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Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows.

, , , , , , , , , and . Computer, 57 (1): 136-144 (January 2024)

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Machine Learning at the Edge: Efficient Utilization of Limited CPU/GPU Resources by Multiplexing., , and . ICNP, page 1-6. IEEE, (2020)Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform., , , , , , , and . SC Workshops, page 1606-1613. ACM, (2023)Primitives Enhancing GPU Runtime Support for Improved DNN Performance., , and . CLOUD, page 53-64. IEEE, (2021)Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling., , , , , , , and . CLOUD, page 35-44. IEEE, (2023)SLAM-share: visual simultaneous localization and mapping for real-time multi-user augmented reality., , , , and . CoNEXT, page 293-306. ACM, (2022)Networked Architectures for Localization-Based Multi-User Augmented Reality., , , and . IEEE Commun. Mag., 61 (12): 104-110 (December 2023)Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows., , , , , , , , , and . Computer, 57 (1): 136-144 (January 2024)Kernel-as-a-Service: A Serverless Programming Model for Heterogeneous Hardware Accelerators., , , , , , , , , and . Middleware, page 192-206. ACM, (2023)Slice-Tune: a system for high performance DNN autotuning., , , , and . Middleware, page 228-240. ACM, (2022)NetML: An NFV Platform with Efficient Support for Machine Learning Applications., and . NetSoft, page 396-404. IEEE, (2019)