Abstract: We propose the first graphics processing unit (GPU) solution to compute the 2D constrained Delaunay triangulation (CDT) of a planar straight line graph (PSLG) consisting of points and edges.

Abstract: A multi-GPU implementation of the multilevel fast multipole algorithm (MLFMA) based on the hybrid OpenMPCUDA parallel programming model (OpenMP-CUDA-MLFMA) is presented for computing ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...

This section describes the stream memory operations of the low-level CUDA driver application programming interface. Support for the CU_STREAM_WAIT_VALUE_NOR flag can ...

Nvidia was founded by three chip designers (including Jensen Huang, who became CEO) in 1993. By 1997 they had brought a successful high-performance 3D graphics processor to market; two years later the ...

Visual computing tasks such as 3D graphics and image processing are increasingly important to the capabilities and overall user experience delivered by computer systems ranging from high-end ...

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing.

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...

More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating ...