Optimizing Software Stack Energy Efficiency of Large Data Systems

The second part of the thesis investigates energy consumption optimization for lossy data compressors and data writing in HPC systems, specifically targeting ...

High-performance computing (HPC) is indispensable in modern scientific research and industry applications, but its energy consumption is a growing concern.

Data Center Optimization Strategies: Increase Efficiency and ...

The data center optimization strategies that we'll discuss can help overcome the problems of outdated technology. Older platforms may have ...

Optimizing Energy Efficiency in Datacenters with Advanced Cooling ...

As the demand for data processing and storage continues to skyrocket, the datacenter industry faces a pressing challenge—to enhance energy ...

Implement Efficient Data Storage Measures - Energy Star

To save energy and reduce costs, use high-speed drives only where necessary, and use slower drives for applications that do not require instantaneous response.

The Impact of Software Optimization on Data Center Energy Usage

Hence, the relationship between software design and energy use in data centers is complex. Small coding choices can have big impacts on power consumption across ...

Energy efficiency optimization in big data processing platform by ...

To the out-of-core data processing, this paper proposes that the energy efficiency of a big data processing platform is closely related to the utilization of ...

Methodologies For Software Energy Optimization - Aegis Softtech

The research field has considered software energy optimization in the last few years because of the high energy consumption by data centres and applications.

Software Energy-Efficiency: Code Optimization Tactics - Medium

By focusing on computational efficiency, low-level or intermediate code optimization, parallelism, and data and communications efficiency, ...

What is Energy Efficiency & Why is it Important? - NVIDIA

Strategies for achieving this goal include using more efficient hardware and software and optimizing cooling systems. Prioritizing energy efficiency in data ...

Optimizing Energy At The System Level - Semiconductor Engineering

“The focus is shifting from optimizing solely for computational efficiency (speed, throughput, latency) to also optimizing for energy efficiency ...

New project to plug the software-stack support gap for energy ...

improve one order of magnitude in energy-efficiency for heterogeneous hardware through the use of the energy-optimized programming model and ...

Optimization techniques for Big Data Systems - YouTube

Optimization helps improve the efficiency of a system leading to a best solution. This webinar will look at effective techniques used across ...

Maximizing Energy Efficiency in Data centres

Continuous advancements in technology, such as the development of more efficient cooling systems, power management technologies, and IT equipment, have ...

Energy Efficiency Optimization in Big Data Processing Platform by ...

To the out-of-core data processing, this paper proposes that the energy efficiency of a big data processing platform is closely related to the utilization of ...

Data Analytics Architecture for Energy Efficiency Optimization in ...

Abstract: This paper proposes a novel control system that uses ontology models in combination with machine learning algorithms in order to increase the ...

Improving energy efficiency in data centers - Stackscale

Heat recovery is a smart way of minimizing energy waste and optimizing energy consumption. Especially when taking into account that data centers generate a huge ...

From SC17: Energy Efficiency in the Software Stack - insideHPC

Since improvements in hardware design are expected to dictate the upper bounds of the system efficiency, there arises a need for the software ...

Optimizing Data Centers for Energy Efficiency - 3DS Blog

Simulating heat sources such as servers in racks, and optimizing rack layouts to avoid heating hotspots. This can not only reduce the cooling ...

"Energy-Efficient Query Processing Strategies for Distributed Big ...

granular level, including software optimizations, efficient data structures, and code optimization ... processing in distributed big data systems ...