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CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
21 May 2013

CUDA Programming: A Developer's Guide to Parallel Computing with GPUs

Shane Cook, "CUDA Programming: A Developer's Guide to Parallel Computing with GPUs"
ISBN: 0124159338 | 2012 | PDF | 600 pages | 17 MB

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
21 May 2013

CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
ISBN: 0124159338 | 2012 | PDF | 600 pages | 17 MB

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.
CUDA-Z 0.7.181 Portable
5 May 2013

CUDA-Z 0.7.181 Portable


CUDA-Z 0.7.181 Portable | 2.5 Mb


CUDA-Z is GPU tool like GPU-Z or GPU Caps Viewer that gives you information about your GPU(s). And as its name says it, CUDA-Z is focused on NVIDIA CUDA GPU computing API. NVIDIA CUDA being available under Windows, Linux and Mac OS X, CUDA-Z is also available under the three operating systems thanks to Qt.
Pluralsight - Parallel Computing with CUDA With Dmitri Nesteruk (2013)
6 October 2013

Pluralsight - Parallel Computing with CUDA With  Dmitri Nesteruk (2013)

Pluralsight - Parallel Computing with CUDA With Dmitri Nesteruk (2013) | 919 MB
Duration: 4h 12m | Video: AVC (.mp4) 1024x768 15fps | Audio: AAC 44.1KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English


An entry-level course on CUDA - a GPU programming technology from NVIDIA.
This introductory course on CUDA shows how to get started with using the CUDA platform and leverage the power of modern NVIDIA GPUs. It covers the basics of CUDA C, explains the architecture of the GPU and presents solutions to some of the common computational problems that are suitable for GPU acceleration.
Pluralsight - Parallel Computing with CUDA Video Training
6 October 2013

Pluralsight - Parallel Computing with CUDA Video Training
Pluralsight - Parallel Computing with CUDA Video Training | 919 MB
Duration: 4h 12m | Video: AVC (.mp4) 1024x768 15fps | Audio: AAC 44.1KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

An entry-level course on CUDA - a GPU programming technology from NVIDIA.
This introductory course on CUDA shows how to get started with using the CUDA platform and leverage the power of modern NVIDIA GPUs. It covers the basics of CUDA C, explains the architecture of the GPU and presents solutions to some of the common computational problems that are suitable for GPU acceleration.
Creating Handmade Books by Alisa Golden
5 April 2012


Creating Handmade Books by Alisa Golden
Creating Handmade Books by Alisa Golden
English | JPG | 128 Pages | 109.74 Mb

Everyone has a story to tell--so make your own book to tell it with! From the scissors that snip the pages to the glues and stitches and ties that bind them; from elaborate compound structures with pockets to multiple signatures in a thick, sewn volume, here are the techniques you need and the styles you want. Cut and fold pages in a simple accordion, or hide a second book inside. Create pop-ups, fan, and slot-and-tab books. Construct handscrolls and hanging ones, soft- and hardcovers, even portfolios and boxes. Hundreds of illustrations and diagrams will guide you, and dozens of striking pictures will seize your imagination! The author lives in Berkeley, CA. 128 pages (all in color), 8 1/2 x 10. NEW IN PAPERBACK
Vincent Rio – Alisa (The Album) (2010)
8 January 2011


Vincent Rio – Alisa (The Album) (2010)
Vincent Rio – Alisa (The Album) (2010)
10 Tracks | 77 Min | MP3 320kbps 44,1kHz | 177 MB
Genre: Techno/Minimal
Vincent Rio – Alisa (The Album) (2010)
9 January 2011

Vincent Rio – Alisa (The Album) (2010)

Vincent Rio – Alisa (The Album) (2010)
Release: 2010
MP3 | 320 kbps | 177.4 MB
Genre: Techno/Minimal
Total Time: 77min
CUDA by Example: An Introduction to General-Purpose GPU Programming
18 October 2010

CUDA by Example: An Introduction to General-Purpose GPU Programming

CUDA by Example: An Introduction to General-Purpose GPU Programming

Addison-Wesley 2010 | 312 | ISBN: 0131387685 | PDF | 2 Mb

CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required–just the ability to program in a modestly extended version of C. ...
CUDA by Example: An Introduction to General-Purpose GPU Programming
18 October 2010

CUDA by Example: An Introduction to General-Purpose GPU Programming

CUDA by Example: An Introduction to General-Purpose GPU Programming

Addison-Wesley 2010 | 312 | ISBN: 0131387685 | PDF | 2 Mb

CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required–just the ability to program in a modestly extended version of C. ...