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quantumcomputingreport.com /1 month ago

Q-CTRL Proposes Heterogeneous Architecture to Optimize Fault-Tolerant Resource Requirements

Overview of Q-NEXUS: a heterogeneous architecture made of specialized functional modules connected through an interconnect bus Q-CTRL has introduced Q-NEXUS, a heterogeneous quantu...

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theregister.com /1 week ago

Uncle Sam's next big supercomputer might use something more exotic than GPUs

Chip startup NextSilicon's high-performance-computing-focused accelerators get Sandia National Lab's stamp of approval

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webwire.com /1 month ago

Helping data centers deliver higher performance with less hardware

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device...

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phoronix.com /1 week ago

FluidX3D Lands A Big Speed-Up For This OpenCL CFD Software

Released this week was FluidX3D 3.7, the latest feature update to this computational fluid dynamics (CFD) software that is CPU/GPU accelerated by way of OpenCL...

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thequantuminsider.com /1 month ago

DARPA Launches HARQ to Build Multi-Qubit Quantum Systems

Insider Brief PRESS RELEASE — DARPA has launched the Heterogeneous Architectures for Quantum (HARQ) program, an effort aimed at overcoming one of the most persistent barriers in qu...

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towardsdatascience.com /1 month ago

What It Actually Takes to Run Code on 200M€ Supercomputer

Inside MareNostrum V: SLURM schedulers, fat-tree topologies, and scaling pipelines across 8,000 nodes in a 19th-century chapel The post What It Actually Takes to Run Code on 200M€...

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quantumcomputingreport.com /1 month ago

DARPA Selects memQ to Develop Heterogeneous Quantum Compiler Tools

memQ has been selected by the Defense Advanced Research Projects Agency (DARPA) to develop a hardware- and network-aware quantum compiler under the Heterogeneous Architectures for...

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phoronix.com /1 month ago

OpenCL Introducing Cooperative Matrix Extensions For Machine Learning

Back in 2023 the Vulkan API introduced its initial Cooperative Matrix extension and necessary SPIR-V integration for helping with machine learning / AI inferencing use. Since then...

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