Tootfinder

The Ultra Ethernet Consortium, whose members include AMD, Cisco, HPE, and Intel, publishes the 1.0 specification for enhancing Ethernet standards for AI and HPC (Sean Michael Kerner/Network World)
https://www.networkworld.com/ar…

Ultra Ethernet Consortium publishes 1.0 specification, readies Ethernet for HPC, AI
The UEC 1.0 specification includes a modern RDMA approach, new transport protocols, and congestion control mechanisms designed for AI and HPC requirements.

HP Dimension: Googles 3D-Videokonferenzlösung Beam hat einen hohen Preis
HP hat mit dem Dimension ein erstes marktreifes 3D-Videokonferenzsystem angekündigt, das auf Google Beam, auch bekannt als Project Starlink, setzt.  

HP unveils Dimension, the first hardware built with Google's 3D video conferencing tech, featuring a 65-inch light field display, launching in 2025 for $25,000 (Emma Roth/The Verge)
https://www.theverge.com/news/684859/hp-dimension-google-b…

HP reveals $24,999 hardware created just for Google Beam
HP has revealed the first third-party hardware built using Google’s 3D video conferencing technology, Beam. The HP Dimension costs $24,999 and features a 65-inch light field display to create a “true-to-life” 3D video of your caller.

Say goodbye to the inkjet printer from HP, that customer-hostile scandal company, and say “Hello!” to the multifunction color laser printer from Brother!
Oh boy, by far the most expensive printer I've ever bought. But worth every penny.
#linux #opensource

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
Zhihao Xu, Srikar Chundury, Seongmin Kim, Amir Shehata, Xinyi Li, Ang Li, Tengfei Luo, Frank Mueller, In-Saeng Suh
https://arxiv.org/abs/2506.10531

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
Quantum computing holds great potential to accelerate the process of solving complex combinatorial optimization problems. The Distributed Quantum Approximate Optimization Algorithm (DQAOA) addresses high-dimensional, dense problems using current quantum computing techniques and high-performance computing (HPC) systems. In this work, we improve the scalability and efficiency of DQAOA through advanced problem decomposition and parallel execution using message passing on the Frontier CPU/GPU super…

Top500: the US retains the top three supercomputers with El Capitan, Frontier, and Aurora; the US has 173 of the top 500 to Europe's 163 and China's 46 (Doug Black/InsideHPC)
https://insidehpc.com/2025/06/top500-e

TOP500: El Capitan Stays on Top, US Holds Top 3 Supercomputers, Europe Expands in Leadership HPC
The new TOP500 list of the world’s most powerful supercomputers, released this morning at the ISC 2025 conference in Germany, shows an expanding European - Read more from Inside HPC & AI News.

HP2C-DT: High-Precision High-Performance Computer-enabled Digital Twin
E. Iraola (Barcelona Supercomputing Center), M. Garc\'ia-Lorenzo (Barcelona Supercomputing Center), F. Lordan-Gomis (Barcelona Supercomputing Center), F. Rossi (CITCEA, Universitat Polit\`ecnica de Catalunya), E. Prieto-Araujo (CITCEA, Universitat Polit\`ecnica de Catalunya), R. M. Badia (Barcelona Supercomputing Center)

HP2C-DT: High-Precision High-Performance Computer-enabled Digital Twin
Digital twins are transforming the way we monitor, analyze, and control physical systems, but designing architectures that balance real-time responsiveness with heavy computational demands remains a challenge. Cloud-based solutions often struggle with latency and resource constraints, while edge-based approaches lack the processing power for complex simulations and data-driven optimizations. To address this problem, we propose the High-Precision High-Performance Computer-enabled Digital Twin …

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration
Jiaqi Lv, Xufeng He, Yanchen Liu, Xu Dai, Yang Hu, Shouyi Yin
https://arxiv.org/abs/2506.10401

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration
The rapid growth of deep learning has driven exponential increases in model parameters and computational demands. NVIDIA GPUs and their CUDA-based software ecosystem provide robust support for parallel computing, significantly alleviating computational bottlenecks. Meanwhile, due to the cultivation of user programming habits and the high performance of GPUs, the CUDA ecosystem has established a dominant position in the field of parallel software. This dominance requires other hardware platforms…

Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management
Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo
https://arxiv.org/abs/2506.05693

Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management
Horizontal Pod Auto-scalers (HPAs) are crucial for managing resource allocation in microservice architectures to handle fluctuating workloads. However, traditional HPAs fail to address resource disruptions caused by faults, cyberattacks, maintenance, and other operational challenges. These disruptions result in resource wastage, service unavailability, and HPA performance degradation. To address these challenges, we extend our prior work on Smart HPA and propose SecureSmart HPA, which offers re…

This https://arxiv.org/abs/2506.02709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Usability Evaluation of Cloud for HPC Applications
The rise of AI and the economic dominance of cloud computing have created a new nexus of innovation for high performance computing (HPC), which has a long history of driving scientific discovery. In addition to performance needs, scientific workflows increasingly demand capabilities of cloud environments: portability, reproducibility, dynamism, and automation. As converged cloud environments emerge, there is growing need to study their fit for HPC use cases. Here we present a cross-platform usa…