IPDRM 2017 - Emerging Parallel and Distributed Runtime Systems and Middleware
Topics/Call fo Papers
This workshop will emphasize novel, disruptive research ideas over incremental advances. We will solicit papers on topics including, but not limited to, the following areas:
Runtime System/Middleware Design, Evaluation and Usage
Runtime/Middleware for emerging HPC and cloud computing platforms
Runtime/Middleware for Big Data Computing
Modeling and Performance Analysis of Runtime Systems
Comparison studies of different runtime systems and middleware
Tuning and Optimization studies
Interactions between Runtime Systems and Middleware
Runtime-architecture co-design
Constraints and Issues for Runtime Systems and Middleware
Energy- and Power-aware schemes
Fault Tolerance and Reliability
Scalable high-performance I/O and access to Big Data
Memory management
Runtime data analysis (e.g., in-situ analysis)
Real-time solutions and QOS
Virtualization, provisioning, and scheduling
Scalability of novel runtime systems and applications using them
Design Principles and Programming Support
High-level programming models (e.g., thread and task based models, data parallel models, and stream programming) and domain-specific languages
Programming frameworks, parallel programming, and design methodologies
Methodologies and tools for runtime and middleware design, implementation , verification, and evaluation
Wild and crazy ideas on future Runtime System and Middleware
Runtime System/Middleware Design, Evaluation and Usage
Runtime/Middleware for emerging HPC and cloud computing platforms
Runtime/Middleware for Big Data Computing
Modeling and Performance Analysis of Runtime Systems
Comparison studies of different runtime systems and middleware
Tuning and Optimization studies
Interactions between Runtime Systems and Middleware
Runtime-architecture co-design
Constraints and Issues for Runtime Systems and Middleware
Energy- and Power-aware schemes
Fault Tolerance and Reliability
Scalable high-performance I/O and access to Big Data
Memory management
Runtime data analysis (e.g., in-situ analysis)
Real-time solutions and QOS
Virtualization, provisioning, and scheduling
Scalability of novel runtime systems and applications using them
Design Principles and Programming Support
High-level programming models (e.g., thread and task based models, data parallel models, and stream programming) and domain-specific languages
Programming frameworks, parallel programming, and design methodologies
Methodologies and tools for runtime and middleware design, implementation , verification, and evaluation
Wild and crazy ideas on future Runtime System and Middleware
Other CFPs
- IEEE Workshop on Dependable Parallel, Distributed and Network-Centric Systems
- Workshops on Job Scheduling Strategies for Parallel Processing
- Workshop on Large-Scale Parallel Processing
- Workshop on High-Performance Power-Aware Computing (HPPAC)
- 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-17)
Last modified: 2016-11-16 11:51:46