Autonomous vehicles (AV) are transforming the way we live, work, and play—creating safer and more efficient roads. In the future, every vehicle may be autonomous: cars, trucks, taxis, buses, and shuttles. AI and AV are transforming mobility and logistics, creating new business models and enormous efficiencies for the $10T transportation industry. These revolutionary benefits require massive…
]]>This is the third post in the CUDA Refresher series, which has the goal of refreshing key concepts in CUDA, tools, and optimization for beginning or intermediate developers. Ease of programming and a giant leap in performance is one of the key reasons for the CUDA platform’s widespread adoption. The second biggest reason for the success of the CUDA platform is the availability of a broad and…
]]>This is the second post in the CUDA Refresher series, which has the goal of refreshing key concepts in CUDA, tools, and optimization for beginning or intermediate developers. Advancements in science and business drive an insatiable demand for more computing resources and acceleration of workloads. Parallel programming is a profound way for developers to accelerate their applications. However…
]]>This is the first post in the CUDA Refresher series, which has the goal of refreshing key concepts in CUDA, tools, and optimization for beginning or intermediate developers. Scientific discovery and business analytics drive an insatiable demand for more computing resources. Many applications—weather forecasting, computational fluid dynamics simulations, and more recently machine learning and…
]]>Some of the fastest computers in the world are cluster computers. A cluster is a computer system comprising two or more computers (“nodes”) connected with a high-speed network. Cluster computers can achieve higher availability, reliability, and scalability than is possible with an individual computer. With the increasing adoption of GPUs in high performance computing (HPC)…
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