Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...

A Graphics Processing Unit or GPU in short is used as a co-processor along with the CPU for heavy tasks and computing. Generally, GPUs are used to accelerate or speed up memory-intensive tasks such as ...

In 2009, Jensen Huang foresaw GPUs as AI engines, not just gaming tools, showcasing a chip combining CPU and GPU for parallel ...

One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

According to Gartner, the best-run organizations are constantly searching for opportunities to realize efficiencies in the Run category of Gartner’s Run—Grow—Transform model in order to shift budgets ...

A growing number of HPC applications must deliver high performance on CPU and GPU hardware platforms. One software tool available now and showing tremendous promise for the exascale era is the ...

In my previous article, I discussed the role of data management innovation in improving data center efficiency. I concluded with words of caution and optimism regarding the growing use of larger, ...

Global demand for computation power continues to grow exponentially, but unfortunately, CPU capacity no longer grows exponentially. Moore's law has ended. NVIDIA's GPU-accelerated computing has the ...