,4.71,11,https://www.techpowerup.com/gpu-specs/geforce-gtx-1080-ti.c2877
NVIDIA Titan V,250,,2017,12,8.15,12,techpowerup.com/gpu-specs/titan-v.c3051
NVIDIA GTX TITAN X,250,,2015,28,6.01,12,techpowerup.com/gpu-specs/geforce-gtx-titan-x.c2632
NVIDIA TITAN X Pascal,250,,2016,16,4.71,12,https://www.techpowerup.com/gpu-specs/titan-x-pascal.c2863
NVIDIA Tesla P100 PCIe 12 GB,250,,2016,16,6.1,12,https://www.techpowerup.com/gpu-specs/tesla-p100-pcie-12-gb.c2915
NVIDIA Tesla P100 PCIe 16 GB,250,,2016,16,6.1,16,https://www.techpowerup.com/gpu-specs/tesla-p100-pcie-16-gb.c2888
NVIDIA A100 PCIe 40 GB,250,,2020,7,8.26,40,https://www.techpowerup.com/gpu-specs/a100-pcie-40-gb.c3623
NVIDIA A100 PCIe 80 GB,300,,2021,7,8.26,80,https://www.techpowerup.com/gpu-specs/a100-pcie-80-gb.c3821
NVIDIA A100 SXM4 40 GB,400,,2020,7,8.26,40,https://www.techpowerup.com/gpu-specs/a100-sxm4-40-gb.c3506
NVIDIA A100 SXM4 80 GB,400,,2020,7,8.26,80,https://www.techpowerup.com/gpu-specs/a100-sxm4-40-gb.c3506
NVIDIA Tesla P4,75,,2016,16,3.14,8,https://www.techpowerup.com/gpu-specs/tesla-p4.c2879
NVIDIA Tesla K80,300,,2014,28,5.61,12,https://www.techpowerup.com/gpu-specs/tesla-k80.c2616
NVIDIA Tesla V100 PCIe 32 GB,250,,2018,12,8.15,32,https://www.techpowerup.com/gpu-specs/tesla-v100-pcie-32-gb.c3184
NVIDIA Quadro RTX 6000,260,,2018,12,7.54,24,https://www.techpowerup.com/gpu-specs/quadro-rtx-6000.c3307
NVIDIA Tesla V100 SXM2 32 GB,250,,2018,12,8.15,32,https://www.techpowerup.com/gpu-specs/tesla-v100-sxm2-32-gb.c3185
NVIDIA Tesla V100 SXM2 16 GB,250,,2019,12,8.15,16,https://www.techpowerup.com/gpu-specs/tesla-v100-sxm2-16-gb.c3471
NVIDIA H100 PCIe,350,,2022,4,8.14,80,https://www.techpowerup.com/gpu-specs/h100-pcie.c3899
80 changes: 80 additions & 0 deletions csv/latest/cloudProviders_datacenters.csv
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must match providers codes,The name of the data centre on the cloud platform,must match CI-aggregated$location,extra level of details after regionName,,,> 1,
provider,Name,location,Extra_details,location_freeForm,source_datacentre,PUE,source_PUE
gcp,us-west1,US-OR,,Oregon ,https://cloud.google.com/about/locations (29/09/2020),1.11,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,us-west2,US-CA,Los Angeles,Los Angeles,https://cloud.google.com/about/locations (29/09/2020),,
gcp,us-west3,US-UT,Salt Lake City,Salt Lake City,https://cloud.google.com/about/locations (29/09/2020),,
gcp,us-west4,US-NV,Las Vegas,Las Vegas,https://cloud.google.com/about/locations (29/09/2020),,
gcp,us-central1,US-IA,,Iowa,https://cloud.google.com/about/locations (29/09/2020),1.11,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,us-east1,US-SC,,South Carolina,https://cloud.google.com/about/locations (29/09/2020),1.11,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,us-east4,US-VA,North Virginia,North Virginia,https://cloud.google.com/about/locations (29/09/2020),,
gcp,northamerica-northeast1,CA-QC,Montréal,Montréal,https://cloud.google.com/about/locations (29/09/2020),,
gcp,southamerica-east1,BR,Sao Paulo,Sao Paulo,https://cloud.google.com/about/locations (29/09/2020),,
gcp,europe-west1,BE,,Belgium,https://cloud.google.com/about/locations (29/09/2020),1.08,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,europe-west2,GB,London,London,https://cloud.google.com/about/locations (29/09/2020),,
gcp,europe-west3,DE,Frankfurt,Frankfurt,https://cloud.google.com/about/locations (29/09/2020),,
gcp,europe-west4,NL,,Netherlands,https://cloud.google.com/about/locations (29/09/2020),,
gcp,europe-west6,CH,,Zurich,https://cloud.google.com/about/locations (29/09/2020),,
gcp,europe-north1,FI,,Finland,https://cloud.google.com/about/locations (29/09/2020),1.09,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,asia-south1,IN,Mumbai,Mumbai,https://cloud.google.com/about/locations (29/09/2020),,
gcp,asia-southeast1,SG,,Singapore,https://cloud.google.com/about/locations (29/09/2020),1.15,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,asia-southeast2,ID,,Jakarta,https://cloud.google.com/about/locations (29/09/2020),,
