Examples of using Computing architecture in English and their translations into Japanese
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CUDA is NVIDIA's parallel computing architecture.
Cloud native computing architectures and technologies such as containers can provide many advantages because of their speed, scale, and economic benefits.
Multiple data types and scenarios are driving computing architecture optimization.
As a parallel computing architecture released by NVIDIA, CUDA enables dramatic increases in computing performance by harnessing the power of the GPU(graphics processing unit).
Those early systems represented some of the first centralized computing architectures.
For more on other distributed computing architectures, see Vo and Silvia(2016).
The NXP S32 platform is theworld's first fully scalable automotive computing architecture.
Eucalyptus(Elastic Utility Computing Architecture for Linking Your Programs to Useful Systems).
Brad is considered the father of Citrix's Independent Computing Architecture(ICA) protocol.
Eucalyptus(Elastic Utility Computing Architecture for Linking Your Programs to Useful Systems).
January 1998:Oracle releases Oracle Applications 10.7 Network Computing Architecture(NCA).
Eucalyptus stands for Elastic Utility Computing Architecture for Linking Your Programs to Useful Systems.
Schmidt gave IBM lots ofcredit for pioneering many of the technologies that underlie today's computing architectures.
Eucalyptus is the acronym for Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems.
This is a Linux equivalent to Microsoft's Remote Desktop Protocol(RDP)and Citrix's Independent Computing Architecture(ICA).
But due to the impending demise of Moore's Law, today's computing architecture is inadequate to handle AI's massive processing demands.
First public cloud provider tosupport NVIDIA HGX-2 to give customers access to a unified data science, HPC and AI computing architecture.
The shape of the communications and computing architecture- i.e. centralized or decentralized(using edge computing)- is still a debate.
First public cloud provider to support NVIDIA HGX-2 to give customers access to a unified data science,HPC and AI computing architecture.
The revolutionary NVIDIA Clara AGX computing architecture is based on the NVIDIA Xavier AI computing module and NVIDIA Turing GPUs.
The number of high-performance computing(HPC) installations using blade servers on the TOP500 listhas increased more than any other single computing architecture.
Researchers from two teams now working with Intelhave reported advances in a new quantum computing architecture, called spin qubits, in a pair of papers out today.
NVIDIA created the Clara AGX computing architecture to help the next generation of medical instruments address the challenge of processing the massive sea of data- tens to thousands of gigabytes worth- generated each second, so it can be interpreted by doctors and scientists.
To support research activities as efficiently and feasibly as possible, we are working on BriCA,the Brain-inspired Computing Architecture, together with partners such as RIKEN, Dwango AI Lab., and Keio University.
This major milestone in The Machine research project demonstrated that the team's breakthroughs in photonic communications, non-volatile memory, systems architecture andnew programming models could come together into a unified Memory-Driven Computing architecture.
Our research targets spread in variousHPC systems including high performance computing architecture, parallel programming language, massively parallel numerical algorithms and libraries, GPU-accelerated computing system, large scale distributed storage system and grid/cloud technology.
With 24 server nodes in a compact 3U chassis, the Quanta STRATOS S900-X31A is the most advanced microserver built upon Intel® Atom™ processorS1200 product family which supports 64-bit computing architecture and ECC memory for the enterprise.
It also discusses the usability of the Fujitsu Intelligent Networking and Computing Architecture(FINCA) concept for ICT virtualization and flexibility improvement proposed by Fujitsu, and themes for future network studies to realize wireless access technologies for 5G.
As an optimized parallel computing architecture, the QuantaGrid D52BV-2U breaks hardware configuration limitations in a 2U dual-socket system by supporting up to four accelerator cards, 3TBs of memory, and 8 large form factor storage bays, which makes the D52BV a perfect versatile platform for parallel computing-intensive applications such as VDI, HPC, and AI/Deep learning.
But ML also presents major challenges to conventional compute architectures.