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Contents
- Idealized picture of a distributed memory parallel computer
- A data distribution leading to excessive
communication
- A data distribution leading to poor load
balancing
- An ideal data distribution
- Alignment of the three arrays
in the LU decomposition example
- Collective communications with 6
processes.
- Simple sequential irregular loop.
- PARTI code for simple parallel irregular loop.
- The process grids illustrated by p
- The Group hierarchy of HPJava.
- The process dimension and coordinates in
p.
- A two-dimensional array
distributed over p.
- A parallel matrix addition.
- Mapping of x and y locations to
the grid p.
- Solution for Laplace equation by Jacobi relaxation in HPJava.
- The HPJava Range hierarchy.
- Work distribution for block distribution.
- Work distribution for cyclic distribution.
- Solution for Laplace equation using
red-black with ghost regions in HPJava.
- A two-dimensional array, a, distributed
over one-dimensional grid, q.
- A direct matrix multiplication in HPJava.
- Distribution of array elements in
example of Figure 3.13. Array a is replicated
in every column of processes, array b is replicated in every row.
- A general matrix multiplication in HPJava.
- A one-dimensional section of a
two-dimensional array (shaded area).
- A two-dimensional section of a
two-dimensional array (shaded area).
- The dimension splitting in HPJava.
- N-body force computation using dimension
splitting in HPJava.
- The HPJava Architecture.
- Part of the lattice of types for
multiarrays of int.
- Example of HPJava AST and its nodes.
- Hierarchy for statements.
- Hierarchy for expressions.
- Hierarchy for types.
- The architecture of HPJava Front-End.
- Example source program before pre-translation.
- Example source program after pre-translation.
- Translation of a multiarray-valued variable declaration.
- Translation of multiarray creation expression.
- Translation of on construct.
- Translation of at construct.
- Translation of overall construct.
- Translation of multiarray element access.
- Translation of array section with no scalar subscripts.
- Translation of array section without any scalar subscripts in
distributed dimensions.
- Translation of array section allowing scalar subscripts in
distributed dimensions.
- Partial Redundancy Elimination
- Simple example of Partial Redundancy of loop-invariant
- Before and After Strength Reduction
- Translation of overall construct, applying Strength Reduction.
- The innermost for loop of naively translated direct matrix multiplication
- Inserting a landing pad to a loop
- After applying PRE to direct matrix multiplication program
- Optimized HPJava program of direct matrix multiplication
program by PRE and SR
- The innermost overall loop of
naively translated Laplace equation using red-black relaxation
- Optimized HPJava program of Laplace equation using red-black
relaxation by HPJOPT2
- Performance for Direct Matrix Multiplication in HPJOPT2, PRE,
Naive HPJava, Java, and C on the Linux machine
- Performance comparison between 150
150 original
Laplace equation from Figure 3.11 and split version
of Laplace equation.
- Memory locality for loop unrolling and split versions.
- Performance comparison between 512
512 original
Laplace equation from Figure 3.11 and split version
of Laplace equation.
- 3D Diffusion Equation in Naive HPJava, PRE,
HPJOPT2, Java, and C on Linux machine
- Q3 Index Algorithm in HPJava
- Performance for Q3 on Linux machine
- Performance for Direct Matrix Multiplication on SMP.
- 512
512 Laplace Equation using Red-Black Relaxation
without Adlib.writeHalo() on shared memory machine
- Laplace Equation using Red-Black Relaxation on shared memory machine
- Laplace Equation using Red-Black Relaxation on distributed memory machine
- 3D Diffusion Equation on shared memory machine
- 3D Diffusion Equation on distributed memory machine
- Q3 on shared memory machine
- A simple Jacobi program in ZPL.
- Running an HPJava Swing program, Wolf.hpj.
Abstract
Bryan Carpenter
2004-06-09