Microsoft

Unify now or pay later: New research exposes the operational cost of a fragmented SOC

New research from Microsoft and Omdia reveals how fragmented tools, manual workflows, and alert overload are pushing SOCs to a breaking point.
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...
IEEE

Multi-Branch Dendritic Computing for Federated Graph Neural Networks: Maintaining Interpretability Under Privacy Constraints

Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable performance in modeling complex relational data. However, their deployment in privacy-sensitive domains remains challenging due to ...
IEEE

GCNCO: Graph Attention-Driven Offloading and Orchestration via Computing and Networking Coordination for Holographic Services

Abstract: As an important support of next-generation network technologies, edge computing provides crucial support for holographic communication services (HCSs) by offering low latency and high ...