J. Dally, "The gpu computing era," IEEE micro, 2010.John Nickolls and William J. Dally. The GPU computing era. IEEE Micro, 30:56-69, 2010.NICKOLLS, J. AND DALLY, W. 2010. The GPU computing era. IEEE Micro 30, 2, 56-69.
GPUs excel at something called parallel computing, taking a complex problem, dividing it up into small sets of calculations, and solving them in parallel very quickly.GPU 擅长于所谓的并行计算，将复杂问题分解为小的计算集，然后非常快速地并行求解。So anything that is sort of numerically intensive, a...
THE ERA OF AI Three converging forces brought about the era of AI: the availability of immense stores of data, the invention of deep learning algorithms, and the intense performance of GPU computing. New internet services, like Google Assistant, have learned speech from sound. Self-driving cars...
Before the GPU was used for AI computing, the CPU was responsible for computing tasks. However, with the sharp increase in AI computing demand, the computing efficiency of the CPU could not meet the demand, resulting in a "CPU+GPU" heterogeneous computing architecture, as shown in the upper ...
The Next Era of Computing in Higher Education and Research Introduction Use Cases Success Stories News and Events Technology Resources Recruiting Get Started Stay Informed Explore Limitless Learning in Academia Academic institutions are at the forefront of nurturing the next generation in ...
CTO of the HUAWEI CLOUD BU, Zhang Yuxin, believes that the advent of the Cloud 2.0 era is significantly different from the Internet development of the past decade. First, he points the trend of how enterprises are actively moving to the cloud, especially when migrating key applications. Whereas...
But he says that right now in AI machine learning, we seem to be in an era where there's just a lot of low-hanging fruit, that there have been some breakthroughs. And instead of exhausting the space, like picking all the food off of a tree, it's more like combinatorics. In second...
Accelerating HPDA with Huawei Scale-Out Storage in the AI Era: Fully Utilizing Data Acceleration Engines Cutting-edge artificial intelligence (AI) foundation models like ChatGPT have been brought to the forefront of innovation in fields like big data analytics and high-performance computing (HPC). ...
Low latency storage. A computing cluster of this scale is actually very difficult to achieve in a physical supercomputing center. In the era of AI sailing, it is obviously the most reasonable solution to obtain high-performance computing power for machine learning and deep learning from the cloud...
PIConGPU - Particle-in-Cell Simulations for the Exascale Era Introduction PIConGPU is a fully relativistic,manycore, 3D3V particle-in-cell (PIC) code. The Particle-in-Cell algorithm is a central tool in plasma physics. It describes the dynamics of a plasma by computing the motion of electron...