Books on the topic 'Graphics Processing Unit (GPU) Programming'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 47 books for your research on the topic 'Graphics Processing Unit (GPU) Programming.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse books on a wide variety of disciplines and organise your bibliography correctly.
Engel, Wolfgang. GPU pro 6: Advanced rendering techniques. CRC Press/Taylor Francis Group, 2016.
Find full textMatt, Pharr, and Fernando Randima, eds. GPU gems: Programming techniques for high- performance graphics and general-purpose computation. Addison-Wesley, 2005.
Find full textMatt, Pharr, and Fernando Randima, eds. GPU gems 2: Programming techniques for high- performance graphics and general-purpose computation. Addison-Wesley, 2005.
Find full textEdward, Kandrot, ed. CUDA by example: An introduction to general-purpose GPU programming. Addison-Wesley, 2010.
Find full textFernando, Randima, and Matt Pharr. GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation (Gpu Gems). Addison-Wesley Professional, 2005.
Find full textThe Cuda Handbook A Comprehensive Guide To Gpu Programming. Addison-Wesley Professional, 2012.
Find full textEngel, Wolfgang. GPU Pro 360 Guide to Geometry Manipulation. Taylor & Francis Group, 2018.
Find full textEngel, Wolfgang. GPU Pro 360 Guide to 3D Engine Design. Taylor & Francis Group, 2018.
Find full textEngel, Wolfgang. GPU Pro 360 Guide to 3D Engine Design. Taylor & Francis Group, 2018.
Find full textGraphic Processing Unit-Based High Performance Computing in Radiation Therapy. Taylor & Francis Group, 2015.
Find full textDey, Somdip. Efficient Data Input/Output (I/o) for Finite Difference Time Domain (FDTD). Computation on Graphics Processing Unit (GPU). GRIN Verlag GmbH, 2019.
Find full text