The data used to generate the graphs in Figures 2 and 3 of the paper "Less is More: Exploiting the Standard Compiler Optimization Levels for Better Performance and Energy Consumption" at SCOPES'18. The data includes power consumption, code size, and running time, indexed by an ID that identifies the combination of compiler options. Data is stored in a CSV file that identifies the specific benchmark, organized into a zip file that identifies the chip architecture. See README.txt for details
This is a supporting code artifact for the publication: "CompilerGym: Robust, Performant Compiler Op...
Today's cutting-edge applications, ranging from wearable devices and embedded medical sensors to hig...
The rapidly increasing number of architectural changes in embedded processors puts compiler technolo...
The data used to generate the graphs in Figures 2 and 3 of the paper "Less is More: Exploiting the S...
Abstract--- Energy efficiency is becoming increasingly important for computation, especially in the ...
As energy consumption plays a more and more critical role in high-performance computing installation...
Optimization outside of traditional frameworks is emerging as a new research focus in the compiler c...
The demand for high-performance architectures and powerful battery-operated mobile devices has accen...
Abstract—Optimizing for energy constraints is of critical importance due to the proliferation of bat...
Production compilers have achieved a high level of maturity in terms of generating efficient code. C...
This paper studies the overall system power variations of two multi-core architectures, an 8-core In...
Compiler optimizations are difficult to implement and add complexity to a compiler. For this reason,...
Recent years have witnessed a rapid growth in research activity targeted at reducing energy consumpt...
Embedded processor performance is dependent on both the underlying architecture and the compiler opt...
The advent of data proliferation and electronic devices gets low execution time and energy consumpti...
This is a supporting code artifact for the publication: "CompilerGym: Robust, Performant Compiler Op...
Today's cutting-edge applications, ranging from wearable devices and embedded medical sensors to hig...
The rapidly increasing number of architectural changes in embedded processors puts compiler technolo...
The data used to generate the graphs in Figures 2 and 3 of the paper "Less is More: Exploiting the S...
Abstract--- Energy efficiency is becoming increasingly important for computation, especially in the ...
As energy consumption plays a more and more critical role in high-performance computing installation...
Optimization outside of traditional frameworks is emerging as a new research focus in the compiler c...
The demand for high-performance architectures and powerful battery-operated mobile devices has accen...
Abstract—Optimizing for energy constraints is of critical importance due to the proliferation of bat...
Production compilers have achieved a high level of maturity in terms of generating efficient code. C...
This paper studies the overall system power variations of two multi-core architectures, an 8-core In...
Compiler optimizations are difficult to implement and add complexity to a compiler. For this reason,...
Recent years have witnessed a rapid growth in research activity targeted at reducing energy consumpt...
Embedded processor performance is dependent on both the underlying architecture and the compiler opt...
The advent of data proliferation and electronic devices gets low execution time and energy consumpti...
This is a supporting code artifact for the publication: "CompilerGym: Robust, Performant Compiler Op...
Today's cutting-edge applications, ranging from wearable devices and embedded medical sensors to hig...
The rapidly increasing number of architectural changes in embedded processors puts compiler technolo...