Heterogeneous Parallel Programming

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文档列表

4 - 7 - 4.7- Parallel Computation Patterns - More on Parallel Scan.mp4 41.8 MB
4 - 5 - 4.5- Parallel Computation Patterns - A Work-Inefficient Scan Kernel.mp4 40.4 MB
4 - 6 - 4.6- Parallel Computation Patterns - A Work-Efficient Parallel Scan Kernel.mp4 39.7 MB
2 - 6 - 2.6- Tiled Matrix Multiplication Kernel.mp4 37.9 MB
3 - 6 - 3.6- Parallel Computation Patterns - Data Reuse in Tiled Convolution.mp4 33.1 MB
4 - 1 - 4.1- Parallel Computation Patterns - Reduction.mp4 32.6 MB
5 - 3 - 5.3- Parallel Computation Patterns - Atomic Operations in CUDA.mp4 32.2 MB
3 - 1 - 3.1- Performance Considerations - DRAM Bandwidth.mp4 31.0 MB
2 - 3 - 2.3- Memory Model and Locality -- CUDA Memories.mp4 30.3 MB
5 - 4 - 5.4- Parallel Computation Patters - Atomic Operations Performance.mp4 29.1 MB
1 - 4 - 1.4- Introduction to CUDA, Data Parallelism and Threads.mp4 28.4 MB
4 - 4 - 4.4- Parallel Computation Patterns - Scan (Prefix Sum).mp4 28.3 MB
2 - 5 - 2.5- Tiled Matrix Multiplication.mp4 27.1 MB
1 - 1 - 1.1- Course Overview.mp4 27.0 MB
2 - 1 - 2.1- Kernel-based Parallel Programming - Thread Scheduling.mp4 26.8 MB
3 - 5 - 3.5- Parallel Computation Patterns - 2D Tiled Convolution Kernel.mp4 26.5 MB
4 - 2 - 4.2- Parallel Computation Patterns - A Basic Reduction Kernel.mp4 26.3 MB
2 - 4 - 2.4- Tiled Parallel Algorithms.mp4 26.2 MB
3 - 4 - 3.4- Parallel Computation Patterns - Tiled Convolution.mp4 26.1 MB
1 - 5 - 1.5- Introduction to CUDA, Memory Allocation and Data Movement API.mp4 25.7 MB
1 - 6 - 1.6- Introduction to CUDA, Kernel-Based SPMD Parallel Programming.mp4 25.4 MB
5 - 5 - 5.5- Parallel Computation Patterns - A Privatized Histogram Kernel.mp4 24.4 MB
3 - 2 - 3.2- Performance Considerations - Memory Coalescing in CUDA.mp4 23.8 MB
5 - 1 - 5.1- Parallel Computation Patterns - Histogramming.mp4 23.3 MB
5 - 2 - 5.2- Parallel Computation Patterns - Atomic Operations.mp4 23.2 MB
1 - 8 - 1.8- Kernel-based Parallel Programming, Basic Matrix-Matrix Multiplication.mp4 22.8 MB
1 - 7 - 1.7- Kernel-based Parallel Programming, Multidimensional Kernel Configuration.mp4 22.7 MB
2 - 8 - 2.8- A Tiled Kernel for Arbitrary Matrix Dimensions.mp4 22.5 MB
Рекомендуемая литература David B. Kirk, Wen-mei W. Hwu Programming Massively Parallel Processors, Second Edition.pdf 22.4 MB
3 - 3 - 3.3- Parallel Computation Patterns - Convolution.mp4 22.1 MB
4 - 3 - 4.3- Parallel Computation Patterns - A Better Reduction Kernel.mp4 21.0 MB
2 - 2 - 2.2- Control Divergence.mp4 20.8 MB
2 - 7 - 2.7- Handling Boundary Conditions in Tiling.mp4 18.8 MB
1 - 2 - 1.2- Introduction to Heterogeneous Parallel Computing.mp4 18.6 MB
1 - 3 - 1.3- Portability and Scalability in Heterogeneous Parallel Computing.mp4 10.1 MB
hetero-lecture_slides_002-Lecture 1-Lecture-1-5-cuda-API.pdf 914.3 kB
Lecture-5-3-CUDA-atomic.pdf 788.2 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-4-cuda-intro.pdf 607.7 kB
Lecture-4-7-more-on-scan.pdf 593.6 kB
Lecture-5-5-privatized-histogram.pdf 554.1 kB
Lecture-4-4-scan.pdf 539.1 kB
Lecture-3-2-memory-coalescing.pdf 524.9 kB
Lecture-3-6-convolution-reuse.pdf 518.2 kB
Lecture-5-1-histogram.pdf 513.9 kB
Lecture-3-3-convolution.pdf 511.8 kB
Lecture-3-1-dram-bandwidth.pdf 510.2 kB
Lecture-4-6-work-efficient-scan-kernel.pdf 503.6 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-6-cuda-kernel.pdf 502.8 kB
