Cuda Succinctly
Language: English
C++ CUDA Computers GPU General Learn how CUDA enables parallel programming via NVIDIA GPUs. NVIDIA Succinctly series Syncfusion parallel programming
Publisher: CreateSpace Independent Publishing Platform
Published: Feb 15, 2017
Description:
GPUs can be used for much more than graphics processing. As opposed to a CPU, which can only run four or five threads at once, a GPU is made up of hundreds or even thousands of individual, low-powered cores, allowing it to perform thousands of concurrent operations. Because of this, GPUs can tackle large, complex problems on a much shorter time scale than CPUs. Dive into parallel programming on NVIDIA hardware with CUDA Succinctly by Chris Rose, and learn the basics of unlocking your graphics card.