Intel TBB is an approach for expressingparallelismin C++ programs[19]. It exploits a higher-level, task-based parallelism that abstracts the platform details and threading mechanisms for scalability and performance. A similar noncommercial product is STAPL[20]. Both approaches rely on manual code in...
In other approaches, the creation of new skeletons is considered as a system programming task, or even as a compiler construction task. Skeletons are implemented by using imperative languages and parallel libraries. Therefore, these systems offer a closed collection of skeletons which the application ...
SkePU supports parallel OpenMP execution on the CPU and offloading to GPUs with OpenCL and CUDA. Because SkePU is also pure C++, an integration in MEPHISTO is conceptionally possible [7]. Other GPU-capable approaches are the Muenster Skeleton Library [19], StarPU [1] and SkelCL [17]. ...
Upon completion of the local processing at each device, updates from the local processing of the parallel approaches are either shared through a parameter server (centralised decision-making) or directly between the devices. View article Journal 2022, Future Generation Computer SystemsChristine Mwase, ...
(LLNL), written in C++. The mini-app has several versions for evaluating different programming approaches, both in terms of the quality of the code and performance. We worked with the developers to rewrite their existing OpenMP-based code to use C++ Parallel Algorithms. Figure 2 shows an ...
We request submissions of position papers that propose new directions for research or products in these areas, advocate non-traditional approaches to the problems engendered by parallelism, or potentially generate controversy and discussion. We encourage submissions from practitioners as well as from resear...
In reality, though, both approaches are suitable for a wide range of tasks; most Parallel Haskell benchmarks achieve broadly similar results when coded with either Strategies or the Par monad. So which to choose is to some extent a matter of personal preference. However, there are a number ...
Paralleland Cluster ComputingComputer Science - Programming LanguagesStream computation is one of the approaches suitable for FPGA-based custom computing due to its high throughput capability brought by pipelining with regular memory access. To increase performance of iterative stream computation, we can ...
We will first discuss in depth various 1D parallelism techniques and their pros and cons and then look at how they can be combined into 2D and 3D parallelism to enable an even faster training and to support even bigger models. Various other powerful alternative approaches will be presented. ...
The factors outlined in this paper are analyzed the current business demands and need of parallelism of existing sequential source code. To address these requirements, we reviewed the ongoing research in parallelization and we conclude some solution approaches.Pradip S. Devan...