1. INTRODUCTION TO
MANYCORE PROGRAMMING
Francisco Dios Buitrago, 70020
Jesus Carabaño Bravo, 70014
Maziar Mehrabi, 36916
Junaid Iqbal, 36785
Hesam Zolfaghari, 85271

2. 2 Objective
To develop scalable solution of Libpuzzle
using Intel® Cilk™ Plus.

3. Our Team's Approach(s)
3
Unlimited
Processors/Memory
Read P1 Sign P1 Match P1
. . . . . . . . . . .
.
. . . . . . . . . . . .
Read
Ref.Pic
Sign
Ref.Pic
. Sort (Top 10)
. . . . . . . . . . . .
.
. . . . . . . . . . . .
.
Read Pn Sign Pn Match Pn
Simultaneous
Reads

4. Our Team's Approach(s)
4
MI=f1(Fref) M1=f1(F1) M2=f1(F2) … Mn=f1(Fn)
V1=f2(M1) V2=f2(M2) … Vn=f2(Mn)
VI=f2(Mref)
D1=f3(Vref,V1) D2=f3(Vref,V2) … Dn=f3(Vref,Vn)
Considering Mutex
f4(D1) f4(D2) … f4(Dn)
Legend – f1: loads files into memory, f2: computes the signature of a picture, f3: matches two signatures, f4: inserts in the top

5. Bird’s Eye View (Practical Approach)
5
Tasks
Ref Set of Pic(s)
Pic.
Ref. Pic Load and Load, Sign & Load , Sign Load, Sign & Load, Sign
Sign Match 1 & Match 2 Match 3 …... and Match n
Spawn
Spawning Insert TOP
Start
Loop
Print
(Top Ten)

6. Signature Calculation
6
Conversion from color to Mean of every square
gray is done in parallel, is done in parallel,
pixel by pixel square by square.
Mean of a simple square is
done with a reduction, pixel
grain
Mean of a simple pixel with his
neighbors is done with a
reduction, neighbor grain

7. Signature Calculation
7
Difference of every square with his Threshold of the signature is done in
neighbors is done in parallel, square parallel, element by element.
by square

8. Matching
8
The difference of two signatures is The Euclidean length is done with a
done in parallel, element by element. reduction, element grain.
The Euclidean length of every vector is
done in parallel, vector by vector

9. Summary
9
 Signature
 Every whole picture processing is done in parallel, picture by picture.
 The conversion from color to gray is done in parallel, pixel by pixel.
 The mean of every square is done in parallel, square by square.
 The mean of a simple square is done with a reduction, pixel grain.
 The mean of a simple pixel with his neighbors is done with a reduction, neighbor grain.
 The difference of every square with his neighbors is done in parallel, square by square.
 The difference process on a simple square is done in parallel, neighbor by neighbor.
 The thresholding of the signature is done in parallel, element by element.
 Matching
 The difference of two signatures is done in parallel, element by element.
 The Euclidean length is done with a reduction, element grain.
 The Euclidean length of every vector is done in parallel, vector by vector.

10. Benchmarking
10
Practical code Practical code Theoretical code
Picture
Practical Flow Theoretical Flow Practical Flow CilkView Results
0 16 - - 25.00
1 578 - - 21.85
20.00
2 1,591 - 2,808
3 4,976 7,519 5,834 16
15.00
4 7,878 - -
5 44,632 60,622 319,662 10.00
8.92 8.92
8
8.00
7.50 7.50 7.50
Time in Milliseconds
5.00
4
4.00 4.03 4.03 4.03
Picture Sets vs Ref. Picture 2.00
2
0.00
Time (ms) 2 4 8 16 32
Small Picture Set 2,496 Processors
Picture 0 : : Practical code, Practical Flow
Picture 2: : Practical code, Practical Flow
Medium Size Picture Set 296,121 Picture 4 : Practical code, Practical Flow
Picture 2 Thoeratical Code Practical Flow
Large Picture Set 1,345,165