The optimisation of GPU kernels through performance tuning and auto-tuning approaches has become essential in maximising computational efficiency on modern heterogeneous architectures. Researchers ...
GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...
Nvidia isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...
Generative artificial intelligence models will become more powerful than ever, thanks to a new, more advanced architecture for graphics processing units announced by Nvidia Corp. today. The company ...
Revolutionary dedicated HW/SW acceleration platform leverages GPU and CPU computing and proprietary software algorithms to deliver up to 100X design impact through accuracy, speed and scale ...
Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the increased complexity of writing code and the ever-growing demand for compute power.
[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...
ARLINGTON, Va., Jan. 22, 2026 /PRNewswire/ -- Corvex, Inc., an AI cloud computing company specializing in GPU-accelerated infrastructure for AI workloads, today announced a long-term GPU lease ...
Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...
Efficiency and innovation are often touted as hallmark attributes of generative AI. But as more enterprise businesses look to integrate the technology into their workflows, confidentiality — in data ...
Sensors and vehicle platforms remain capable for decades. The factor limiting their lethality is the computing hardware sitting between the sensors and the shooter. By treating that hardware as ...
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