Mitigating Variability in HPC Systems and Applications
for Performance and Power Efficiency
SessionDoctoral Showcase Session 2
Presenter
Event Type
Doctoral Showcase
Applications
Architectures
Energy
Heterogeneous Systems
Performance
TimeTuesday, November 14th1:30pm -
1:52pm
Location210-212
DescriptionPower consumption and process variability are two
important, interconnected, challenges of future
generation large-scale HPC data-centers. Current
production petaflop supercomputers consume more than 10
megawatts of power that costs millions of dollars every
year. As HPC moves towards exascale, power consumption
is expected to become a major concern. Not solely
dynamic behavior of HPC applications (such as irregular
or imbalanced applications) but also dynamic behavior of
HPC systems (such as thermal, power, frequency
variations among processors) makes it challenging to
optimize the performance and power efficiency of large
scale applications. Smart and adaptive runtime systems
have great potential to handle these challenges
transparently from the application.
In my thesis, I first analyze frequency, temperature, and power variations in large-scale HPC systems using thousands of cores and different applications. After I identify the cause of these variations, I propose solutions to mitigate them to improve performance and power efficiency.
In my thesis, I first analyze frequency, temperature, and power variations in large-scale HPC systems using thousands of cores and different applications. After I identify the cause of these variations, I propose solutions to mitigate them to improve performance and power efficiency.
Presenter
