This paper presents GpuCV, an open source multi-platform library for easily developing GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. It is designed to be compatible with Intel’s OpenCV library by oﬀering GPU-accelerated operators that can be integrated into native OpenCV applications.
Tập trung vào chương này lập bản đồ thuật toán hình ảnh hyperspectral để xử lý đồ họa
đơn vị (GPU). Hiệu suất và khả năng xử lý song song của những
các đơn vị, cùng với kích thước nhỏ gọn của họ và chi phí thấp tương đối, làm cho 'em hấp dẫn
cho xử lý dữ liệu trên máy bay. Chúng tôi bắt đầu bằng cách Đưa ra một đánh giá ngắn về kiến trúc GPU.
Today the term big data draws a lot of attention, but behind the hype there's a simple
story. For decades, companies have been making business decisions based on
transactional data stored in relational databases. Beyond that critical data, however, is a
potential treasure trove of non-traditional, less structured data: weblogs, social media,
email, sensors, and photographs that can be mined for useful information. Decreases in
the cost of both storage and compute power have made it feasible to collect this data -
which would have been thrown away only a few years ago.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:
Research Article GPU-Based FFT Computation for Multi-Gigabit WirelessHD Baseband Processing
his book has two main goals: to provide a unifed and structured overview of this growing field, as well as to propose a corresponding software framework, the OpenTL library, developed by the author and his working group at TUM-Informatik.
The main objective of this work is to show, how most real-world application scenarios can be naturally cast into a common description vocabulary, and therefore implemented and tested in a fully modular and scalable way, through the defnition of a layered
This book provides some recent advances in design nanometer VLSI chips. The selected topics try to present some open problems and challenges with important topics ranging from design tools, new post-silicon devices, GPU-based parallel computing, emerging 3D integration, and antenna design.
Capitalize on the faster GPU processors in today's computers with the C++ AMP code library--and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing this technology in your applications.
It seems an obvious question to ask at the beginning of an HLSL and shader book; what
exactly is a shader? It’s a small program or algorithm written explicitly to run on a
computer Graphics Processing Unit (GPU). It provides a way for developers to extend
the rendering capabilities of the GPU. Any program that works closely with graphics will
benefit from using shaders. The video game industry spins off custom shaders by the
thousands, they are as vital to game projects as business entity classes are to line of