Power-aware applications for scientific cluster and distributed computing

Sustainable Computing: Informatics and Systems

Cluster Middleware

On the co-design of runtimes, systems and programming interfaces for HPC

(English) High-performance computing (HPC) platforms are evolving towards increasingly complex architectures: many-core CPUs with multi-level NUMA hierarchies, heterogeneity with multiple classes of accelerators and higher-capacity interconnects. The increasing complexity and variety of resources in these machines make...

Design and implementation of distributed computing framework based on GPU

Experiments conducted on a real heterogeneous CPU-GPU cluster using diverse GPU workloads demonstrate that the performance of the GDSF computing framework and its scheduling algorithms meets the expected research objectives, thus validating the feasibility and effectiveness of the proposed design.

From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers

The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their deployment is primarily constrained by energy availability and grid-connection capacity, which is further aggravated by the ability of power-delivery architectures, control systems, and co...

Optimization and Analysis of Resource Allocation in Quantum-Centric Supercomputing Environments

Advances in quantum computing hardware and quantum algorithms are likely to cause major paradigm shifts in highperformance supercomputing environments. These shifts include foundational changes to system infrastructures that integrate both quantum and classical computational substrates through a combination of quantum...