Ghislain Landry Tsafack Chetsa

Learn More
—Modern high performance computing subsystems (HPC) – including processor, network, memory, and IO – are provided with power management mechanisms. These include dynamic speed scaling and dynamic resource sleeping. Understanding the behavioral patterns of high performance computing systems at runtime can lead to a multitude of optimization opportunities(More)
—The rising computing demands of scientific endeavours often require the creation and management of High Performance Computing (HPC) systems for running experiments and processing vast amounts of data. These HPC systems generally operate at peak performance, consuming a large quantity of electricity, even though their workload varies over time.(More)
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract. Nowadays, there is no doubt that energy consumption has become a limiting factor in the design and operation of high performance computing (HPC) systems. This is evidenced by the rise of efforts both from the(More)
Energy usage is becoming a challenge for the design of next generation large scale distributed systems. This paper explores an innovative approach of profiling such systems. It proposes a DNA-like solution without making any assumptions on the running applications and used hardware. This profiling based on internal counters usage and energy monitoring(More)
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract—A wide array of today's high performance computing (HPC) applications exhibits recurring behaviours or execution phases throughout their run-time. Accurate detection of program phases allows reconfiguring the(More)