CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics ...

Micron is challenging conventional computer architectures conceived decades ago with Automata, a highly parallel processor that can change its behavior to process the task at hand. The Automata ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now ...

The AI era is upon us. With generative AI continuing to push forward, companies like Intel, AMD, and Qualcomm are also talking about the hardware side of the equation. With the introduction of the NPU ...

Network infrastructure faces persistent challenges in validation accuracy and real-time security monitoring as distributed systems grow in scale and ...