gcp,asia-east2,CN-HK,,Hong Kong,https://cloud.google.com/about/locations (29/09/2020),,
gcp,asia-east1,TW,,Taiwan,https://cloud.google.com/about/locations (29/09/2020),1.13,https://www.google.co.uk/about/datacenters/efficiency/ (29/09/2020)
gcp,asia-northeast1,JP,Tokyo,Tokyo,https://cloud.google.com/about/locations (29/09/2020),,
gcp,asia-northeast2,JP,Osaka,Osaka,https://cloud.google.com/about/locations (29/09/2020),,
gcp,asia-northeast3,KR,Seoul,Seoul,https://cloud.google.com/about/locations (29/09/2020),,
gcp,australia-southeast1,AU-NSW,,Sydney,https://cloud.google.com/about/locations (29/09/2020),,
azure,South Africa North,ZA,Johannesburg,Johannesburg,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,South Africa West,ZA,Cape Town,Cape Town,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,East Asia,CN-HK,,Hong Kong,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Southeast Asia,SG,,Singapore,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Australia Central,AU-ACT,Canberra,Canberra,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Australia Central 2,AU-ACT,Canberra,Canberra,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Australia East,AU-NSW,,New South Wales,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Australia Southeast,AU-VIC,,Victoria,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Brazil South,BR,Sao Paulo,Sao Paulo,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Canada Central,CA-ON,Toronto,Toronto,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Canada East,CA-QC,Quebec City,Quebec City,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,China East,CN,Shanghai,Shanghai,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,China East 2,CN,Shanghai,Shanghai,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,China North,CN,Beijing,Beijing,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,China North 2,CN,Beijing,Beijing,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,North Europe,IE,,Ireland,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,West Europe,NL,,Netherlands,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,France Central,FR,Paris,Paris,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,France South,FR,Marseille,Marseille,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Germany Central (Sovereign),DE,Frankfurt,Frankfurt,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Germany North (Public),DE,Berlin,Berlin,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Germany Northeastt (Sovereign),DE,Magdeburg,Magdeburg,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Germany West Central (Public),DE,Frankfurt,Frankfurt,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Central India,IN,Pune,Pune,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,South India,IN,Chennai,Chennai,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,West India,IN,Mumbai,Mumbai,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Israel Central,IL,,Israel,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Italy North,IT,Milan,Milan,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Japan East,JP,Tokyo,"Tokyo, Saitama",https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Japan West,JP,Osaka,Osaka,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Korea Central,KR,Seoul,Seoul,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Korea South,KR,Busan,Busan,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Mexico Central,MX,Querétaro,Querétaro State,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,New Zealand North,NZ,Auckland,Auckland,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Norway East,NO,Oslo,Oslo,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Norway West,NO,Stavanger,Stavanger,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Poland Central,PL,Warsaw,Warsaw,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Qatar