Heterogeneous Parallel Programming | E37CDF3092A28925C607F32BC4EFE562CDC1811E

Heterogeneous Parallel Programming

Name	Heterogeneous Parallel Programming	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	954.0 MB
Total Files	138
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Hash	E37CDF3092A28925C607F32BC4EFE562CDC1811E

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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
Total files 138