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

Generative artificial intelligence models will become more powerful than ever, thanks to a new, more advanced architecture for graphics processing units announced by Nvidia Corp. today. The company ...

[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 ...

Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the increased complexity of writing code and the ever-growing demand for compute power.

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 ...

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 ...

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 ...

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 ...

Aethir’s decentralized Graphics Processing Units (GPUs) network began as a solution for cloud gaming, but co-founder Mark Rydon says the company is now focused on artificial intelligence — an industry ...