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OpenACC: Things Are Getting Simpler More Quickly
OpenACC is one of the prongs in a multi-prong strategy to get people to port the parallel portions of HPC applications to accelerators. …
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Compiling History To Understand The Future
If you want to understand where we are going with computer architectures and the compilers that drive them, it is instructive to look at how compilers have made the leap from architecture to architecture starting six decades ago. …
AI
Self-Creating Neural Networks That Explain Themselves
On the hardware side, the next frontier for deep learning innovation will be in getting the performance, efficiency, and accuracy needed for inference at scale. …
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Slashing HPC Energy Costs With Automated, Dynamic Optimization
A high-end supercomputer consumes nearly as much energy as a small city, which creates significant budgetary concerns for organizations that deploy and manage these systems. …
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The State of MPI for Future Exascale Systems
A working group formed on behalf of the Exascale Computing Project (ECP) in the U.S. …
AI
Bringing Machine Learning Within Reach Of Enterprises
Enterprises that want to leverage the huge amounts of data they are generating to gain useful insights and make faster and better business decisions are going to have to use machine learning at scale for modeling and training. …
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Toward Open, Extensible Quantum Programming
As the rubber begins to meet the road for quantum computing, the conversation is shifting from one about the practicality of hardware to how future users will interface with quantum systems. …
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Replacing Linux with a Database System
When it comes to building extreme scale computing platforms, there are plenty of system design options but in supercomputing, the only practical choice for an OS is Linux. …
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Microsoft Builds Quantum Strategy Around Q#
There is no way to predict which quantum system will garner system share in the next years, but most large chip, system, and software companies are hedging their bets and establishing a quantum research effort in the form of hardware, simulations, or software stacks. …
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Why an Active Ontology Matters for Data Science
No matter what language or techniques are being applied, there are enough similarities between data science approaches that some broad parallels can be drawn. …