2022 Workshop on Accelerator Programming Using Directives WACCPD

活动简介

AboutComputing and Processing
Keywords:Supercomputers,High Performance Computing,HPC,GPU Accelerated Computing,Programming Models,
Scope:Exploiting the maximum available parallelism out of such systems necessitates refactoring applications and using a programming approach that can make use of the accelerators. Historically, the favored portable approaches, and sole focus of our earlier workshops, were OpenMP offloading and OpenACC, both based on directives. Today, we recognize the evolution of other options to adapt to heterogeneity and, starting in 2021, we extended the workshop to include use of standard Fortran/C++, SYCL, DPC++, Kokkos, and RAJA among several alternatives that can provide scalable as well as portable solutions without compromising on performance. WACCPD has been one of the major forums at SC to bring together programming model users, developers, and the tools community to share knowledge and experiences to tackle emerging complex parallel computing systems.
Sponsor Type:1; 9

征稿信息

重要日期

2022-08-05

摘要截稿日期

征稿范围

Topics of interest for workshop submissions include (but are not limited to)

Application developer’s experiences porting scientific applications to modern systems
Critical assessment of the possibilities and limitations of minimal-maintenance approaches with respect to achieved portability and performance — Support the analysis with case studies
Compiler and runtime support for current and emerging architectures (e.g. heterogeneous architectures, low-power processors)
Evaluation of alternative abstractions for expressing parallelism or managing complex/heterogeneous memory hierarchies in base languages, frameworks or directives-based programming languages
Extensions to and shortcomings of current directives for heterogeneous systems
Auto-tuning and optimization strategies leveraging high-level programming abstractions
Extending directive-based approaches to other environments such as Julia or Python
Parallel computing using hybrid programming paradigms (e.g. MPI, OpenMP/OpenMP offloading, OpenACC, OpenSHMEM, OneAPI)
Asynchronous execution and scheduling (task-based approaches)
Power/energy studies and solutions targeting accelerators or heterogeneous systems