How HPC got here and where it's going
The next generation of high-performance computing is emerging, promising advances beyond anything seen before. Such capabilities will not only drive new scientific, business, and other applications but will change how we go about everyday life—in ways many of us will be unaware of.
Combined with artificial intelligence, machine learning, data analytics, and other technologies—often deployed at the edge—HPC impacts everything from space exploration, drug discovery, and weather prediction to financial modeling, automotive design, and systems engineering.
And, as our coverage of the fast-moving HPC space shows, organizations both large and small will be able to tap the power of high-performance computers through as-a-service and other models, opening up opportunities across industries.
Want to learn more? Check out these stories on the latest HPC developments and what's to come.
With traditional semiconductors reaching the limits of miniaturization and capacity, a new approach is needed to power autonomous vehicles, robots, drones, and other self-reliant machines. One promising alternative is neuromorphic computing, whereby computing devices mimic the physics of the human brain.
Supercomputing is entering an era in which upcoming exascale machines combined with AI promise to not only help solve some of the world's biggest problems, such as climate change and drug discovery, but drive business applications like automotive design and financial modeling.
With twice the computing power of its predecessor, HPE's Spaceborne Computer-2 launched to the ISS in February to support missions to—and the potential colonization of—the moon and Mars. But it will also advance research ranging from human biology to climate change, thanks to high-performance edge computing and AI capabilities.
Michael Roberts, interim chief scientist at the International Space Station National Laboratory, discusses the HPE Spaceborne Computer-2 mission, with a look at how the ISS will use the supercomputer's next-gen edge computing capabilities to not only advance space exploration but accelerate the discovery of applications that benefit us here on earth.
Data-intensive technologies such as AI and machine learning need high-performance computing capabilities to work well, but most companies don't have the resources to deploy HPC systems. But there is a way the average business can benefit from the power of supercomputing: HPC-as-a-service offerings such as HPE GreenLake for HPC.
In the early days of the pandemic, IT showed its value in ways no one had foreseen. In 2021, it is helping us rebuild and move forward—also in significant ways. In this Tech Talk podcast, experts highlight some of the top areas IT and business leaders are focused on in 2021, including energy and capability gaps as well as trustworthy and ethical AI.
The challenge of finding ways to prevent and treat COVID-19 has been immense because the scale of data involved in such research is so vast. For a human researcher, digesting even a fraction of the knowledge available is impossible. But with high-end supercomputers, searching 30 terabytes of medical data and more than 150 billion records takes just seconds.
Supercomputers are the heavyweights of IT systems, impacting our lives in ways most of us are unaware of. The advances high-performance computing brings have trickled down into things we do every day, like checking the weather, driving to the doctor's office, watching a movie, or managing our bank accounts.
Exascale computing isn't just about performance and winning the title in today's speeds and feeds race. The launch of new exascale systems from HPE Cray and others will bring a new generation of supercomputing capabilities to scientific exploration, artificial intelligence, data analysis, and much more.
Q&A: Argonne National Laboratory's Rick Stevens talks about 'the biggest, baddest' computer in the world
We are on the cusp of a new computing age, with one of the nation's first exascale computers, Aurora, set to go live at Argonne National Laboratory in the near future. Such exascale machines will be many times more powerful than the fastest supercomputers in existence today, promising to radically accelerate virtually every field of scientific research—from climate change to alternative fuels to new vaccines.
Supercomputers are changing the way we work for the better, but the people behind the data are what matters when trying to solve complex problems. Dr. Jerome Baudry discusses his COVID research, lessons learned along the way, and what you might find him doing when he has downtime.
Equal to a billion-billion calculations per second, the 18 zeros of power that exascale computing is set to bring will take supercomputing to the next level. In this discussion at The Atlantic Festival, Dr. Eng Lim Goh details how exascale computing will not only speed the discovery of solutions to problems we face today but reveal questions we haven't yet thought to ask.
To paraphrase baseball great Yogi Berra, it's hard to make predictions based on the future. But that's exactly what IT and business leaders across industries are tasked with. With a new generation of high-performance computing, AI, and data analysis tools, that will become easier, driving advances in medicine, finance, logistics, and beyond.
Artificial intelligence has been used to analyze data about weather and climate for years. But with a boost from increasingly powerful high-performance computers and a massive volume of data, scientists are beginning to apply AI to create forecasts that are more accurate, more granular, and further reaching.
The key to delivering consistent business value with AI is to employ operational machine learning workflows that fully integrate ML models into standard enterprise processes in a reliable and repeatable fashion. With MLOps, organizations can make processes more efficient and better support the launch of new products and services.
Aerospace companies can optimize manufacturing processes by leveraging AI with high-performance computing technologies throughout the lifecycle of a product. Enhanced processes not only protect budgets and avoid static production rates but keep businesses ahead of the innovation curve. Learn three ways to get the most from using model-based systems engineering.
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