Three dimension hamiltonian broadcast

International Journal of Computer Networks & Communications (IJCNC) Vol.7, No.3, May 2015
DOI : 10.5121/ijcnc.2015.7303 31
THREE-DIMENSION HAMILTONIAN BROADCAST
WORMHOLE-ROUTING
Amnah El-Obaid
Department of Computer Science, Faculty of Science and Information Technology, Al-
Zaytoonah University of Jordan, Amman, Jordan
ABSTRACT
Broadcast is one of the most important approach in distributed memory parallel computers that is used to
find a routing approach from a one source to all nodes in the mesh. Broadcasting is a data communication
task in which corresponds to one-to-all communication. Routing schema is the approach that used to
determine the road that is used to send a message from a source node to destination nodes. In this paper,
we propose an efficient two algorithms for broadcasting on an all-port wormhole-routed 3D mesh with
arbitrary size. In wormhole routing large network packets are broken into small pieces called FLITs (flow
control digits). The destination address is kept in the first flit which is called the header flit and sets up the
routing behavior for all subsequent flits associated with the packet. If the packets of the message can’t
deliver to their destination and there is a cyclic dependence over the channels in the network, then the
deadlock even is occurred. In this paper we introduce an efficient two algorithms, Three-Dimension
Hamiltonian Broadcast (3-DHB) and Three-Dimension Six Ports Hamiltonian Broadcast (3-DSPHB)
which used broadcast communication facility with deadlock-free wormhole routing in general three-
dimensional networks. In this paper the behaviors of these algorithms were compared using simulation.
The results presented in this paper indicate that the advantage of the proposed algorithms.
KEYWORDS
Broadcasting communication, Wormhole routing, Hamiltonian model, 3-D mesh, Deadlock-
free
1.INTRODUCTION
One of the important and popular architecture in both of scientific computation and high speed
computing applications is multicomputer architecture where it is used efficiently in weather
forecast and high performance servers. Multicomputer network consists of hundreds or thousands
of nodes connected in some fixed topology; each of them contains a microprocessor, local
memory, and other supporting devices. Most of the popular direct network topologies fall in the
general category of either n-dimensional meshes or k-ary n-cubes because their regular topologies
and simple routing. Some sample topologies are shown in Fig. 1. Among topologies, the most
commonly used are meshes, tori, hypercubes and trees. The Mesh-based topologies are the most
regular simple architecture that is used in multicomputers. This is because that the
implementation of mesh is very simple and easy to understand. These properties which are
necessary for every topology design [1]. Recent interest in multicomputer systems is therefore
concentrated on two-dimensional or three-dimensional mesh and torus networks. Such
technology has been adopted by the Intel Touchstone DELTA [2], MIT J-machine [3], Intel
Paragon [4] and [5], Caltech MOSAIC [6], Cray T3D and T3E [7] and [8].

32
Fig. 1 Multicomputer network topologies.
The way of the message that needed to visit the destination nodes is called the switching method.
One of the efficient message routing algorithms of multicomputers is wormhole-switching. The
wormhole switching is considered widely used in routing algorithms because of some reasons,
firstly the buffering that is required in it is low buffering, allowing for efficient router
implementation [9]. Secondly, it characterized with low communication latency [10].
In wormhole-routed networks, a message is divided into packets; the packets are divided into
flits. A flit is the smallest unit of information that a channel can accept or refuse [11]. All routing
information of the message is kept in the header flit(s) and the data elements are kept in the other
flits of the packets. All flits in the same packet are transmitted in order as pipelined fashion as
shown in Fig. 2. Only the header flit knows where the packet is going, and the remaining data
flits must follow the header flit. In wormhole routing, when the needed channels are busy by
another broadcast and the flits blocked, then the message will be blocked and can’t be delivered
to their destination nodes. Deadlock is occurs when a set of messages is blocked forever in the
network because each message in the set holds one or more resources needed by another message
in this set. No communication can occur over the deadlocked channels until exceptional action is
taken to break the deadlock [12], [13]. Based on these features, many several routing algorithms
have been proposed for wormhole communications networks [14], [15], [16], [17], [18], [19],
[20], [21] and [22].
Fig. 2 Wormhole Routing

