{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T15:53:41Z","timestamp":1783526021125,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T00:00:00Z","timestamp":1593043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,25]]},"DOI":"10.1145\/3452413.3464785","type":"proceedings-article","created":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T16:36:50Z","timestamp":1624034210000},"page":"17-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Efficient GPU Sharing for Serverless Workflows"],"prefix":"10.1145","author":[{"given":"Klaus","family":"Satzke","sequence":"first","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Istemi Ekin","family":"Akkus","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruichuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivica","family":"Rimac","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Stein","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andre","family":"Beck","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Napervillle, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paarijaat","family":"Aditya","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manohar","family":"Vanga","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Volker","family":"Hilt","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,6,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"OpenLambda Dev Meeting July 5. http:\/\/open-lambda.org\/resources\/slides\/ july-5-16"},{"key":"e_1_3_2_1_2_1","unstructured":"2021. AWS Lambda. https:\/\/aws.amazon.com\/lambda\/.  2021. AWS Lambda. https:\/\/aws.amazon.com\/lambda\/."},{"key":"e_1_3_2_1_3_1","unstructured":"A MNIST-like fashion product database. Benchmark 2021. A MNIST-like fashion product database. Benchmark. https:\/\/github.com\/zalandoresearch\/fashionmnist.  A MNIST-like fashion product database. Benchmark 2021. A MNIST-like fashion product database. Benchmark. https:\/\/github.com\/zalandoresearch\/fashionmnist."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3277355.3277444"},{"key":"e_1_3_2_1_6_1","unstructured":"Amazon Elastic Inference 2021. Amazon Elastic Inference. https:\/\/aws.amazon. com\/machine-learning\/elastic-inference\/.  Amazon Elastic Inference 2021. Amazon Elastic Inference. https:\/\/aws.amazon. com\/machine-learning\/elastic-inference\/."},{"key":"e_1_3_2_1_7_1","unstructured":"Autonomous Vehicle and ADAS development on AWS 2020. Autonomous Vehicle and ADAS development on AWS. https:\/\/aws.amazon.com\/blogs\/industries\/ autonomous-vehicle-and-adas-development-on-aws-part-1-achieving-scale\/.  Autonomous Vehicle and ADAS development on AWS 2020. Autonomous Vehicle and ADAS development on AWS. https:\/\/aws.amazon.com\/blogs\/industries\/ autonomous-vehicle-and-adas-development-on-aws-part-1-achieving-scale\/."},{"key":"e_1_3_2_1_8_1","unstructured":"Azure Functions-Serverless Architecture | Microsoft Azure 2021. Azure Functions-Serverless Architecture | Microsoft Azure. https:\/\/azure.microsoft.com\/enus\/services\/functions\/.  Azure Functions-Serverless Architecture | Microsoft Azure 2021. Azure Functions-Serverless Architecture | Microsoft Azure. https:\/\/azure.microsoft.com\/enus\/services\/functions\/."},{"key":"e_1_3_2_1_9_1","volume-title":"Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv preprint arXiv:1512.01274","author":"Chen Tianqi","year":"2015"},{"key":"e_1_3_2_1_10_1","unstructured":"Cloud Functions - Serverless Environment to Build and Connect Cloud Services | Google Cloud Platform 2021. Cloud Functions - Serverless Environment to Build and Connect Cloud Services | Google Cloud Platform. https:\/\/cloud.google.com\/ functions\/.  Cloud Functions - Serverless Environment to Build and Connect Cloud Services | Google Cloud Platform 2021. Cloud Functions - Serverless Environment to Build and Connect Cloud Services | Google Cloud Platform. https:\/\/cloud.google.com\/ functions\/."},{"key":"e_1_3_2_1_11_1","unstructured":"Container Service for Kubernetes [n.d.]. Container Service for Kubernetes. https:\/\/www.alibabacloud.com\/product\/kubernetes.  Container Service for Kubernetes [n.d.]. Container Service for Kubernetes. https:\/\/www.alibabacloud.com\/product\/kubernetes."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCS.2010.5547126"},{"key":"e_1_3_2_1_13_1","unstructured":"Alex Ellis. 