Parallel Programming: for Multicore and Cluster Systems- P33 ppt
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- 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- 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...
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