SaaS for Energy Efficient Utilization of HPC Resources of Linear Algebra Calculations
نویسندگان
چکیده
The most important factor of High performance computing (HPC) systems nowadays is to limit or decrease the power consumption while preserving a high utilization. And with the availability of alternative energy, which powers such systems, there is a need to maximize the usage of alternative energy over brown power. For now, the usage of alternative energy is varying in time due to different factors such as sunny days, the wind, etc. and it is crucial to have an energy-aware algorithm to maximize the usage of this energy. In this paper a SaaS service is presented to optimize a usage of alternative energy, to reduce the power consumption and to preserve a best possible percentage of resource utilization.
منابع مشابه
Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems
Scientific and engineering problems are becoming increasingly complex. Such complex problems include numerical simulations, molecular dynamics, computational fluid dynamics, bioinformatics, image processing, and deep-learning, to name a few. In addition to these complexities, improvements in high performance computing (HPC) compromise important modifications on computer architectures, bridging ...
متن کاملEffect of Wind Turbine, Solar Cells and Storages in Short Term Operation of Coupled Electricity and Gas Infrastructures in Different Climates
The biggest challenges faced in big cities are greenhouse gas emission and growing energy needs. Efficient utilization of existing infrastructures has a prominent role in response to the challenges. Energy hub approach embraces performance of different energy networks. Energy hub is defined as a super node in electrical system receiving distinctive energy carriers such as gas and electricity in...
متن کاملA domain decomposition algorithm for improved staggered fermions on GPUs
Lattice QCD is a numerical approach to the theory of the strong interaction. Calculations in this field answer fundamental questions about the nature of matter, provide insight into the evolution of the early universe, and play a crucial role in the search for new theories beyond the Standard Model of elementary particle physics. Massive computational resources are needed to achieve these goals...
متن کاملAccelerating BLAS and LAPACK via Efficient Floating Point Architecture Design
Basic Linear Algebra Subprograms (BLAS) and Linear Algebra Package (LAPACK) form basic building blocks for several High Performance Computing (HPC) applications and hence dictate performance of the HPC applications. Performance in such tuned packages is attained through tuning of several algorithmic and architectural parameters such as number of parallel operations in the Directed Acyclic Graph...
متن کاملFuel Consumption Reduction and Energy Management in Stand-Alone Hybrid Microgrid under Load Uncertainty and Demand Response by Linear Programming
A stand-alone microgrid usually contains a set of distributed generation resources, energy storage system and loads that can be used to supply electricity of remote areas. These areas are small in terms of population and industry. Connection of these areas to the national distribution network due to the high costs of constructing transmission lines is not economical. Optimal utilization and eco...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Scalable Computing: Practice and Experience
دوره 18 شماره
صفحات -
تاریخ انتشار 2017