Strictly this belongs on the Software => Parallel Programming section, but as yet there is not a section for the array processing language Apl.
What is still needed is the harness to link different processes on nodes.
The aplc library now running on parallella 1 node simulator :
Parallella epiphany c :
no: sleep microsleep nanosleep pipe dup ttyname
So I hacked dummy donothing replacement functions
- need to be replaced by specific e- functions or possibly occam structures.
$ aplcc helloworld.apl
$ ./e-aplcc aplc_helloworld.c
$ ../../INSTALL/bin/e-run a.out
Hello World from Aplc
In principle the whole compiler is ported, but everything has to be run on the simulator by calling e-run.
Here are some Apl matrix expressions that I have had running on Altera NiosII soft processors on field programmable gate arrays, as well as on the XMOS 4 processors on a chip devices, as well as now on a functional simulator for the 16 processor Parallella chip :
AplX Source code :
Function matrix :
'A:'
A ← ⍳ 5
A
' '
'B:'
B ← ⍳ 9
B
' '
'C: outer product:'
C ← A ∘.× B
C
' '
'T: transpose:'
T ← ⍉ C
T
' '
'O: inner product (matrix multiply):'
O ← C +.× T
O
' '
'S: solve matrix:'
S ← C ⌹ A
S
And here it is running on the NiosII soft-processor :
A:
1 2 3 4 5
B:
1 2 3 4 5 6 7 8 9
C: outer product:
1 2 3 4 5 6 7 8 9
2 4 6 8 10 12 14 16 18
3 6 9 12 15 18 21 24 27
4 8 12 16 20 24 28 32 36
5 10 15 20 25 30 35 40 45
T: transpose:
1 2 3 4 5
2 4 6 8 10
3 6 9 12 15
4 8 12 16 20
5 10 15 20 25
6 12 18 24 30
7 14 21 28 35
8 16 24 32 40
9 18 27 36 45
O: inner product (matrix multiply):
285 570 855 1140 1425
570 1140 1710 2280 2850
855 1710 2565 3420 4275
1140 2280 3420 4560 5700
1425 2850 4275 5700 7125
S: solve matrix:
1 2 3 4 5 6 7 8 9
The XMOS chip is integer only, and the extra code for doing the matrix multiply and matrix solve mean that it can only fit the A,B,C,T calculations into one core.
So far I have used the one node Parallella simulator for testing :
aplcc -c matrix.apl
./e-aplcc matrix.c
$ ../../INSTALL/bin/e-run a.out
A:
1 2 3 4 5
B:
1 2 3 4 5 6 7 8 9
C: outer product:
1 2 3 4 5 6 7 8 9
2 4 6 8 10 12 14 16 18
3 6 9 12 15 18 21 24 27
4 8 12 16 20 24 28 32 36
5 10 15 20 25 30 35 40 45
T: transpose:
1 2 3 4 5
2 4 6 8 10
3 6 9 12 15
4 8 12 16 20
5 10 15 20 25
6 12 18 24 30
7 14 21 28 35
8 16 24 32 40
9 18 27 36 45
O: inner product (matrix multiply):
285 570 855 1140 1425
570 1140 1710 2280 2850
855 1710 2565 3420 4275
1140 2280 3420 4560 5700
1425 2850 4275 5700 7125
S: solve matrix:
1 2 3 4 5 6 7 8 9
cheers,
Dr. Beau Webber
Director, Lab-Tools Ltd.
Statistics: Posted by Dr.BeauWebber — Tue May 28, 2013 2:14 am
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