posted by user: amimar || 224 views || tracked by 1 users: [display]



When Sep 8, 2024 - Sep 11, 2024
Where Ostrava, Czech Republic
Submission Deadline Apr 30, 2024
Notification Due Jun 7, 2024
Final Version Due Oct 31, 2024
Categories    parallel languages   heterogenous computing   performance portability   benchmarks

Call For Papers

WLPP 2024 is a full-day workshop to be held at the PPAM 2024 focusing on high level programming for large-scale parallel systems and multicore processors, with special emphasis on component architectures and models. Its goal is to bring together researchers working in the areas of applications, computational models, language design, compilers, system architecture, and programming tools to discuss new developments in programming Clouds and parallel systems. The workshop focuses on any language-based parallel programming model such as OpenMP, Python, Java parallel extensions, PGAS languages, Unified Parallel C (UPC), Co-Array FORTRAN (CAF) and GPGPU and hybrid language-based programming models such as CUDA, OpenCL, OneAPI, SYCL, RAJA, Kokkos and OpenACC. Contributions on other high-level programming models and supportive environments for parallel and distributed systems are equally welcome.

This workshop will feature papers that explore experiences from application developers in the use of the language and performance of real applications, experiences in the implementation of tools supporting the development and parallelization of applications or supporting the final execution on different computing platforms. We also welcome experiences in moving ideas and concepts from one programming model to another.

Possible topics include, but are not limited to,

* Language and library implementations.
* Proposals for, and evaluation of, language extensions.
* Applications development experiences.
* Comparisons between programming models.
* Benchmark Suites and performance studies.
* Debuggers and performance analysis tools.
* Compiler Implementation and Optimization.
* Optimization Techniques.
‚Äč* Performance Portability.
* Hybrid Models (OpenMP-MPI etc.)

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