Lecture-3-5-2D-convolution-kernel.pdf 488.5 kB
Lecture-3-4-tiled-convolution.pdf 463.2 kB
Lecture-5-4-atomic-performance.pdf 454.6 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-2-control-divergence.pdf 452.8 kB
Lecture-5-2-atomic-operations.pdf 447.5 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-1-transparent-scaling.pdf 440.6 kB
Lecture-4-3-better-reduction-kernel.pdf 423.9 kB
Lecture-4-2-reduction-kernel.pdf 372.1 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-7-kernel-multidimension.pdf 351.6 kB
Lecture-4-5-naive-scan-kernel.pdf 346.9 kB
Lecture-4-1-reduction.pdf 301.3 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-3-cuda-memories.pdf 301.2 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-3-software-cost.pdf 286.4 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-2-heterogeneous.pdf 278.8 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-8-kernel-matrix-multiplication.pdf 276.1 kB
hetero-lecture_slides_002-Lecture 1-Lecture-1-1-Overview.pdf 248.4 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-8-boundary-condition-kernel.pdf 239.0 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-6-tiled-kernel.pdf 236.7 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-4-tiled-algorithms.pdf 227.5 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-7-boundary-condition.pdf 180.1 kB
hetero-lecture_slides_002-Lecture 2-Lecture-2-5-tiled-matrix-multiplication.pdf 166.3 kB
2 - 6 - 2.6- Tiled Matrix Multiplication Kernel.srt 33.6 kB
4 - 1 - 4.1- Parallel Computation Patterns - Reduction.srt 29.2 kB
3 - 1 - 3.1- Performance Considerations - DRAM Bandwidth.srt 28.9 kB
Гетерогенное параллельное программирование.docx 28.3 kB
3 - 6 - 3.6- Parallel Computation Patterns - Data Reuse in Tiled Convolution.srt 27.9 kB
1 - 4 - 1.4- Introduction to CUDA, Data Parallelism and Threads.srt 27.1 kB
2 - 3 - 2.3- Memory Model and Locality -- CUDA Memories.srt 27.0 kB
4 - 5 - 4.5- Parallel Computation Patterns - A Work-Inefficient Scan Kernel.srt 26.9 kB
1 - 1 - 1.1- Course Overview.srt 26.4 kB
4 - 7 - 4.7- Parallel Computation Patterns - More on Parallel Scan.srt 25.6 kB
2 - 5 - 2.5- Tiled Matrix Multiplication.srt 25.6 kB
4 - 6 - 4.6- Parallel Computation Patterns - A Work-Efficient Parallel Scan Kernel.srt 25.1 kB
4 - 4 - 4.4- Parallel Computation Patterns - Scan (Prefix Sum).srt 24.7 kB
1 - 6 - 1.6- Introduction to CUDA, Kernel-Based SPMD Parallel Programming.srt 24.1 kB
2 - 4 - 2.4- Tiled Parallel Algorithms.srt 23.6 kB
1 - 5 - 1.5- Introduction to CUDA, Memory Allocation and Data Movement API.srt 23.3 kB
3 - 5 - 3.5- Parallel Computation Patterns - 2D Tiled Convolution Kernel.srt 23.3 kB
2 - 1 - 2.1- Kernel-based Parallel Programming - Thread Scheduling.srt 23.2 kB
4 - 2 - 4.2- Parallel Computation Patterns - A Basic Reduction Kernel.srt 22.4 kB
5 - 3 - 5.3- Parallel Computation Patterns - Atomic Operations in CUDA.srt 22.1 kB
3 - 4 - 3.4- Parallel Computation Patterns - Tiled Convolution.srt 21.6 kB
2 - 8 - 2.8- A Tiled Kernel for Arbitrary Matrix Dimensions.srt 20.9 kB
1 - 8 - 1.8- Kernel-based Parallel Programming, Basic Matrix-Matrix Multiplication.srt 20.7 kB
2 - 6 - 2.6- Tiled Matrix Multiplication Kernel.txt 20.7 kB
5 - 4 - 5.4- Parallel Computation Patters - Atomic Operations Performance.srt 20.0 kB
