In this paper, we present OmpSs, a programming model based on OpenMP and StarSs, that can also incorporate the use of OpenCL or CUDA kernels. We evaluate the proposal on different architectures, SMP, GPUs, and hybrid SMP/GPU environments, showing the wide usefulness of the approach. The evaluation is done with six different benchmarks, Matrix Multiply,…
Parallel Processing Letters Template
Write in a clean editor, then format for Parallel Processing Letters in one click — DocuGuru applies the official World Scientific template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Parallel Processing Letters format
Parallel Processing Letters is a peer-reviewed journal published by World Scientific, covering Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Distributed and Parallel Computing Systems.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Parallel Processing Letters 12, 45–58 (2023).
Formats any DOI in the closest standard style — Parallel Processing Letters has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Parallel Computing and Optimization Techniques Interconnection Networks and Systems Distributed and Parallel Computing Systems Distributed systems and fault tolerance Advanced Data Storage Technologies |
| ISSN | 0129-6264 |
| Citation impact (2-yr) | 0.36 |
| h-index | 46 |
| i10-index | 296 |
| Total citations | 12,026 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.worldscientific.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Parallel Processing Letters per year
Citation impact of Parallel Processing Letters by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Parallel Processing Letters
Graph algorithms are becoming increasingly important for solving many problems in scientific computing, data mining and other domains. As these problems grow in scale, parallel computing resources are required to meet their computational and memory requirements. Unfortunately, the algorithms, software, and hardware that have worked well for developing mainstream parallel scientific applications are not necessarily…
The polyhedral model for loop parallelization has proved to be an effective tool for advanced optimization and automatic parallelization of programs in higher-level languages. Yet, to integrate such optimizations seamlessly into production compilers, they must be performed on the compiler's internal, low-level, intermediate representation (IR). With Polly, we present an infrastructure for polyhedral optimizations on…
Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism in weather models, much of the performance increase has come from increasing processor speed rather than increased parallelism. This free ride is nearly over. Recent results also indicate that simply…
Structured peer-to-peer (P2P) lookup services organize peers into a flat overlay network and offer distributed hash table (DHT) functionality. Data is associated with keys and each peer is responsible for a subset of the keys. In hierarchical DHTs, peers are organized into groups, and each group has its autonomous intra-group overlay network and lookup service.…