OPTIM 2018 - International Workshop on Optimization of Energy Efficient HPC & Distributed Systems (OPTIM 2018)

Energy efficiency optimization has gradually become one fundamental constraint and requisite in the design of High Performance Computing (HPC) and Distributed Systems, comprehending several prominent research domains embracing the processor architectures (homogeneous/heterogeneous many-core GPPs), the processing accelerators and co-processors (e.g., APUs, GPUs, FPGAs, etc.), the distributed infrastructures (clusters, grids, data centers, etc.), the distributed platforms (application models, framework runtimes and virtual machines), and the underlying network and communication subsystem. Moreover, even in the embedded domain, saving energy in battery-supplied devices is established as a fundamental issue in mobile, hand-held and wireless applications and in most pervasive systems.
Accordingly, due to the often imposed thermal, power and energy constraints, an effective minimization and optimization of the energy consumption surpasses the obvious economic impact of the energy cost, since it also directly affects other aspects of the overall infrastructure with a significant influence on its viability, including the power supply and its distribution, cooling mechanisms (cost and space overhead) and management techniques, etc.
These new challenges require innovative and effective solutions to attain an effective optimization and/or minimization of the power consumption in HPC and distributed systems, including energy-efficient architectures, scheduling and mapping algorithms, load-balancing and scalability studies, and communication protocols.
The goal of this workshop is to bring together active researchers who are interested in prevailing issues and prominent challenges related to optimizing computing systems power consumption, energy efficient systems, power-aware distributed systems, and green computing.
Both theoretical papers and papers describing systems implementations and real-world practical experiences will be welcome.
The OPTIM Workshop topics of interest include (but are not limited to) the following:
Computer architecture trends for energy efficiency: Heterogeneous parallel processing architectures (e.g., ARM big.LITTLE); ISA diversity and morphable structures; run-time reconfiguration/adaptation and dynamic scalability; CPU accelerator co-design (GPUs, APUs, FPGAs, etc.); approximate computing techniques and architectures.
Energy/power management and control: Run-time power/energy monitoring and sensing; heat/power/energy models; Dynamic Voltage and Frequency Scaling (DVFS) and power/clock gating strategies; performance vs. power/energy scaling and management.
Energy-aware large scale distributed systems: energy-efficient grids, clouds and data centers; exascale computing systems; energy-aware virtualization techniques for energy efficiency; energy-aware frameworks; virtual machines and network infrastructure management.
Energy-aware communication: energy-efficient models, protocols and routing algorithms applied in the physical (PHY), data-link (MAC), network (IP), transport (TCP/UDP) and middleware layers above; energy-efficient cross-layer protocols; energy trade offs between communication and computation; energy-efficient network services and operations.
Tools and algorithms: Programing languages, compilers and models for energy-aware computing; profiling and simulation tools for heat/power/energy estimation; power- and thermal-aware scheduling, mapping and task/thread migration policies for energy efficiency; energy-aware resource management; operating system support and energy management tools.
Green Computing: models, methodologies and paradigms; sustainable computing; management and balance between performance, reliability and energy consumption; standardization and benchmarking for energy-aware systems; integration with smart grids.