{ "item_title" : "Heterogeneous Computing with Opencl 2.0", "item_author" : [" David R. Kaeli", "Perhaad Mistry", "Dana Schaa "], "item_description" : "Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including:- Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources- Dynamic parallelism which reduces processor load and avoids bottlenecks- Improved imaging support and integration with OpenGLDesigned to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/12/801/414/0128014148_b.jpg", "price_data" : { "retail_price" : "74.95", "online_price" : "74.95", "our_price" : "74.95", "club_price" : "74.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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