33
The main facility of the wormhole routing is the communication latency, where it independent of
the distance between the source and destination nodes; it consists of three parts, start-up latency
network latency, and blocking latency. The start-up latency is the time required to start a message,
which involves operation system overheads. The network latency consists of channel propagation
and router latencies, i.e., the elapsed time after the head of a message has entered the network at
the source until the tail of the message emerges from the network at the destination. The blocking
latency accounts for all delays associated with contention for routing resources among the various
worms in the network [23].
Multicomputer generation has an essential pattern which is called the broadcast routing.
Broadcast is compatible to one-to-all communication in which the source send the same message
to all possible destination nodes in the network. Efficient broadcast communication is widely
used. This is because it’s useful in message-passing applications, and is also necessary in several
other operations, such as replication and barrier synchronization [24], which are supported in data
parallel languages. Broadcast algorithms in wormhole-routed networks can be easily founded in
the following researches [25], [26] [27] and [28]. A broadcasting algorithm is applicable in
diversified manners in several fields such as management of shared variables for distributed
programming, image processing, data copying in database of large-scale network, and data
collection in wireless sensor network (WSN), and for this, an effective broadcasting algorithm is
necessary [29].
This paper uses a 3-D mesh topology with Bi-directional channels. A graph M (V, E) can be used
to model a 3-D mesh topology where processor can be represented by each node in V (M) and
communication channel can be represented by each edge in E (M). The mesh graph is formally
defined below. Where m (rows) x n (columns) x r (layers) 3-D mesh comprises mnr nodes
connected in a grid fashion
Definition 1: An m x n x r 3-D mesh graph is a directed graph M (V, E), where the following
conditions exist:
( ) ( ){ }
( ) ( ) ( )[ ]{ ( ) ( ) ( )
}1
,,,,,,,,,,,
0,0,0,,
=−+−+−
∈=
<≤<≤<≤=
jijiji
jjjiiijjjiii
zzyyxxand
GVzyxzyxzyxzyxME
andrzmynxzyxMV
In the mesh topology the nodes are not necessary connected to the same number of neighbors;
each node on the network connects to at least two other nodes. Those at the corners, edges, and
middle of the network have four and six neighbors respectively; each node in the mesh consists of
its processing element (PE) and its router. The processing element contains a processor and some
local memory. There are local channels used by the processing element to inject/eject messages
to/from the network, respectively. The injection channel inject the messages that generated by the
PE into the network. Three kinds of ports can be distinguished in mesh topology. One-Port,
Multi-Ports and All-Ports. This study use the All-Port router model where routers can
send/receive multiple messages simultaneously to a neighboring node, and that node can
simultaneously send/receive messages along all ejection and injection channels [30].
Broadcast problem can be applied by using a Hamilton path from source to destinations. In this
paper we introduce the new broadcast algorithms based on the Hamiltonian model for 3-D mesh
multicomputers. The rest of the paper is organized as follows. Section 2 presents the related
works. Section 3 presents the Hamiltonian model to the 3-D mesh networks. In Section 4 we