Central,,,Doha,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Spain Central,ES,Madrid,Madrid,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Switzerland North,CH,Zurich,Zurich,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Switzerland West,CH,Geneva,Geneva,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,UAE Central,AE,Abu Dhabi,Abu Dhabi,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,UAE North,AE,Dubai,Dubai,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,UK South,GB,London,London,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,UK West,GB,Cardiff,Cardiff,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,Central US,US-IA,,Iowa,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,East US,US-VA,,Virginia,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,East US 2,US-VA,,Virginia,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,North Central US,US-IL,,Illinois,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,South Central US,US-TX,,Texas,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,West Central US,US-WY,,Wyoming,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,West US,US-CA,,California,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,West US 2,US-WA,,Washington,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
azure,West US 3,US-AZ,,Arizona,https://azure.microsoft.com/en-gb/global-infrastructure/geographies/#geographies (29/09/2020),,
15 changes: 15 additions & 0 deletions csv/latest/context.csv
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variable,value,source
passengerCar_EU_perkm,175,in gCO2/km from http://www.sciencedirect.com/science/article/pii/S1352231018307295 and https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2019
passengerCar_US_perkm,251,in gCO2/km from https://www.epa.gov/greenvehicles/greenhouse-gas-emissions-typical-passenger-vehicle
train_perkm,41,"in gCO2/km, but more like 5-37g, from https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2020"
flight_economy_perkm,171,"in gCO2/km, but more like 139-244g, from https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2020"
treeYear,11000,in gCO2/tree/year from http://www.sciencedirect.com/science/article/pii/S0269749101002640
flight_NY-SF,570000,gCO2e from https://calculator.carbonfootprint.com/calculator.aspx?tab=3
flight_PAR-LON,50000,gCO2e from https://calculator.carbonfootprint.com/calculator.aspx?tab=3
flight_PAR-DUB,110000,gCO2e from https://calculator.carbonfootprint.com/calculator.aspx?tab=3
flight_NYC-MEL,2310000,gCO2e from https://calculator.carbonfootprint.com/calculator.aspx?tab=3
streaming_netflix_perhour,55,gCO2 from https://www.carbontrust.com/resources/carbon-impact-of-video-streaming (update)
google_search,10,gCO2 from http://www.janavirgin.com/CO2/CO2GLE_about.html
tree_month,917,gCO2 same source as treeYear
PB_GWP_per_capita,985000,"gCO2e/year/person from Sala et al. (2020) ""Environmental sustanability of European production and consumption assessed against panetary boundaries"" https://doi.org/10.1016/j.jenvman.2020.110686"
PB_ADP_per_capita,2.63E+04,kgSbe/year/person same source as PB_GWP_per_capita
8 changes: 8 additions & 0 deletions csv/latest/defaults_PUE.csv
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index,>1,
provider,PUE,source
Unknown,1.56,2024 https://datacenter.uptimeinstitute.com/rs/711-RIA-145/images/2024.GlobalDataCenterSurvey.Report.pdf?version=0
gcp,1.12,https://www.nutanix.dev/2023/05/04/digging-into-data-center-efficiency-pue-and-the-impact-of-hci/
aws,1.2,https://www.nutanix.dev/2023/05/04/digging-into-data-center-efficiency-pue-and-the-impact-of-hci/
azure,1.12,https://www.nutanix.dev/2023/05/04/digging-into-data-center-efficiency-pue-and-the-impact-of-hci/
OVHcloud,1.09,https://www.nutanix.dev/2023/05/04/digging-into-data-center-efficiency-pue-and-the-impact-of-hci/
Oracle,1.2,https://www.nutanix.dev/2023/05/04/digging-into-data-center-efficiency-pue-and-the-impact-of-hci/
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