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1 - 2 - 1.2- Introduction to Heterogeneous Parallel Computing.mp4
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1 - 3 - 1.3- Portability and Scalability in Heterogeneous Parallel Computing.mp4
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1 - 4 - 1.4- Introduction to CUDA, Data Parallelism and Threads.mp4
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1 - 5 - 1.5- Introduction to CUDA, Memory Allocation and Data Movement API.mp4
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1 - 6 - 1.6- Introduction to CUDA, Kernel-Based SPMD Parallel Programming.mp4
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1 - 7 - 1.7- Kernel-based Parallel Programming, Multidimensional Kernel Configuration.mp4
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1 - 8 - 1.8- Kernel-based Parallel Programming, Basic Matrix-Matrix Multiplication.mp4
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2 - 1 - 2.1- Kernel-based Parallel Programming - Thread Scheduling.mp4
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2 - 1 - 2.1- Kernel-based Parallel Programming - Thread Scheduling.srt
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2 - 1 - 2.1- Kernel-based Parallel Programming - Thread Scheduling.txt
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2 - 2 - 2.2- Control Divergence.mp4
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2 - 2 - 2.2- Control Divergence.srt
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2 - 2 - 2.2- Control Divergence.txt
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2 - 3 - 2.3- Memory Model and Locality -- CUDA Memories.mp4
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2 - 4 - 2.4- Tiled Parallel Algorithms.mp4
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2 - 5 - 2.5- Tiled Matrix Multiplication.mp4
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2 - 5 - 2.5- Tiled Matrix Multiplication.srt
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2 - 6 - 2.6- Tiled Matrix Multiplication Kernel.mp4
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2 - 7 - 2.7- Handling Boundary Conditions in Tiling.mp4
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2 - 8 - 2.8- A Tiled Kernel for Arbitrary Matrix Dimensions.mp4
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3 - 1 - 3.1- Performance Considerations - DRAM Bandwidth.mp4
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3 - 2 - 3.2- Performance Considerations - Memory Coalescing in CUDA.mp4
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3 - 3 - 3.3- Parallel Computation Patterns - Convolution.mp4
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3 - 3 - 3.3- Parallel Computation Patterns - Convolution.srt
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3 - 4 - 3.4- Parallel Computation Patterns - Tiled Convolution.mp4
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3 - 4 - 3.4- Parallel Computation Patterns - Tiled Convolution.srt
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3 - 5 - 3.5- Parallel Computation Patterns - 2D Tiled Convolution Kernel.mp4
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3 - 5 - 3.5- Parallel Computation Patterns - 2D Tiled Convolution Kernel.srt
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3 - 6 - 3.6- Parallel Computation Patterns - Data Reuse in Tiled Convolution.mp4
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3 - 6 - 3.6- Parallel Computation Patterns - Data Reuse in Tiled Convolution.srt
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4 - 1 - 4.1- Parallel Computation Patterns - Reduction.mp4
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4 - 2 - 4.2- Parallel Computation Patterns - A Basic Reduction Kernel.mp4
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4 - 3 - 4.3- Parallel Computation Patterns - A Better Reduction Kernel.mp4
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4 - 4 - 4.4- Parallel Computation Patterns - Scan (Prefix Sum).mp4
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4 - 5 - 4.5- Parallel Computation Patterns - A Work-Inefficient Scan Kernel.mp4
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4 - 6 - 4.6- Parallel Computation Patterns - A Work-Efficient Parallel Scan Kernel.mp4
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4 - 7 - 4.7- Parallel Computation Patterns - More on Parallel Scan.mp4
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5 - 1 - 5.1- Parallel Computation Patterns - Histogramming.mp4
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5 - 2 - 5.2- Parallel Computation Patterns - Atomic Operations.mp4
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Lecture-3-6-convolution-reuse.pdf
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Lecture-4-3-better-reduction-kernel.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-1-Overview.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-2-heterogeneous.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-3-software-cost.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-4-cuda-intro.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-5-cuda-API.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-6-cuda-kernel.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-7-kernel-multidimension.pdf
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hetero-lecture_slides_002-Lecture 1-Lecture-1-8-kernel-matrix-multiplication.pdf
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hetero-lecture_slides_002-Lecture 2-Lecture-2-1-transparent-scaling.pdf
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hetero-lecture_slides_002-Lecture 2-Lecture-2-3-cuda-memories.pdf
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hetero-lecture_slides_002-Lecture 2-Lecture-2-7-boundary-condition.pdf
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Гетерогенное параллельное программирование.docx
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Рекомендуемая литература David B. Kirk, Wen-mei W. Hwu Programming Massively Parallel Processors, Second Edition.pdf
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![Heterogeneous Parallel Programming [2014, ENG]](/static/img/no-torrent-image.png "Heterogeneous Parallel Programming [2014, ENG]")