34
introduce the new broadcast algorithms based on the Hamiltonian model while Section 5
examines the performance of the proposed algorithms. Finally, Section 6 concludes this study.
2. RELATED WORKS
The basic function of an interconnection network is routing algorithm which determines the path
from a source node to a destination node in a particular network [31] and [32]. The dynamic
communication performance of a specific network is dependent on a routing algorithm. By
developing a good routing algorithm, both throughput and latency can be improved.
Many properties of the interconnection network are a direct consequence of the routing algorithm
used. Among these properties the most important ones are as follows:
• Connectivity: The system can be able to send and receive packets (messages) from a
source node to any number of destination nodes.
• Deadlock and livelock freedom: The ability of the system to guarantee that packets will
not block or wander through the network forever.
• Adaptivity: Ability of the system to send packets through alternative paths in the
networks.
• Fault tolerance: The system can be able to route packets in the network even if there is
any of faulty components.
2.1. The XY routing algorithm
In a 2D mesh, each node is represented by its position (x, y) in the mesh [33]. The packets in the
XY routing algorithm will be sent in the X dimension first and then in the Y dimension by the
source. Let (sx, sy) represent the addresses of a source node and (dx, dy) represent the addresses of
destination node. Furthermore, let (gx, gy) = (dx–sx, dy–sy). The XY routing algorithm place gx,
and gy in the first two flits, respectively, of the packet. When the first flit of a packet arrives at a
router, it is decremented or incremented, depending on whether it is greater than 0 or less than 0.
The source sends the packet forward in the same direction when the result is not equal to 0. If the
result equals 0 and the packet arrived on the Y dimension, the packet is delivered to the local
processor. If the result equals 0 and the packet arrived on the X dimension, the flit is discarded
and the next flit is examined upon arrival. When that flit is 0 the local processor receives the
packet; otherwise, the packet routing in Y dimension. Using this method, the largest possible 2D
mesh with an 8-bit flit is 128 x128.
2.2. Dual-path algorithm
Hamiltonian paths are fundamental of network partitioning strategy based on the deadlock-free
routing algorithms [34]. In this algorithm, each node u in a multicomputer is assigned a label, L
(u). For each node in the networks, Dual-path assigns it a label based on the position of that node
in a Hamiltonian path. For each node in an m x n 2-D mesh the label assignment function L could
be described in terms of the x-, y- coordinates as follows:
( )



−−+
+
=
oddisyifxnny
evenisyifxny
yxL
1*
,*
,

35
In dual-path algorithm, the network is divided into two subnetworks NU and NL by the source,
where NU contains all channels where their routing directions are from the nodes labeled from
low to high number and NL contains all channels where their routing directions are from the
nodes labeled from high to low numbers. The routing schema that used to transfer the message in
dual-path is made according to the equation that presented in [34]. The routing function can be
defined for a source node u and destination node v as R (u, v) = w, such that w is a neighboring
node of u, and, if L (u) < L (v), then we have the following equation:
{ }
( ) ( )
( ) ( ) ( ) ( ){ }uofnodegneighborinaiszandvLzLzLwL
equationfollowingthehavewethenvLuLifor
uofnodegneighborinaiszandvLzLzLwL
≥=
>
≤=
min
:,,
)()()(max)(
In dual-path algorithm, the source node divides the destination set D into two subsets, DU and DL,
where DU contain the destination nodes in NU and DL contain the destination nodes in NL. The
source sends the message to destination nodes in DU using channels in NU subnetwork and to
destination nodes in DL using channels in NL subnetwork.
The destination nodes in DU is sorted in ascending order by the source and the destination nodes
in DL is sorted in descending order by the source, where the source using the L value as the key in
both cases. Two messages were constructed and sent into tow disjoint subnetworks NU and NL,
one containing DU as part of the header and the other containing DL as part of the header.
To make a decision at each node in the mesh, the dual-path routing algorithm uses a distributed
routing function R that presented in [34]. When intermediate node receives the message, it
determines whether its address matches that of the first destination node in the message header. If
the address is match then this address is removed from the message header and the message is
copied and sent together with its header to the above (below) neighboring using the routing
function R. If the sets of the destination nodes are not empty, the algorithm continues according
to the previous method.
2.3. Multi-path algorithm
The Multi-Path algorithm is all-port, where it sends the message by using the 4 outgouing degree
channels. The difference between multi-path and dual-path routing algorithm is that how many
message preparation can be operated at the source node. In the multipath routing algorithm the
destination sets DU and DL of the dual-path algorithm are further partitioned. The source divide
the set DU into two subsets, The first one containing the all nodes whose x coordinates are greater
than or equal the x coordinate of a source and the second one containing the all nodes whose x
coordinates are smaller than the x coordinate of a source. The same partitioned schema can be
done for set DL.
In Multi-path routing algorithm the path from source node to destination nodes is less than the
path in the Dual-path routing algorithm; this advantage can be shown in termed of generated
traffic. Also, the numbers of channels that use by a Multi-path routing algorithm are fewer than
number of channels that use by dual-path routing algorithm. A detailed performance study can be
found in [34] and [35].

