'Sparse matrix vector multiplication' presentation slideshows

CS 267: Applications of Parallel Computers Graph Partitioning

CS 267: Applications of Parallel Computers Graph Partitioning. James Demmel and Horst Simon www.cs.berkeley.edu/~demmel/cs267_Spr10. Outline of Graph Partitioning Lecture. Review definition of Graph Partitioning problem Overview of heuristics Partitioning with Nodal Coordinates

1.14k views • 84 slides

Sparse LA

Sparse LA. Sathish Vadhiyar. Motivation. Sparse computations much more challenging than dense due to complex data structures and memory references Many physical systems produce sparse matrices. Sparse Matrix-Vector Multiplication. Cache in GPUs.

1.1k views • 76 slides

All-Frequency Shadows Using Non-linear Wavelet Lighting Approximation

All-Frequency Shadows Using Non-linear Wavelet Lighting Approximation. Lighting Design. From Frank Gehry Architecture , Ragheb ed. 2001. Lighting Design. From Frank Gehry Architecture , Ragheb ed. 2001. Existing Fast Shadow Techniques. We know how to render very hard and very soft shadows.

667 views • 65 slides

Pre-computed Radiance Transfer

749 views • 60 slides

362 views • 36 slides

362 views • 36 slides

Sparse Matrix Vector Multiply Algorithms and Optimizations on Modern Architectures

214 views • 21 slides

Sparse Computations: Better, Faster, Cheaper!

Padma Raghavan Department of Computer Science and Engineering, The Pennsylvania State University padma@psu.edu. Sparse Computations: Better, Faster, Cheaper!. Challenges in Processing High Dimensional Sparse Data. User. Developer.

141 views • 1 slides