Conference Information
HLPP 2021: International Symposium on High-level Parallel Programming and Applications
https://hlpp2021.github.io/
Submission Date:
2021-04-11
Notification Date:
2021-06-14
Conference Date:
2021-07-12
Location:
Online
Years:
14
CORE: c   Viewed: 8240   Tracked: 2   Attend: 0

Call For Papers
Aims and Scope

As processor and system manufacturers adjust their roadmaps towards increasing levels of both inter and intra-chip parallelism, so the urgency of reorienting the mainstream software industry towards these architectures grows.

At present, popular parallel and distributed programming methodologies are dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms.

Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism.

HLPP symposia provide a forum for discussion and research about such high-level approaches to parallel and distributed programming.

Topics

    High-level parallel programming and performance models (e.g. BSP, CGM, LogP, MPM, etc.) and tools
    Declarative parallel and distributed programming methodologies based on functional, logical, data-flow, actor, and other paradigms
    Algorithmic skeletons, patterns, etc. and constructive methods
    High-level parallelism in programming languages and libraries (e.g, Haskell, Scala, C++, etc.): semantics and implementation
    Verification of declarative parallel and distributed programs
    Efficient code generation, auto-tuning and optimization for parallel and distributed programs
    Model-driven software engineering for parallel and distributed systems
    Domain-specific languages: design, implementation and applications
    High-level programming models for heterogeneous/hierarchical platforms with accelerators, e.g., GPU, Many-core, DSP, VPU, FPGA, etc.
    High-level parallel methods for large structured and semi-structured datasets
    Applications of parallel and distributed systems using high-level languages and tools
    Teaching experience with high-level tools and methods for parallel and distributed computing
Last updated by Dou Sun in 2021-03-14
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