36
2.4. The Sequential Multi-Column algorithm (SMC)
The basic idea of this algorithm is by spliting the destination nodes into groups of columns and
send the message to theses different groups in a pipeline fashion. The term “sequential” refers to
the use of only one port at a time between the two ports available to reach higher labels. An
instance of the split-column-function for an integer p is a set of p groups of consecutive columns
S1, S2, …, Sp, labeled from 1 to p from left to right, with Si ∩ Sj = φ, and such that the
cardinality (that is the number of columns) of the different groups differs by at most one.
At step 1, The source U0 send the message to destination nodes belonging to S1; then, when the
last flit of the message leaves the source, send (at step 2) the message to destination nodes
belonging to S2; and so on: at step c, send the message to the destination nodes belonging to the
group of columns Sc. Step c begins at time (c-1) (ß+L). Each copy of the message needs ß + L to
leave the source node, where ß represent the ratio of the startup time over the propagation time of
a flit from one router to a neighboring router. If σ were any permutation of the subsets (S1, S2…
Sp), then (at step 1) send the message to destination nodes belonging to S σ-1 (1). Then (at step 2),
the source node will send the message to destination nodes when the last flit of the message
leaves it, and so on. At step t, send the message to the destination nodes belonging to the group of
columns S σ-1 (t). In other words, the message to group c is sent at step σ (c). The performance of
the SMC algorithm depends on the number of group’s p, and on the schedule determined by the
permutation σ for sending the message to these groups [35].
3. HAMILTONIAN MODELS TO THE 3-D MESH NETWORKS
Hamiltonian-path routing is considered as one of the most efficient important approach for
designing a deadlock-free algorithm of wormhole-routed network. So the routing algorithm
assumed in this paper is the Hamiltonian-path routing. In this routing algorithm, at first, a
Hamiltonian path is embedded onto target 3-D mesh network topology, and then messages are
routed on the basis of the Hamiltonian path.
A 3-D mesh network contains many Hamiltonian paths. In the following, we give the node
labeling function ( )ul for a 3-D mesh. For an m x n x r 3-D mesh we can assignment a label
function l to each node in 3-D mesh which can be expressed in terms of the x-, y- and z-
coordinates as follows:
( ) {
( )}
( ) ( ){ ( )
( ) } oddiszifxzrnyrn
eveniszifxnzrnyrnzyx
oddisyIf
oddiszifxnznyrn
eveniszifxznyrnzyx
evenisyIf
+−−+
−−+−−+=
−−++
++=
1***
11***,,
1***
***,,
l
l
Each node in 3-D mesh can be assign a unique number using the above labeling function. The
Hamiltonian model can be assigned each node in 3-D mesh a unique label starts from 0, followed
by 1, and so on until the last node labeled mnr-1.
The network partitioning strategy is fundamental to our broadcast routing algorithms. Using the
Hamiltonian model labeling, the network can be partitioned into two subnetworks. The first one is

