As processor and system manufacturers increase the amount of both inter–<br>and intra–chip parallelism it becomes crucial to provide the software<br>industry with high–level, clean and efficient tools for parallel programming.<br>Parallel and distributed programming methodologies are currently dominated<br>by low–level techniques such as send/receive message passing, or equivalently<br>unstructured shared memory mechanisms. Higher–level, structured approaches<br>offer many possible advantages and have a key role to play in the scalable<br>exploitation of ubiquitous parallelism.<br>HLPP 2014 invites papers on all topics in high–level parallel programming,<br>its tools and applications including, but not limited to, the following<br>aspects:<br>+ High–level programming and performance models (BSP, CGM, LogP, MPM, etc.)<br>and their tools<br>+ Declarative parallel programming methodologies<br>+ Algorithmic skeletons and constructive methods<br>+ Declarative parallel programming languages and libraries:<br>semantics and implementation<br>+ Verification of declarative parallel and distributed programs<br>+ Software synthesis, automatic code generation for parallel programming<br>+ Model–driven software engineering with parallel programs<br>+ High–level programming models for heterogeneous/hierarchical platforms<br>+ High–level parallel methods for large datasets<br>+ Applications of parallel systems using high–level languages and tools<br>+ Teaching experience with high–level tools and methods<br>
Abbrevation
HLPP
City
Amsterdam
Country
Netherlands
Deadline Paper
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