1^st Workshop on Resource Arbitration for Dynamic Runtimes (RADR 2019)

May 24, 2019, Rio de Janeiro, Brazil

Scope & Topics

The question of efficient dynamic allocation of compute-node resources, such as cores, by independent libraries or runtime systems can be a nightmare. Scientists writing application components have no way to efficiently specify and compose resource-hungry components. As application software stacks become deeper and the interaction of multiple runtime layers compete for resources from the operating system, it has become clear that intelligent cooperation is needed. Resources such as compute cores, in-package memory, and even electrical power must be orchestrated dynamically across application components, with the ability to query each other and respond appropriately. A more integrated solution would reduce intra-application resource competition and improve performance. Furthermore, application runtime systems could request and allocate specific hardware assets and adjust runtime tuning parameters up and down the software stack.

The goal of this workshop is to gather and share the latest scholarly research from the community working on these issues, at all levels of the HPC software stack. This include thread allocation, resource arbitration and management, containers, and so on, from runtime-system designers to compilers. We will also use panel sessions and keynote talks to discuss these issues, share visions, and present solutions.

For this workshop we welcome original work, presenting state of the practice and state of the art and covering different aspects of resource arbitration, thread placement, and resource management at the system level for parallel applications on multicore systems. We also welcome surveys, position papers, and standardization proposals. Submitted manuscripts may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references.

Topics of Interest :

• Topology abstractions 
  
• Cache partitioning 
  
• Energy management 
  
• Thread management across software components 
  
• Memory allocation and partitioning 
  
• Hierarchical and heterogeneous memory 
  
• Communication progression 
  
• Containers for improved resource management 
  
• Software-defined networking 
  
• Cross-layer optimization 
  
• High-level abstractions to partition resources 
  
• Runtime system/language/library interaction 
  
• Parallel programming model coordination 
  
• Library cooperation 
  
• Resource conflicts between application components 
  
• Resource interference in the context of single workloads 
  

Important Dates

Submission Deadline	:	February 01, 2019
Authors Notification	:	March 12, 2019
Final Manuscript Due	:	N/A

 

User Name : austin
Posted 08-12-2018 on 17:33:35 AEDT

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