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.
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.
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 ...
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.
Breakthroughs | Scientific Computing World
WEBThe power of scientific computing is changing our world. Breakthroughs is a unique collection of interviews with the thought leaders spearheading that innovation across five distinct areas. These inspiring stories – and the case studies they reveal – will help translate technical benefits into tangible results for engineers, scientists and ...
Four challenges facing the future of scientific computing
WEBTeams must also understand the importance of having a data strategy. Data cleansing and enrichment will become more important. Scientific computing will play a key role in connecting data to data, data to people and people to people. Cost vs productivity. Cost vs productivity will continue to be a huge challenge for life sciences.
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 ...
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 …
Oxford Ionics and Infineon win to deliver portable quantum …
WEB5 days ago · Exclusive webinars & round tables: Be among the first to learn about and join upcoming webinars and round tables addressing key issues in scientific computing. In-depth reports & technical articles: Access insightful reports and whitepapers offering actionable information to support informed decision-making. Professional networking: Connect ...
GPU Technologies Advancing HPC and AI Workloads
WEBMulti-GPU technologies, such as NVIDIA NVLink, allow multiple GPUs to work together in parallel to solve complex HPC and AI workloads. NVLink provides a high-bandwidth, low-latency connection between GPUs, allowing them to share data and perform parallel processing at a faster rate. NVLink is available in the NVIDIA H100 GPU (PCIe and SXM5 ...