1 - 2 - 1.2- Introduction to Heterogeneous Parallel Computing.srt 19.9 kB
1 - 7 - 1.7- Kernel-based Parallel Programming, Multidimensional Kernel Configuration.srt 19.5 kB
4 - 3 - 4.3- Parallel Computation Patterns - A Better Reduction Kernel.srt 19.1 kB
3 - 3 - 3.3- Parallel Computation Patterns - Convolution.srt 19.1 kB
3 - 2 - 3.2- Performance Considerations - Memory Coalescing in CUDA.srt 18.9 kB
2 - 2 - 2.2- Control Divergence.srt 18.5 kB
4 - 1 - 4.1- Parallel Computation Patterns - Reduction.txt 17.9 kB
3 - 1 - 3.1- Performance Considerations - DRAM Bandwidth.txt 17.5 kB
5 - 5 - 5.5- Parallel Computation Patterns - A Privatized Histogram Kernel.srt 17.2 kB
3 - 6 - 3.6- Parallel Computation Patterns - Data Reuse in Tiled Convolution.txt 17.1 kB
2 - 7 - 2.7- Handling Boundary Conditions in Tiling.srt 16.9 kB
2 - 3 - 2.3- Memory Model and Locality -- CUDA Memories.txt 16.6 kB
4 - 5 - 4.5- Parallel Computation Patterns - A Work-Inefficient Scan Kernel.txt 16.5 kB
1 - 4 - 1.4- Introduction to CUDA, Data Parallelism and Threads.txt 16.4 kB
1 - 1 - 1.1- Course Overview.txt 16.2 kB
2 - 5 - 2.5- Tiled Matrix Multiplication.txt 15.7 kB
5 - 1 - 5.1- Parallel Computation Patterns - Histogramming.srt 15.7 kB
4 - 7 - 4.7- Parallel Computation Patterns - More on Parallel Scan.txt 15.7 kB
5 - 2 - 5.2- Parallel Computation Patterns - Atomic Operations.srt 15.7 kB
4 - 6 - 4.6- Parallel Computation Patterns - A Work-Efficient Parallel Scan Kernel.txt 15.6 kB
4 - 4 - 4.4- Parallel Computation Patterns - Scan (Prefix Sum).txt 15.0 kB
1 - 6 - 1.6- Introduction to CUDA, Kernel-Based SPMD Parallel Programming.txt 14.8 kB
2 - 4 - 2.4- Tiled Parallel Algorithms.txt 14.6 kB
1 - 5 - 1.5- Introduction to CUDA, Memory Allocation and Data Movement API.txt 14.5 kB
3 - 5 - 3.5- Parallel Computation Patterns - 2D Tiled Convolution Kernel.txt 14.3 kB
2 - 1 - 2.1- Kernel-based Parallel Programming - Thread Scheduling.txt 14.2 kB
4 - 2 - 4.2- Parallel Computation Patterns - A Basic Reduction Kernel.txt 13.6 kB
3 - 4 - 3.4- Parallel Computation Patterns - Tiled Convolution.txt 13.5 kB
5 - 3 - 5.3- Parallel Computation Patterns - Atomic Operations in CUDA.txt 13.4 kB
1 - 8 - 1.8- Kernel-based Parallel Programming, Basic Matrix-Matrix Multiplication.txt 12.8 kB
2 - 8 - 2.8- A Tiled Kernel for Arbitrary Matrix Dimensions.txt 12.8 kB
1 - 2 - 1.2- Introduction to Heterogeneous Parallel Computing.txt 12.5 kB
5 - 4 - 5.4- Parallel Computation Patters - Atomic Operations Performance.txt 12.4 kB
1 - 7 - 1.7- Kernel-based Parallel Programming, Multidimensional Kernel Configuration.txt 12.0 kB
4 - 3 - 4.3- Parallel Computation Patterns - A Better Reduction Kernel.txt 11.8 kB
3 - 3 - 3.3- Parallel Computation Patterns - Convolution.txt 11.7 kB
3 - 2 - 3.2- Performance Considerations - Memory Coalescing in CUDA.txt 11.7 kB
2 - 2 - 2.2- Control Divergence.txt 11.5 kB
1 - 3 - 1.3- Portability and Scalability in Heterogeneous Parallel Computing.srt 11.1 kB
5 - 5 - 5.5- Parallel Computation Patterns - A Privatized Histogram Kernel.txt 10.6 kB
2 - 7 - 2.7- Handling Boundary Conditions in Tiling.txt 10.4 kB
5 - 1 - 5.1- Parallel Computation Patterns - Histogramming.txt 9.6 kB
5 - 2 - 5.2- Parallel Computation Patterns - Atomic Operations.txt 9.6 kB
1 - 3 - 1.3- Portability and Scalability in Heterogeneous Parallel Computing.txt 6.8 kB

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