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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Assaf Eisenman",
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  "author": "Assaf Eisenman",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1811.05922",
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  "defined_in": "https://doi.org/10.48550/arXiv.1811.05922",
            
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  "doi": "10.57702/wuu05chh",
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  "doi": "10.57702/wuu05chh",
            
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  "doi_date_published": null,
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  "doi_date_published": "2025-01-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": false,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Maxim Naumov",
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      "extra_author": "Maxim Naumov",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Darryl Gardner",
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      "extra_author": "Darryl Gardner",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Misha Smelyanskiy",
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      "extra_author": "Misha Smelyanskiy",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sergey Pupyrev",
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      "extra_author": "Sergey Pupyrev",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Kim Hazelwood",
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      "extra_author": "Kim Hazelwood",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Asaf Cidon",
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      "extra_author": "Asaf Cidon",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sachin Katti",
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      "extra_author": "Sachin Katti",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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      "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922",
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      "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "deep-learning",
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      "name": "deep-learning",
            
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      "title": "Deep Learning"
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      "title": "Deep Learning"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Non-Volatile Memory",
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      "display_name": "Non-Volatile Memory",
            
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      "id": "f708ea62-3915-4878-9c3b-2436e3f07786",
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      "id": "f708ea62-3915-4878-9c3b-2436e3f07786",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "non-volatile-memory",
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      "name": "non-volatile-memory",
            
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      "title": "Non-Volatile Memory"
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      "title": "Non-Volatile Memory"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Recommender Systems",
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      "display_name": "Recommender Systems",
            
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      "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324",
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      "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "recommender-systems",
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      "name": "recommender-systems",
            
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      "title": "Recommender Systems"
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      "title": "Recommender Systems"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "4eded4a3-c028-4de1-ba77-288141c91f5d",
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  "id": "4eded4a3-c028-4de1-ba77-288141c91f5d",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://arxiv.org/abs/1805.07763",
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  "landing_page": "https://arxiv.org/abs/1805.07763",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2025-01-02T23:39:58.516079",
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  "metadata_created": "2025-01-02T23:39:58.516079",
            
n
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  "metadata_modified": "2025-01-02T23:39:58.516086",
n
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  "metadata_modified": "2025-01-02T23:39:59.111811",
            
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  "name": 
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  "name": 
            
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"bandana--using-non-volatile-memory-for-storing-deep-learning-models",
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"bandana--using-non-volatile-memory-for-storing-deep-learning-models",
            
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  "notes": "Typical large-scale recommender systems use deep learning 
78
  "notes": "Typical large-scale recommender systems use deep learning 
            
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models that are stored on a large amount of DRAM. These models often 
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models that are stored on a large amount of DRAM. These models often 
            
80
rely on embeddings, which consume most of the required memory. We 
80
rely on embeddings, which consume most of the required memory. We 
            
81
present Bandana, a storage system that reduces the DRAM footprint of 
81
present Bandana, a storage system that reduces the DRAM footprint of 
            
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embeddings, by using Non-volatile Memory (NVM) as the primary storage 
82
embeddings, by using Non-volatile Memory (NVM) as the primary storage 
            
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medium, with a small amount of DRAM as cache.",
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medium, with a small amount of DRAM as cache.",
            
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  "num_resources": 0,
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  "num_resources": 1,
            
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  "num_tags": 7,
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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    "description": "",
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    "description": "",
            
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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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    "image_url": "",
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    "image_url": "",
            
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    "name": "no-organization",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "No Organization",
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    "title": "No Organization",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "resources": [],
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  "resources": [
            
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    {
            
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      "cache_last_updated": null,
            
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      "cache_url": null,
            
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      "created": "2025-01-03T00:16:30",
            
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      "data": [
            
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        "dcterms:title",
            
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        "datacite:isDescribedBy"
            
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      ],
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "d004eefb-428a-4026-8de2-2a4ab8c7e04e",
            
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      "last_modified": "2025-01-02T23:39:59.102786",
            
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      "metadata_modified": "2025-01-02T23:39:59.115216",
            
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      "mimetype": "application/json",
            
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      "name": "Original Metadata",
            
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      "position": 0,
            
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      "resource_type": null,
            
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      "size": 1223,
            
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      "state": "active",
            
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      "url": 
            
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resource/d004eefb-428a-4026-8de2-2a4ab8c7e04e/download/metadata.json",
            
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      "url_type": "upload"
            
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    }
            
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  ],
            
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  "services_used_list": "",
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  "services_used_list": "",
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Bandana",
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      "display_name": "Bandana",
            
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      "id": "7e307304-8cba-4a5e-b04f-2b1cccf52d0d",
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      "id": "7e307304-8cba-4a5e-b04f-2b1cccf52d0d",
            
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      "name": "Bandana",
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      "name": "Bandana",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Cache",
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      "display_name": "Cache",
            
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      "id": "2863b496-a913-47f1-945d-47d84706bd55",
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      "id": "2863b496-a913-47f1-945d-47d84706bd55",
            
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      "name": "Cache",
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      "name": "Cache",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "DRAM",
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      "display_name": "DRAM",
            
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      "id": "149ed4f3-9196-4e10-9458-e38e6fb6172c",
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      "id": "149ed4f3-9196-4e10-9458-e38e6fb6172c",
            
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      "name": "DRAM",
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      "name": "DRAM",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
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      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
            
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      "name": "Deep Learning",
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      "name": "Deep Learning",
            
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      "state": "active",
172
      "state": "active",
            
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      "vocabulary_id": null
173
      "vocabulary_id": null
            
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    },
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    },
            
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    {
175
    {
            
135
      "display_name": "NVM",
176
      "display_name": "NVM",
            
136
      "id": "cd946650-2b7a-4698-87bd-0d243fc32e21",
177
      "id": "cd946650-2b7a-4698-87bd-0d243fc32e21",
            
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      "name": "NVM",
178
      "name": "NVM",
            
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      "state": "active",
179
      "state": "active",
            
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      "vocabulary_id": null
180
      "vocabulary_id": null
            
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    },
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    },
            
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    {
182
    {
            
142
      "display_name": "Non-Volatile Memory",
183
      "display_name": "Non-Volatile Memory",
            
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      "id": "815d8bff-2b9f-496c-9f15-dd9610cd10f7",
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      "id": "815d8bff-2b9f-496c-9f15-dd9610cd10f7",
            
144
      "name": "Non-Volatile Memory",
185
      "name": "Non-Volatile Memory",
            
145
      "state": "active",
186
      "state": "active",
            
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      "vocabulary_id": null
187
      "vocabulary_id": null
            
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    },
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    },
            
148
    {
189
    {
            
149
      "display_name": "Recommender Systems",
190
      "display_name": "Recommender Systems",
            
150
      "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed",
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      "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed",
            
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      "name": "Recommender Systems",
192
      "name": "Recommender Systems",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
195
    }
            
155
  ],
196
  ],
            
156
  "title": "Bandana: Using Non-volatile Memory for Storing Deep 
197
  "title": "Bandana: Using Non-volatile Memory for Storing Deep 
            
157
Learning Models",
198
Learning Models",
            
158
  "type": "dataset",
199
  "type": "dataset",
            
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  "version": ""
200
  "version": ""
            
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}
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}