International audienceWe propose a software-based approach using dynamic voltage overscaling to reduce the energy consumption of HPC applications. This technique aggressively lowers the supply voltage below nominal voltage, which introduces timing errors , and we use Algorithm-Based Fault-Tolerance (ABFT) to provide fault tolerance for matrix operations. We introduce a formal model, and we design optimal polynomial-time solutions, to execute a linear chain of tasks. Evaluation results obtained for matrix multiplication demonstrate that our approach indeed leads to significant energy savings, compared to the standard algorithm that always operates at nominal voltage
International audienceModern high performance computing subsystems (HPC) - including processor, netw...
©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish thi...
Current processor designs have a critical operating point that sets a hard limit on voltage scaling....
International audienceWe propose a software-based approach using dynamic voltage overscaling to redu...
International audienceIn this paper, we discuss several scheduling algorithms to execute independent...
International audienceVoltage scaling has been used as a prominent technique to improve energy effic...
Dynamic voltage scaling (DVS) technique is primarily used in digital design to enhance the energy ef...
Low-power consumption has become an important aspect of processors and systems design. Many techniqu...
In this paper, we discuss several scheduling algorithms to execute independent taskswith voltage ove...
Dynamic voltage scaling (DVS) technique is primarily used in digital design to enhance the energy ef...
Scaling of semiconductor devices has enabled higher levels of integration and performance improvemen...
The emphasis on processors that are both low power and high performance has resulted in the incorpor...
Abstract In this brief an approach is proposed to achieve energy savings from reduced voltage opera...
In recent years, circuit reliability in modern high-performance processors has become increasingly i...
Modern digital IC designs have a critical operating point, or ???wall of slack???, that limits volta...
International audienceModern high performance computing subsystems (HPC) - including processor, netw...
©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish thi...
Current processor designs have a critical operating point that sets a hard limit on voltage scaling....
International audienceWe propose a software-based approach using dynamic voltage overscaling to redu...
International audienceIn this paper, we discuss several scheduling algorithms to execute independent...
International audienceVoltage scaling has been used as a prominent technique to improve energy effic...
Dynamic voltage scaling (DVS) technique is primarily used in digital design to enhance the energy ef...
Low-power consumption has become an important aspect of processors and systems design. Many techniqu...
In this paper, we discuss several scheduling algorithms to execute independent taskswith voltage ove...
Dynamic voltage scaling (DVS) technique is primarily used in digital design to enhance the energy ef...
Scaling of semiconductor devices has enabled higher levels of integration and performance improvemen...
The emphasis on processors that are both low power and high performance has resulted in the incorpor...
Abstract In this brief an approach is proposed to achieve energy savings from reduced voltage opera...
In recent years, circuit reliability in modern high-performance processors has become increasingly i...
Modern digital IC designs have a critical operating point, or ???wall of slack???, that limits volta...
International audienceModern high performance computing subsystems (HPC) - including processor, netw...
©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish thi...
Current processor designs have a critical operating point that sets a hard limit on voltage scaling....