[Coursera] Heterogeneous Parallel Programming
Wen-mei W. Hwu (University of Illinois)

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assignments/README.txt0.24kB
lectures/week1/Heterogeneous Parallel Programming 0.0 1.1 Course Overview.mp4127.30MB
lectures/week1/Heterogeneous Parallel Programming 0.1 1.2 Introduction to Heterogeneous Parallel Computing.mp477.82MB
lectures/week1/Heterogeneous Parallel Programming 0.2 1.3 Portability and Scalability in Heterogeneous Parallel Computing.mp434.90MB
lectures/week1/Heterogeneous Parallel Programming 0.3 1.4 Introduction to CUDA Data Parallelism and Threads.mp4128.64MB
lectures/week1/Heterogeneous Parallel Programming 0.4 1.5 Introduction to CUDA Memory Allocation and Data Movement API.mp4118.09MB
lectures/week1/Heterogeneous Parallel Programming 0.5 1.6 Introduction to CUDA Kernel-Based SPMD Parallel Programming.mp4111.87MB
lectures/week1/Heterogeneous Parallel Programming 0.6 1.7 Kernel-based Parallel Programming Multidimensional Kernel Configuration.mp494.58MB
lectures/week1/Heterogeneous Parallel Programming 0.7 1.8 Kernel-based Parallel Programming Basic Matrix-Matrix Multiplication.mp498.36MB
lectures/week2/Heterogeneous Parallel Programming 1.0 2.1 Kernel-based Parallel Programming - Thread Scheduling.mp4117.27MB
lectures/week2/Heterogeneous Parallel Programming 1.1 2.2 Control Divergence.mp486.63MB
lectures/week2/Heterogeneous Parallel Programming 1.2 2.3 Memory Model and Locality -- CUDA Memories.mp4129.66MB
lectures/week2/Heterogeneous Parallel Programming 1.3 2.4 Tiled Parallel Algorithms.mp4112.01MB
lectures/week2/Heterogeneous Parallel Programming 1.4 2.5 Tiled Matrix Multiplication.mp4124.82MB
lectures/week2/Heterogeneous Parallel Programming 1.5 2.6 Tiled Matrix Multiplication Kernel.mp4178.77MB
lectures/week2/Heterogeneous Parallel Programming 1.6 2.7 Handling Boundary Conditions in Tiling.mp482.63MB
lectures/week2/Heterogeneous Parallel Programming 1.7 2.8 A Tiled Kernel for Arbitrary Matrix Dimensions.mp499.34MB
lectures/week3/Heterogeneous Parallel Programming 2.0 3.1 Performance Considerations - DRAM Bandwidth.mp4126.75MB
lectures/week3/Heterogeneous Parallel Programming 2.1 3.2 Performance Considerations - Memory Coalescing in CUDA.mp488.12MB
lectures/week3/Heterogeneous Parallel Programming 2.2 3.3 Parallel Computation Patterns - Convolution.mp477.53MB
lectures/week3/Heterogeneous Parallel Programming 2.3 3.4 Parallel Computation Patterns - Tiled Convolution.mp495.96MB
lectures/week3/Heterogeneous Parallel Programming 2.4 3.5 Parallel Computation Patterns - 2D Tiled Convolution Kernel.mp495.46MB
lectures/week3/Heterogeneous Parallel Programming 2.5 3.6 Parallel Computation Patterns - Data Reuse in Tiled Convolution.mp4124.21MB
lectures/week4/Heterogeneous Parallel Programming 3.0 4.1 Parallel Computation Patterns - Reduction.mp4132.82MB
lectures/week4/Heterogeneous Parallel Programming 3.1 4.2 Parallel Computation Patterns - A Basic Reduction Kernel.mp4101.41MB
lectures/week4/Heterogeneous Parallel Programming 3.2 4.3 Parallel Computation Patterns - A Better Reduction Kernel.mp477.66MB
lectures/week4/Heterogeneous Parallel Programming 3.3 4.4 Parallel Computation Patterns - Scan (Prefix Sum).mp4121.50MB
lectures/week4/Heterogeneous Parallel Programming 3.4 4.5 Parallel Computation Patterns - A Work-Inefficient Scan Kernel.mp4127.69MB
lectures/week4/Heterogeneous Parallel Programming 3.5 4.6 Parallel Computation Patterns - A Work-Efficient Parallel Scan Kernel.mp4130.22MB
lectures/week4/Heterogeneous Parallel Programming 3.6 4.7 Parallel Computation Patterns - More on Parallel Scan.mp4133.34MB
lectures/week5/Heterogeneous Parallel Programming 4.0 5.1 Parallel Computation Patterns - Histogramming.mp461.59MB
lectures/week5/Heterogeneous Parallel Programming 4.1 5.2 Parallel Computation Patterns - Atomic Operations.mp461.04MB
lectures/week5/Heterogeneous Parallel Programming 4.2 5.3 Parallel Computation Patterns - Atomic Operations in CUDA.mp487.74MB
lectures/week5/Heterogeneous Parallel Programming 4.3 5.4 Parallel Computation Patters - Atomic Operations Performance.mp475.40MB
lectures/week5/Heterogeneous Parallel Programming 4.4 5.5 Parallel Computation Patterns - A Privatized Histogram Kernel.mp462.09MB
lectures/week6/Heterogeneous Parallel Programming 5.0 6.1 Efficient Host-Device Data Transfer - Pinned Host Memory.mp4123.32MB
lectures/week6/Heterogeneous Parallel Programming 5.1 6.2 Efficient Host-Device Data Transfer - Task Parallelism in CUDA.mp4118.72MB
lectures/week6/Heterogeneous Parallel Programming 5.2 6.3 Efficient Host-Device Data Transfer - Overlapping Data Transfer with Computation.mp4139.29MB
lectures/week7/Heterogeneous Parallel Programming 6.0 7.1 Related Programming Models - OpenCL Data Parallelism Model.mp488.21MB
lectures/week7/Heterogeneous Parallel Programming 6.1 7.2 Related Programming Models - OpenCL Device Architecture.mp460.51MB
lectures/week7/Heterogeneous Parallel Programming 6.2 7.3 Related Programming Models - OpenCL Host Code Part 1.mp4144.19MB
lectures/week7/Heterogeneous Parallel Programming 6.3 7.4 Related Programming Models - OpenCL Host Code (Cont.).mp482.65MB
lectures/week7/Heterogeneous Parallel Programming 6.4 7.5 Related Programming Models - OpenACC.mp4101.61MB
lectures/week7/Heterogeneous Parallel Programming 6.5 7.6 Related Programming Models - OpenACC Details.mp495.53MB
lectures/week8/Heterogeneous Parallel Programming 7.0 8.1 Related Parallel Models - C++ AMP.mp481.71MB
lectures/week8/Heterogeneous Parallel Programming 7.1 8.2 Related Parallel Models - C++ AMP Advance Concepts.mp4113.78MB
lectures/week8/Heterogeneous Parallel Programming 7.2 8.3 Related Parallel Models - Introduction to Heterogeneous Supercomputing and MPI.mp4131.64MB
lectures/week8/Heterogeneous Parallel Programming 7.3 8.4 Conclusions and Future Directions.mp4120.62MB
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