Scientific Computing | Scientific Computing World
WEBSilicon photonics illuminates a path for future AI models. Celestial AI’s Dave Lazovsky discusses how photonics can deliver a transformative leap in AI system performance by redefining interconnect technology for computing and memory infrastructure.
Products | Scientific Computing World
WEBIntegration and support service launched to help organisations adopy cloud supercomputing. Consulting company launches integration and support service to help UK universities and research institutions harness the power of supercomputing on the cloud.
Realising the potential of AI and HPC - Scientific Computing
WEBThe convergence of artificial intelligence (AI) and high-performance computing (HPC) promises to transform the scientific computing landscape, with its potential to enable research groups to tackle challenges that would otherwise have been beyond their capabilities. Over the past decade, we have begun to see AI penetrate nearly all industries ...
The future of computational science | Scientific Computing World
WEBThe future of computational science. Computational science has progressed steadily over the past decade. Improvements in computing performance allow us to model much more complex chemical, biological, and materials systems, and to understand increasingly large quantities of data. But these advances require finesse, as well as power.
From CPU to GPU | Scientific Computing World
WEBInstead, GPUs will act as highly efficient processing farms – where data is offloaded from the CPU to perform repetitive calculations at a very fast rate. The processed data would then return to the CPU, which would use the results to form a solution to the problem. The GPU’s power comes from the sheer number of processing cores on each chip.
The true cost of AI innovation | Scientific Computing World
WEBThe future of AI needs to be green. The growth and proliferation of AI shows no signs of abating. According to research firm IDC, worldwide spending on AI systems will be close to $98 billion (£75.4 billion) in 2023. If, as the UN has warned, 2020 is the year that the world must act to avoid runaway climate change, the field of AI – and the ...
An AI revolution | Scientific Computing World
WEBAn AI revolution. The confluence of data, compute power and advances in the design of algorithms for AI (artificial intelligence) and ML (machine learning) are driving new approaches in the laboratory. This gives scientists access to additional tools that can open new avenues for research or accelerate existing workflows.
Evolving AI is opening new avenmues for scientific research
WEBEvolving AI is opening new avenmues for scientific research. With the growth of AI and DL comes new opportunities for emerging applications, finds Robert Roe. As artificial intelligence (AI) and deep learning (DL) technologies mature, there are increasing numbers of applications available to scientists and researchers who are adopting these ...
Exascale ambitions | Scientific Computing World
WEBExascale ambitions. Fugaku is the fastest supercomputer in the world as of 2021, developed with both performance and generality in mind with the ‘applications first’ philosophy. The supercomputer has been developed and meticulously planned over 10 years to codesign both hardware and software to …
Quantum Computing: Accelerating the Path to a Sustainable ...
WEBIn conclusion, the path to a sustainable supercomputing future lies in leveraging the strengths of both classical and quantum computers. Quantum computers, with their low energy consumption and exponential computational growth, offer a promising solution to the energy challenges faced by the supercomputing sector.