'Redundant computations' diaporamas de présentation

Parallelism Algorithm Design

799 views • 67 slides

Rigid body dynamics II Solving the dynamics problems

Rigid body dynamics II Solving the dynamics problems. Outline. Algorithm overview Computing constrained accelerations Computing a frictional impulse Extensions - Discussion. Outline. Algorithm overview Computing constrained accelerations Computing a frictional impulse

1.04k views • 47 slides

Reducing number of operations: The joy of algebraic transformations

Reducing number of operations: The joy of algebraic transformations. CS498DHP Program Optimization. Number of operations and execution time. Fewer number of operations does not necessarily mean shorter execution times. Because of scheduling in a parallel environment. Because of locality.

438 views • 43 slides

CRITICAL SYSTEMS PROPERTIES

504 views • 40 slides

Higher-order functions in ML

Higher-order functions in ML. Higher-order functions. A first-order function is one whose parameters and result are all "data" A second-order function has one or more first-order functions as parameters or result

407 views • 31 slides

Hardware Acceleration of Parallel Prefix Algorithms

Hardware Acceleration of Parallel Prefix Algorithms. Peter Scott (Project leader) Avinash Srinivasa Vaibhav Sundriyal. What is parallel prefix?. Finding parallelism in serial-looking problems. Take an array, like [1, 3, 2, 1] Find partial sums: [1, 1+3, 1+3+2, 1+3+2+1]

269 views • 13 slides