Quantum Computing: Future Proofing what Lies Beyond Super-Computing | Friday 25, 9:45
The race is on, as more computing power is required to solve some of the most complex, data-intensive problems in existence today. How will quantum computing overcome its inherent challenges - cost, footprint, power consumption, temperature requirements, instability - to leapfrog super computers as the platform for the future? See how quantum simulators are helping to overcome those challenges and enabling researchers and end users alike the ability to develop quantum algorithms that will solve problems faster leading to new pharmaceuticals and medical treatments, improved financial modeling and weather forecasting, cheaper energy production and much more.
Quantum Computing: Future Proofing What Lies Beyond Super Computing
The race is on, as more computing power is required to solve some of the most complex, data-intensive problems in existence today. How will quantum computing overcome its inherent challenges - cost, footprint, power consumption, temperature requirements, instability - to leapfrog super computers as the platform for the future? See how quantum simulators are helping to overcome those challenges and enabling researchers and end users alike the ability to develop quantum algorithms that will solve problems faster leading to new pharmaceuticals and medical treatments, improved financial modeling and weather forecasting, cheaper energy production and much more. Presented in conjunction with Dr. Tim Oates, Principal Data Scientist, Atos
HPC Workloads in the Public Cloud
Everyone is looking to migrate work loads to the public cloud, but is it ready for high performance computing workloads? The talk covers the short-comings of public cloud networks, compute resources, and storage when it comes to advanced high performance computing applications like the weather forecasting code (WRF) and gives guidance to the cloud providers and code developers on how to overcome these issues. Video coming soon.