HPE highlights recent research that explores the performance of GPUs in scale-out and scale-up scenarios for deep learning training. As companies begin to move deep learning projects from the ...
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Integrated Monte Carlo and deep learning improve radiotherapy QA
Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...
In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. The challenge of training a ...
Originally designed to accelerate computer image processing, graphics processing units (GPUs) are specialized circuits typically used primarily for gaming. With the boom in generative AI, though, GPUs ...
GPU virtualisation has emerged as a transformative approach, enabling the decoupling of physical graphics processing units from individual compute nodes. This technique allows multiple users or ...
Supercomputing has shifted into the mainstream, with recent AI advancements and adoption making the use of massive amounts of ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...
Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
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