Welcome to the official website of 2025 5th International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI 2025). The 2025 5th International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2025) will convene in Nanchang, Ch...
The NVIDIA HPC SDK C++ compiler supports full C++17 on CPUs and offloading of parallel algorithms to NVIDIA GPUs, enabling GPU programming with no directives, pragmas, or annotations. Programs that use C++17 parallel algorithms are readily portable to most C++ implementations for Linux, Windows, ...
Artificial Intelligence (AI)and HPC are on a symbiotic trajectory. The intricate AI algorithms and datasets require the computational power and data management skills that HPC excels in. As pioneers in both domains, Lenovo's HPC AI solutions are positioned to lead this convergence. ...
NVIDIA to Build Accelerated Computing Research Center New center in Boston to advance the development of quantum computing architectures and algorithms in collaboration with hardware and software makers. Read Press Release Climate Tech Companies Adopt Earth-2 for High-Resolution, Energy-Efficient, More Ac...
Verasonics has optimized the processing algorithms for maximum throughput on the CPU. Virtually all packaged algorithms are designed to utilize modern vectorized instructions for the CPU, as well as parallelizing the processing across all available CPU cores. ...
High Performance Computing: Topics for papers include, but are not limited to the topics given under the categories below. Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that...
algebraic systems Data-intensive parallel algorithms Energy- and power-efficient algorithms Fault-tolerant algorithms Graph and network algorithms Load balancing and scheduling algorithms Machine learning algorithms Uncertainty quantification methods Other high performance computing algorithms applications The ...
Choosing your algorithms further limits performance. Selecting interface contracts between various sub-components constrains performance still further. It is critical that you understand the costs of each of these early design decisions and make wise ones. Design is an iterative...
GPU computing is defining a new, supercharged law to replace Moore’s law. It starts with a highly specialized GPU parallel processor and continues through system design, software, algorithms, and optimized applications. Each GPU-accelerated server replaces dozens of commodity CPU servers, delivering...
Utilizing multiple Alveo U55C cards, TigerGraph tapped into AMD massive clustering ability to accelerate the two most prolific algorithms that drive graph-based recommendation engines Cosine Similarity and Louvain Modularity. Product Recommendation