AN OPTIMIZATION MODEL FOR FLEET SIZING AND EMPTY PALLET ALLOCATION CONSIDERING CO2 EMISSIONS.



Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads

During the past decade, novel Deep Learning (DL) algorithms, workloads and hardware have been developed to tackle a wide range of problems.Despite the advances in workload and hardware ecosystems, the programming methodology of DL systems is stagnant.DL workloads leverage either highly-optimized, yet platform-specific and inflexible kernels from DL

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Virtual Synchronous Generator, a Comprehensive Overview

Renewable energy sources (RESs) pitchers, carafes and teapots are generally connected to the grid through power electronic interfaces, which generate electrical power instantaneously with little inertia.With the increasing penetration of RESs, the grid will gradually develop into a low inertia and underdamped power system, which results in serious

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