This paper presents a simple method to reduce performance loss due to a parallel program's massive critical sections of parallel numerical integration. The method transforms a fine-grain parallel loop into a coarse grain parallel loop that nests a sequential loop. The coarse grain parallel loop is by nesting a loop block to make task granularities coarser than that naive one. In addition to the overhead reduction, the method makes the parallel work fraction significantly more significant than the serial fraction. As a result, nesting a serial loop within a parallel loop improves the parallel program's performance. Compared to the naïve method, which does not scale the performance of a parallel program of numerical integration, the nesting s...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
A coarse-grain parallel program typically has one thread (task) per processor, whereas a fine-grain ...
Parallel processing has been used to increase performance of computing systems for the past several ...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
OpenMP provides several mechanisms to specify parallel source-code transformations. Unfortunately, m...
Abstract — Parallelization is an important technique to increase the performance of software program...
Single core designs and architectures have reached their limits due to heat and power walls. In orde...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
Machines comprised of a distributed collection of shared memory or SMP nodes are becoming common for...
In this paper we discuss the use of nested parallelism. Our claim is that if the problem naturally p...
In this paper we will make an experimental description of the parallel programming using OpenMP. Usi...
Today, almost all desktop and laptop computers are shared-memory multicores, but the code they run i...
Tasking promises a model to program parallel applications that provides intuitive semantics. In the ...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
A coarse-grain parallel program typically has one thread (task) per processor, whereas a fine-grain ...
Parallel processing has been used to increase performance of computing systems for the past several ...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
OpenMP provides several mechanisms to specify parallel source-code transformations. Unfortunately, m...
Abstract — Parallelization is an important technique to increase the performance of software program...
Single core designs and architectures have reached their limits due to heat and power walls. In orde...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
Machines comprised of a distributed collection of shared memory or SMP nodes are becoming common for...
In this paper we discuss the use of nested parallelism. Our claim is that if the problem naturally p...
In this paper we will make an experimental description of the parallel programming using OpenMP. Usi...
Today, almost all desktop and laptop computers are shared-memory multicores, but the code they run i...
Tasking promises a model to program parallel applications that provides intuitive semantics. In the ...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
A coarse-grain parallel program typically has one thread (task) per processor, whereas a fine-grain ...
Parallel processing has been used to increase performance of computing systems for the past several ...