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Tapping into new 'probabilistic computing' paradigm can make AI chips use much less power, scientists say

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...
EDN

A paradigm shift for high-performance computing

In January we gave NVIDIA’s CUDA (Compute Unified Device Architecture) software tools that allows C programmers to use multiple high-performance GPU cards to perform massively parallel computations ...
insideHPC

ISC 2026 Conference Announces Keynote from Dr. Martin Schulz on the Post-Moore Era

The ISC High Performance conference announced that Professor Dr. Martin Schulz, a leading European expert in large-scale - ...
Semiconductor Engineering

Optimizing Hardware Capacity, Utilizing Automatic Differentiation to Efficiently Compute Derivatives in Parallel Programming Models

A technical paper titled “Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation” was published by researchers at MIT (CSAIL), Argonne National Lab, and TU ...