37
called high-channel network and contains all channels where their routing directions are from the
nodes labeled from low to high number. The second one is called the low-channel network and
contains all channels where their routing directions are from the nodes labeled from high to low
numbers. According to this partition schema, the network will be divided into two disjoint
subnetworks and each subnetwork has its independent set of physical links in the network.
A Hamiltonian labeling strategy for 3 x 3 x 3 3-D mesh can be shown in Fig. 3(a), where every
node can be represented by its integer coordinate (x, y, z). A high-channel subnetwork which
contains all channels whose direction is from lower-labeled nodes to higher-labeled nodes can be
shown in Fig. 3(b). A low-channel subnetwork which contains all channels whose direction is
from higher-labeled nodes to lower-labeled nodes can be shown in Fig. 3(c)
(a)
(b) (c)
Fig. 3 The labeling of a 3 x 3 x 3 mesh. (a) Physical network. (b) High-channel network. (c) Low-channel
network.
4. THE PROPOSED ALGORITHMS
This section introduces a solution for the broadcast wormhole routed mesh multicomputer. The
3-DHB algorithm exploits the features of Hamiltonian paths to implement broadcast in two
message-passing steps. The 3-DSPHB algorithm for All-Port 3-D mesh based on the Hamiltonian
paths to implement broadcast in six message-passing steps. A major consequence of All-Port
architecture is that the local processor may transmit (receive) multiple messages simultaneously.

38
Suppose that the coordinate of the source node u0 is represented by (x0, y0, z0) with the
Hamiltonian labeling ( )0ul , and D represents the all nodes in the 3-D mesh with the Hamiltonian
labelingl .
4.1. Three-Dimension Hamiltonian Broadcast (3-DHB) algorithm
Step 1: The source node divides D into two subsets DU and DL as follows:
( ){ ( ) ( )}
( ){ ( ) ( ) ( )}oL
U
zyxzyxDzyxzyxD
zyxzyxDzyxzyxD
,,,,,,,,,
,,(),,(,,,,,
00
000
ll
ll
<∈=
>∈=
Step 2: If DU contains the following nodes {d1, d2, d3, ..,.dn} , and DL contains the following
nodes {d1, d2, d3, ….dn}, then sorts them according to labels as follows:
( ) ( ) ( ) ( )}{
( ) ( ) ( ) ( ){ }dndddD
dndddD
L
U
lfflflfl
lpplplpl
..............321
.............321
=
=
Step 3: Construct two messages, one containing nodes in DU as part of the header and the other
containing nodes in DL as part of the header. The source sends the message to subset DU through
subnetwork NU and sends the message to subset DL through subnetwork NL.
Theorem 1: 3-DHB is deadlock-free.
Proof: At the source node, 3-DHB algorithm divides the network into two disjoint subnetworks.
This is obvious since, φ=∩ LU NN . Then 3-DHB algorithm is deadlock-free at the two
subnetworks. To complete our proof, we should prove that there are no dependencies in each
subnetwork NU and NL. In NU a message entering a node and always leaves on a node with label
greater than label of entered node, while in NL a message entering a node and always leaves on a
node with label lower than label of entered node, therefore, no cyclic dependency can exist
among the channels. So 3-DHB is deadlock-free.
4.2. Three-Dimension Six Ports Hamiltonian Broadcast (3-DSPHB) algorithm
Step 1: The split schema is the same schema that is presented in the first step of 3-DHB
algorithm. Partition D into DU and DL
Step 2: Similarly, sorts DU and DL as done in the second stage of 3-DHB.
Step 3: Divide DU into three subsets, DU1, DU2 and DU3 as follows:
( ){ ( ) ( ) ( )}
( ){ ( ) ( ) ( )}
( ){ ( ) ( ) ( )}rzmyxxDzyxzyxD
rzmyxxDzyxzyxD
rzmyxxDzyxzyxD
UU
UU
UU
<≤<≤=∈=
<≤<≤<∈=
<≤<≤>∈=
0,0,,,,,,
,0,0,,,,,,
,0,0,,,,,,
03
02
01

