literatur.bib

%
%  $Description: Sample bibliography$
%
%  $Author: rainer $
%  $Date: 2002/10/24 13:27:41 $
%  $Revision: 1.16 $
%

@misc {c_prog_guide,
    author = "NVIDIA",
    title = "CUDA C Programming Guide",
    year = 2015,
    month = "September",
    howpublished = {\\http://docs.nvidia.com/cuda/cuda\-c\-programming\-guide/index.html},
    note = "[Online; accessed 9-January-2016]"
}

@misc {c_prog_guide_cc,
    author = "NVIDIA",
    title = "CUDA C Programming Guide",
    year = 2015,
    month = "September",
    howpublished = {\\http://docs.nvidia.com/cuda/cudai\-c\-programming\-guide/index.html\#Compute\-Capabilities},
    note = "[Online; accessed 9-January-2016]"
}


@misc{sc11_perf_optimization,
    author = "Micikevicius, Paulius",
    title = "Performance Optimization",
    year = 2011,
    month = "November",
    howpublished = {\\https://www.nvidia.com/docs/IO/116711/sc11\-perf\-optimization.pdf},
    note = "[Online; accessed 10-January-2016]"
}


@misc {best_prac,
    author = "NVIDIA", 
    title = "CUDA C Best Practices Guide",
    year = "2015",
    howpublished = {http://docs.nvidia.com/cuda/cuda\-c\-best\-practices\-guide/},
    note = "[Online; accessed 9-January-2016]"
}

% December 13, 2012
@misc{pfa,
    author = "NVIDIA",
    title = "Parallel Forall Blog",
    howpublished = {http://devblogs.nvidia.com/parallelforall/},
    note = "[Online; accessed 10-January-2016]"
}

@misc {pfa_overlap,
    author = "Mark Harris",
    title = "How to Overlap Data Transfers in CUDA C/C++",
    year = "2012",
    month = December,
    howpublished = {http://devblogs.nvidia.com/parallelforall/how\-overlap\-data\-transfers\-cuda\-cc/},
    note = "[Online; accessed 9-January-2016]"
}

@misc{pfa_unified_memory,
    author = "Mark Harris",
    title = "Unified Memory in CUDA 6",
    year = "2013",
    howpublished = "http://devblogs.nvidia.com/parallelforall/unified\-memory\-in\-cuda\-6/",
    note = "[Online; accessed 9-January-2016]"
}

@misc{pfa_performance_metrics,
    author = "Mark Harris?",
    title = "How to Implement Performance Metrics in CUDA C/C++",
    year = 2012,
    month = November,
    howpublished = "http://devblogs.nvidia.com/parallelforall/how\-implement\-performance\-metrics\-cuda\-cc/",
    note = "[Online; accessed 9-January-2016]"
}

@misc{pfa_access_global,
    author = "Mark Harris",
    title = "How to Access Global Memory Efficiently in CUDA C/C++ Kernels",
    year = 2013,
    month = "January",
    howpublished = {http://devblogs.nvidia.com/parallelforall/how\-access\-global\-memory\-efficiently\-cuda\-c\-kernels/},
    note = "[Online; accessed 10-January-2016]"
}


@misc{doc_cuda22_pinnedmem,
    author = "NVIDIA",
    title = "{CUDA} 2.2 {P}inned {M}emory {APIs}",
    year = "2012",
    howpublished = "http://docs.nvidia.com/cuda/samples/0\_Simple/simpleZeroCopy/doc/CUDA2.2PinnedMemoryAPIs.pdf",
    note = "[Online; accessed 9-January-2016]"
}

@book{cuda_handbook,
    author    = "Nicholas Wilt",
    title     = "The {CUDA} {H}andbook: A Comprehensive Guide to {GPU} Programming",
    publisher = "Addison-Wesley Professional",
    year      =  2013,
    edition   = "first"
}

@book{dev_guide,
    author = "Cook, Shane",
    title = "CUDA Programming: A Developer's Guide to Parallel Computing with GPUs",
    series = "Applications of Gpu Computing",
    publisher = "Morgan Kaufmann",
    year = 2012,
    month = "November",
    edition = "first"
}

%TODO
@inbook {shane_shared_memory,
    author = "Cook, Shane",
    title = "CUDA Programming: A Developer's Guide to Parallel Computing with GPUs",
    series = "Applications of Gpu Computing",
    publisher = "Morgen Kaufmann",
    year = 2012,
    month = "November",
    edition = "first",
    pages = {120-121},
}
    


@misc{doc_intel_wc_memory,
	author = "INTEL",
	title = "",
	year = "1998",
	howpublished = "http://download.intel.com/design/PentiumII/applnots/24442201.pdf",
	note = "[Online; accessed 9-January-2016]"
}


@misc{webinar_memory_optimizations,
	author = "NVIDIA",
	title = "Advanced CUDA Webinar \-\- Memory Optimizations",
    year = "2011",
    howpublished = "http://on\-demand.gputechconf.com/gtc\-express/2011/presentations/NVIDIA_GPU_Computing_Webinars_CUDA_Memory_Optimization.pdf",
    note = "[Online; accessed 9-January-2016]"
}

@misc{visual_profiler,
    author = "NVIDIA",
    title = "{P}rofiler -- {V}isual {P}rofiler",
    year = 2015,
    month = "Semptember",
    howpublished = {http://docs.nvidia.com/cuda/profiler\-users\-guide/index.html\#visual\-profiler},
    note = "[Online; accessed 10-January-2016]"
}

@misc{nvprof,
    author = "NVIDIA",
    title = "Profiler -- nvprof",
    year = 2015,
    month = "September",
    howpublished = {http://docs.nvidia.com/cuda/profiler\-users\-guide/index.html\#nvprof\-overview},
    note = "[Online; accessed 10-January-2016]"
}

@misc{computational_fluid_dynamics,
    author = "NVIDIA",
    title = "Computational Fluid Dynamics",
    howpublished = "https://www.nvidia.com/object/computational\_fluid\_dynamics.html",
    note = "[Online; accessed 10-January-2016]"
}

@misc{machine_learning,
    author = "NVIDIA",
    title = "Machine Learning",
    howpublished = "https://www.nvidia.com/object/machine\-learning.html",
    note = "[Online; accessed 10-January-2016]"
}

@misc{data_science,
    author = "NVIDIA",
    title = "Data Science",
    howpublished = "https://www.nvidia.com/object/data\-science\-analytics\-database.html",
    note = "[Online; accessed 10-January-2016]"
}