Aggregate gaze visualization with real-time heatmaps
Proceedings of the Symposium on Eye Tracking Research and Applications
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs
Proceedings of the 26th ACM international conference on Supercomputing
Proceedings of the 2012 Symposium on High Performance Computing
Graphics programming for the web
ACM SIGGRAPH 2012 Courses
Accelerated parallel genetic programming tree evaluation with OpenCL
Journal of Parallel and Distributed Computing
Heterogeneous multi-core systems: UML profiles vs. DSM approaches
Proceedings of the 2012 workshop on Domain-specific modeling
A fully parallel, high precision, N-body code running on hybrid computing platforms
Journal of Computational Physics
Proceeding of the 44th ACM technical symposium on Computer science education
Combining GPU data-parallel computing with OpenGL
ACM SIGGRAPH 2013 Courses
Feature line extraction from unorganized noisy point clouds using truncated Fourier series
The Visual Computer: International Journal of Computer Graphics
Heterogeneous-race-free memory models
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
Proceedings of Workshop on General Purpose Processing Using GPUs
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Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 specifically for working developers and software architects. Written by five leading OpenCL authorities, OpenCL Programming Guide covers the entire specification. It reviews key use cases, shows how OpenCL can express a wide range of parallel algorithms, and offers complete reference material on both the API and OpenCL C programming language. Through complete case studies and downloadable code examples, the authors show how to write complex parallel programs that decompose workloads across many different devices. They also present all the essentials of OpenCL software performance optimization, including probing and adapting to hardware. Coverage includes Understanding OpenCLs architecture, concepts, terminology, goals, and rationaleProgramming with OpenCL C and the runtime APIUsing buffers, sub-buffers, images, samplers, and eventsSharing and synchronizing data with OpenGL and Microsofts Direct3DSimplifying development with the C++ Wrapper APIUsing OpenCL Embedded Profiles to support devices ranging from cellphones to supercomputer nodesCase studies dealing with physics simulation; image and signal processing, such as image histograms, edge detection filters, Fast Fourier Transforms, and optical flow; math libraries, such as matrix multiplication and high-performance sparse matrix multiplication; and more