39
Construct three messages, one containing DU1 as part of the header and, second containing DU2 as
part of the header and the other containing DU3, as part of the header. The source sends three
messages to neighboring nodes using the subnetwork NU.
Step 5: Similarly, partition DL into DLI, DL2 and DL3 and construct three messages.
Theorem 2: The 3-DSPHB is deadlock-free.
To prove this theorem, we can use the same schema that is used to prove theorem 1.
4.3. Comparative study
To study and compare the performance of 3-DHB and 3-DSPHB algorithms, consider the
example shown in Fig. 4 for a 4 x 4 x 4 mesh topology labeling using a Hamiltonian path. The
source node with Hamilton labeled 25 which has an integer coordinate (1, 1, 1) will send a
broadcast to all nodes in its 3-D mesh multicomputer.
Fig. 4 An example of 4x4x4 mesh
The source node in 3-DHB algorithm will split and sort D into two subsets DU and DL, where
every node in DU has a higher label than the label of the source node and every node in DL has a
lower label than that the label of the source node. The content of DU and DL will be as follows:-
DU = {26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63}
DL = {24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}, the

40
The routing pattern is shown with bold and dashed lines in Fig. 5, where bold lines represent
routing in NU and dashed lines represent routing in NL.
Fig. 5 The routing patterns of 3-DHB algorithm, bold lines of NU subnetwork, and dashed lines of NL
subnetwork
The 3-DSPHB algorithm splits and sorts D into two subsets DU where contains every node in NU
that has a higher label than that of the source node and DL where contains every node in NL that
has a lower label than that of the source node.
DU = {26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63}
DL = {24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}
DU is further divided into three subsets DU1, DU2 and DU3, with DU1 containing the nodes whose x
coordinates are lower than the x coordinate of the source, DU2 containing the nodes whose x
coordinates are greater than the x coordinate of source and DU3 containing the remaining nodes in
DU . The routing pattern is shown with bold and dashed lines in Fig. 6.
DU1 = {31, 32, 39, 40, 47, 48, 55, 56, 63}
DU2 = {26, 27, 28, 29, 34, 35, 36, 37, 42, 43, 44, 45, 50, 51, 52, 53, 58, 59, 60, 61}
DU3 = {30, 33, 38, 41, 46, 49, 54, 57, 62}
DL is further divided into three subsets DL1, DL2 and DL3, with DL1 containing the nodes whose x
coordinates are lower than the x coordinate of the source, DL2 containing the nodes whose x

41
coordinates are greater than the x coordinate of the source and DL3 containing the remaining
nodes in DL . The routing pattern is shown with bold and dashed lines in Fig. 7.
DL1 = {24, 23, 16, 15, 8, 7, 0}
DL2 = {21, 20, 19, 18, 13, 12, 11, 10, 5, 4, 3, 2}
DL3 = {22, 17, 14, 9, 6, 1}
Fig. 6 The Routing Patterns Of 3-Dsphb Algorithm Of Nu
Fig. 7 The routing patterns of 3-DSPHB algorithm of NL

42
5. SIMULATIONS
In order to compare the performance of our proposed broadcast routing algorithms, the simulation
program used to model broadcast communication in 3-D mesh networks is written in VC++ and
uses an event-driven simulation package, CSIM [36]. CSIM is used a multiple processes to
execute testing in parallel fashion and provides a very realistic environment which can be used in
modular simulation programs. The simulation program for broadcast communication is part of a
larger simulator, called MultiSim [37]. MultiSim was used to simulate broadcast operations in 3D
mesh of different sizes. To study the performance of our algorithms with broadcast schema we
random a large number of different source nodes with different size of messages and different
injection rate. All simulations were performed for a 5 x 5 x 5 3-D mesh.
We examined the routing performance of our proposed algorithms under various, startup latencies
ß, message lengths and average injection rate (interarrival time). The message is divided into flits,
so the number of these flits in a message denotes the message length and the software that
overhead for buffers allocating, messages coping, router initializing, etc. is represented the startup
latency. The maximum latencies were measured and then averaged over these samples.
Figure 8 compares the two algorithms across different message lengths (100 bytes to 2000 bytes)
in 5 x 5 x 5 network. In Fig 8(a), the startup latency ß is set to 10 microseconds. In Fig 8(b), the
startup latency ß is set to 100 microseconds. In both cases, the advantage of the 3-DHB algorithm
is significant. In the 3-DHB when the broadcast size increases, the number of message-passing
steps required to complete the broadcast operation is not increase, so 3-DHB algorithm is
significant. The source node in n 3-DHB algorithm will send two messages only from its two
external channels. Since communication latency in wormhole-routed broadcast systems is
dependent on the length of the message, average latencies of 3-DSPHB algorithm linearly
increase as the length of the message as shown in Figure 8.
Fig. 8 Comparison of 3-DHB with 3-DSPHB. (a) With small message latency ß =10; (b) with large
message latency ß =100

