As energy consumption plays a more and more critical role in high-performance computing installations, investigating the influence of the different system components and their share w.r.t. energy consumption is of great interest. The compiler is one of the key parts of the software environment. Unlike processor frequency and power limits, the influence of the compiler and its sets of optimizations on energy consumption has not received much attention in the field of high-performance computing yet. In this paper, we present a study which compares the GNU and Intel compiler infrastructures with each other concerning the energy consumption of the generated code. We use the HPCG benchmark as target application and perform energy measurements us...
Automatic parallelizing compilers have evolved greatly over the last decade. Tools like Pluto, Par4A...
International audienceWriting sustainable, power efficient and green software necessitates understan...
We have measured the energy efficiency of different memory management strategies on a high performan...
Abstract--- Energy efficiency is becoming increasingly important for computation, especially in the ...
The demand for high-performance architectures and powerful battery-operated mobile devices has accen...
Estimating energy consumption already during development as precisely as possible is crucial for man...
Abstract—Optimizing for energy constraints is of critical importance due to the proliferation of bat...
International audienceThe past decade witnessed the inclusion of power measurements to evaluate the ...
The rapidly increasing number of architectural changes in embedded processors puts compiler technolo...
This paper studies the overall system power variations of two multi-core architectures, an 8-core In...
Abstract. The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HT...
Energy costs nowadays represent a significant share of the total costs of ownership of High Performa...
Abstract—GreenIT has emerged as a discipline concerned with the optimization of software solutions w...
Energy efficiency is a matter of importance that gets more apparent with every passing day. As we mo...
High Performance Computing (HPC) has become an indispensable tool for the scientific community to pe...
Automatic parallelizing compilers have evolved greatly over the last decade. Tools like Pluto, Par4A...
International audienceWriting sustainable, power efficient and green software necessitates understan...
We have measured the energy efficiency of different memory management strategies on a high performan...
Abstract--- Energy efficiency is becoming increasingly important for computation, especially in the ...
The demand for high-performance architectures and powerful battery-operated mobile devices has accen...
Estimating energy consumption already during development as precisely as possible is crucial for man...
Abstract—Optimizing for energy constraints is of critical importance due to the proliferation of bat...
International audienceThe past decade witnessed the inclusion of power measurements to evaluate the ...
The rapidly increasing number of architectural changes in embedded processors puts compiler technolo...
This paper studies the overall system power variations of two multi-core architectures, an 8-core In...
Abstract. The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HT...
Energy costs nowadays represent a significant share of the total costs of ownership of High Performa...
Abstract—GreenIT has emerged as a discipline concerned with the optimization of software solutions w...
Energy efficiency is a matter of importance that gets more apparent with every passing day. As we mo...
High Performance Computing (HPC) has become an indispensable tool for the scientific community to pe...
Automatic parallelizing compilers have evolved greatly over the last decade. Tools like Pluto, Par4A...
International audienceWriting sustainable, power efficient and green software necessitates understan...
We have measured the energy efficiency of different memory management strategies on a high performan...