Conference Information
HLPP 2023: International Symposium on High-level Parallel Programming and Applications
https://www.cs.ubbcluj.ro/hlpp2023/Submission Date: |
2023-04-17 Extended |
Notification Date: |
2023-05-15 |
Conference Date: |
2023-06-29 |
Location: |
Cluj-Napoca, Romania |
Years: |
16 |
CORE: c Viewed: 9575 Tracked: 2 Attend: 0
Call For Papers
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 HLPP 2023 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: 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 2023-04-16
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