Nature

Performance Tuning and Auto-Tuning of Algorithms for GPU Kernels

The optimisation of GPU kernels through performance tuning and auto-tuning approaches has become essential in maximising computational efficiency on modern heterogeneous architectures. Researchers ...
insideHPC

Pain of Porting: The Limitations and Costs of GPU-Driven HPC-AI

[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...
TechCrunch

Confidential GPUs for AI are the future of secure computing

Efficiency and innovation are often touted as hallmark attributes of generative AI. But as more enterprise businesses look to integrate the technology into their workflows, confidentiality — in data ...
PC Gamer

Not content with dominating the market for AI GPUs, Nvidia is turning its attention to QPUs for quantum computing

AI domination is seemingly not enough for Nvidia. Now the world's most valuable company is turning its attention to quantum computing. Give it up for the future of "accelerated quantum computing ...
Business Wire

Hammerspace Transforms GPU Computing Infrastructure as First to Unlock a New Tier of Ultra-Fast Shared Storage

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, today introduced the latest version of Hammerspace Global Data Platform software, unlocking a new tier ...
BGR

Google Revealed A Futuristic Quantum Algorithm Faster Than Supercomputers

Google claims to have developed a quantum computer algorithm that is 13,000 times faster than the most powerful supercomputers. This would bring the technology another step closer to real-world ...