Ran Libeskind-Hadas Department of Computer Science Harvey Mudd College Joint work with: Mike Charleston (Univ. of Sydney) Chris Conow (USC) Ben Cousins.
Carnegie Mellon Today Program optimization Optimization blocker: Memory aliasing Out of order processing: Instruction level parallelism Understanding.
Examples of Two- Dimensional Systolic Arrays. Obvious Matrix Multiply Rows of a distributed to each PE in row. Columns of b distributed to each PE in.
Week 2 - Monday. What did we talk about last time? Exceptions Threads OOP Interfaces.
Determinants In this chapter we will study “determinants” or, more precisely, “determinant functions.” Unlike real-valued functions, such as f(x)=x 2,
Sahalu Junaidu ICS 573: High Performance Computing 8.1 Topic Overview Matrix-Matrix Multiplication Block Matrix Operations A Simple Parallel Matrix-Matrix.
M- flation after BICEP2
Introduction to Parallel Programming Language notation: message passing 5 parallel algorithms of increasing complexity: –Matrix multiplication –Successive.
Matrices
Linear Algebra
Introduction to Parallel Programming Language notation: message passing Distributed-memory machine –(e.g., workstations on a network) 5 parallel algorithms.
Linear Algebra With Applications by Otto Bretscher. Page 286. 1. The Determinant of any diagonal nxn matrix is the product of its diagonal entries. True.
