Parallel Programming: for Multicore and Cluster Systems- P11 ppt
Parallel Programming: for Multicore and Cluster Systems- P11 ppsx
... of single systems and provide an abstract view for the design and analysis of
parallel programs.
3.1 Models for Parallel Systems
In the following, the types of models used for parallel processing ... assignments of Fortran 90/95, see [49, 175, 122]. Other examples for
data -parallel programming languages are C* and data -parallel C [82], PC++ [22],
DINO [151], and High...
Parallel Programming: for Multicore and Cluster Systems- P4 pptx
... separate thread
available for execution. Therefore, the application program must apply parallel pro-
gramming techniques to get performance improvements for SMT processors.
2.4.2 MulticoreProcessors
According ... be used for the
transmission and the switching strategy which determines whether and how mes-
sages are cut into pieces, how a routing path is assigned to a message, and...
Parallel Programming: for Multicore and Cluster Systems- P13 ppt
... Pthreads and Sect. 6.2.3 for Java
threads.
114 3 Parallel Programming Models
j, j + p, , j + p ·
(
n/p−1
)
for j ≤ n mod p and j, j + p, , j + p ·
(
n/p−2
)
for n mod p < j ≤ p. For the ... partitioning. In a parallel program, the processors perform computations
only on their part of the data.
Data distributions can be used for parallel programs for distributed as...
Parallel Programming: for Multicore and Cluster Systems- P14 ppt
... are no dependencies and the
loops over i and j can be exchanged. For a parallel implementation, the row- and
column-oriented representations of matrix A give rise to different parallel imple-
mentation ... b, and c for the
program given in Fig. 3.10.
For a row-oriented cyclic distribution, each processor P
k
, k = 1, , p,stores
the rows a
i
of matrix A with i = k + p ·(l − 1...
Parallel Programming: for Multicore and Cluster Systems- P21 pptx
... Language bindings for C, C++, Fortran-77, and Fortran-95 are sup-
ported. In the following, we concentrate on the interface for C and describe the
most important features. For a detailed description, ... product and a matrix–vector multiplication and
derive the formula for the running time on a mesh topology.
Exercise 4.14 Develop a runtime function to capture the execution ti...
Parallel Programming: for Multicore and Cluster Systems- P25 pptx
... communication partners in the form source/dest are given in this
order. For example, for the process with rank=5,itiscoords[1]=1, and there-
fore source=9 (lower neighbor in dimension 0) and dest=1 (upper ... and source for each pro-
cess. These are then used as parameters for MPI
Sendrecv(). The following
diagram illustrates the exchange. For each process, its rank, its Carte...
Parallel Programming: for Multicore and Cluster Systems- P33 ppt
... a.swapBalance(b) and locks the mutex variable of
object a;
• time T
2
: thread A calls getBalance() for object a and executes this function;
• time T
2
: thread B calls b.swapBalance(a) and locks the ... pthread
-
cond
wait() and pthread cond signal() for condition variables in
Pthreads, see Sect. 6.1.3, p. 270. The methods wait() and notify() are imple-
mented using an implicit...
Parallel Programming: for Multicore and Cluster Systems- P34 ppt
... wait() and notify(). This is shown in Fig. 6.35 for a
class Barrier, see also [129]. The Barrier class contains a constructor which
initializes a Barrier object with the number of threads to wait for ... shown in Fig. 6.39 can be used for the synchro-
nization of producer and consumer threads. A similar mechanism has already been
implemented in Fig. 6.32 by using wait() and notify...