43
For testing the effects of average injection rate (average flow rate time) on our proposed
algorithms we present this section experiments. We have fixed the message length as 1000 flits.
Fig. 9 compares the two algorithms across different injection rate in 5 x 5 x 5 network. In Fig.
9(a), the startup latency ß is set to 10 microseconds. In Fig. 9(b), the startup latency ß is set to 100
microseconds.
Two algorithms exhibit good performance at low loads. The effect of our two algorithms 3-DHB
and 3-DSPHB is the same and well performance for small start-up time (ß = 10). This is because
there is no scramble in the network according to other broadcast. This result can be shown in Fig
9(a).
The disadvantage of 3-DSPHB algorithm increases with the injection rate as shown in Fig 9(b).
The 3-DHB algorithm is less sensitive rather than the 3-DSPHB algorithm. In the 3-DSPHB
algorithm, destinations are divided into six subsets. A source node may send a message through
six ports simultaneously. In 3-DHB algorithm 3-D mesh are divided into two subsets. However,
a potential disadvantage of 3-DSPHB routing is not revealed until the load is relatively high. The
source node in 3-DSPHB algorithm will send the messages from all outgoing channels (here is
six channels) to reach comparatively large set of destinations, the source node will likely send on
all of its outgoing channels. If any flits from another broadcast message is send and the recent
broadcast transmission is not complete, then these flits will be blocked until the recent broadcast
is complete. In fact, if the load is very high, the 3-DSPHB may throttle system throughput and
increase message latency. This throttle case is less likely to occur in 3-DHB routing,
Fig. 9 Comparison Of 3-DHB With 3-DSPHB. (A) With Small Message Latency ß =10; (B) With
Large Message Latency ß =100

44
6. CONCLUSION
Broadcast is one of the most important communication operation that can be used in
multicomputer system and can be applied for different algorithms such as parallel drawing
algorithms, fast Fourier switch, and Fence synchronization method.
In this paper, we propose a new two algorithms for broadcasting messages on all-port wormhole-
routed 3-D mesh with arbitrary size. These algorithms are shown to be deadlock-free. The
performance study shows that the 3-DHB algorithm outperforms the 3-DSPHB algorithm for
different length of messages and different injection rate with reduced delays. The broadcast
latency of the 3-DSPHB algorithm linearly increases as message size and injection rate. The
number of messages that waiting to be delivered in the node's memory is linearly increase with
the number of ports provided in the wormhole-routed, so the algorithm that contains a large
number of ports is average latency increases.
ACKNOWLEDGEMENTS
We would like to thank the anonymous reviewers for their suggestions and constructive criticism.
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AUTHORS
Amnah Elobaid received her B.Sc. degree in Computer Sciences from Faculty of Science, Kink Abdul Aziz
University, Sudia Arabia in 1993. She received her M.Sc. degree in Computer Science from Al Al-Bayt
University, Amman, Jordan in 2000. From 2000 to 2006, she was a lecturer in the Department of Computer
Science at Applied Science University, Amman, Jordan. She received a PhD degree in Computer Science
from Jilin University, Changchun, China. Now she is Assistant Professor in Department of Computer
Science, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman,
Jordan. Her research interests include parallel processing, message-passing systems.

Three dimension hamiltonian broadcast

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