2017. Functions as a Service (FaaS). https:\/\/blog.alexellis.io\/functions-as-a-service\/.  Alex Ellis. 2017. Functions as a Service (FaaS). https:\/\/blog.alexellis.io\/functions-as-a-service\/."},{"key":"e_1_3_2_1_14_1","volume-title":"A Neural Algorithm of Artistic Style. CoRR abs\/1508.06576","author":"Gatys Leon A.","year":"2015"},{"key":"e_1_3_2_1_15_1","unstructured":"GPU Manager is used for managing the nvidia GPU devices in Kubernetes cluster. 2021. GPU Manager is used for managing the nvidia GPU devices in Kubernetes cluster. https:\/\/github.com\/tkestack\/gpu-manager.  GPU Manager is used for managing the nvidia GPU devices in Kubernetes cluster. 2021. GPU Manager is used for managing the nvidia GPU devices in Kubernetes cluster. https:\/\/github.com\/tkestack\/gpu-manager."},{"key":"e_1_3_2_1_16_1","unstructured":"GPU Sharing Scheduler for Kubernetes Cluster [n.d.]. GPU Sharing Scheduler for Kubernetes Cluster. https:\/\/github.com\/AliyunContainerService\/gpushare-scheduler-extender.  GPU Sharing Scheduler for Kubernetes Cluster [n.d.]. GPU Sharing Scheduler for Kubernetes Cluster. https:\/\/github.com\/AliyunContainerService\/gpushare-scheduler-extender."},{"key":"e_1_3_2_1_17_1","unstructured":"IBM Cloud Functions [n.d.]. Cloud Functions - Overview | IBM Cloud. https: \/\/www.ibm.com\/cloud\/functions.  IBM Cloud Functions [n.d.]. Cloud Functions - Overview | IBM Cloud. https: \/\/www.ibm.com\/cloud\/functions."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3113\/JSOA.2017.0227"},{"key":"e_1_3_2_1_19_1","unstructured":"KNIX 2021. KNIX. https:\/\/github.com\/knix-microfunctions\/knix.  KNIX 2021. KNIX. https:\/\/github.com\/knix-microfunctions\/knix."},{"key":"e_1_3_2_1_20_1","unstructured":"Kubernetes Schedule GPUs 2021. Kubernetes Schedule GPUs. https:\/\/kubernetes. io\/docs\/tasks\/manage-gpus\/scheduling-gpus\/.  Kubernetes Schedule GPUs 2021. Kubernetes Schedule GPUs. https:\/\/kubernetes. io\/docs\/tasks\/manage-gpus\/scheduling-gpus\/."},{"key":"e_1_3_2_1_21_1","unstructured":"Nuclio Serverless Functions [n.d.]. Nuclio Serverless Functions. https:\/\/nuclio.io\/.  Nuclio Serverless Functions [n.d.]. Nuclio Serverless Functions. https:\/\/nuclio.io\/."},{"key":"e_1_3_2_1_22_1","unstructured":"NVIDIA-Docker [n.d.]. Build and run Docker containers leveraging NVIDIA GPUs. https:\/\/github.com\/NVIDIA\/nvidia-docker.  NVIDIA-Docker [n.d.]. Build and run Docker containers leveraging NVIDIA GPUs. https:\/\/github.com\/NVIDIA\/nvidia-docker."},{"key":"e_1_3_2_1_23_1","volume-title":"Pytorch: Tensors and dynamic neural networks in python with strong gpu acceleration. PyTorch: Tensors and dynamic neural networks in Python with strong GPU acceleration 6","author":"Paszke Adam","year":"2017"},{"key":"e_1_3_2_1_24_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 [cs.CV]  Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 [cs.CV]"},{"key":"e_1_3_2_1_25_1","unstructured":"tf.linalg.matmul API 2021. tf.linalg.matmul API. https:\/\/www.tensorflow.org\/ api_docs\/python\/tf\/linalg\/matmul.  tf.linalg.matmul API 2021. tf.linalg.matmul API. https:\/\/www.tensorflow.org\/ api_docs\/python\/tf\/linalg\/matmul."},{"key":"e_1_3_2_1_26_1","unstructured":"The CIFAR-10 dataset 2021. The CIFAR-10 dataset. https:\/\/www.tensorflow.org\/ datasets\/catalog\/cifar10  The CIFAR-10 dataset 2021. The CIFAR-10 dataset. https:\/\/www.tensorflow.org\/ datasets\/catalog\/cifar10"}],"event":{"name":"HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing","location":"Virtual Event Sweden","acronym":"HPDC '21","sponsor":["University of Arizona University of Arizona","SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 1st Workshop on High Performance Serverless Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3452413.3464785","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3452413.3464785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:41Z","timestamp":1750191461000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3452413.3464785"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,25]]},"references-count":26,"alternative-id":["10.1145\/3452413.3464785","10.1145\/3452413"],"URL":"https:\/\/doi.org\/10.1145\/3452413.3464785","relation":{},"subject":[],"published":{"date-parts":[[2020,6,25]]},"assertion":[{"value":"2021-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}