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2015 Proceeding- General Chairs:
- Kirk Cameron,
- Adolfy Hoisie,
- Darren Kerbyson,
- David Lowenthal,
- Dimitrios S. Nikolopoulos,
- Sudha Yalamanchili,
- Program Chairs:
- Laura Carrington,
- Joseph Manzano
With Exascale systems on the horizon, we will be ushering in an era with power and energy consumption as the primary concerns for scalable computing. To achieve viable high performance, revolutionary methods are required with a stronger integration among hardware features, system software and applications. Equally important are the capabilities for fine-grained spatial and temporal measurement and control to facilitate energy efficient computing across all layers. Current approaches for energy efficient computing rely heavily on power efficient hardware in isolation. However, it is pivotal for hardware to expose mechanisms for energy efficiency to optimize power and energy consumption for various workloads and to reduce data motion, a major component of energy use. At the same time, high fidelity measurement techniques, typically ignored in data-center level measurement, are of high importance for scalable and energy efficient inter-play in different layers of application, system software and hardware.
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Early experiences with node-level power capping on the Cray XC40 platform
Power consumption of extreme-scale supercomputers has become a key performance bottleneck. Yet current practices do not leverage power management opportunities, instead running at "maximum power". This is not sustainable. Future systems will need to ...
Adaptive precision solvers for sparse linear systems
We formulate an implementation of a Jacobi iterative solver for sparse linear systems that iterates the distinct components of the solution with different precision in terms of mantissa length. Starting with very low accuracy, and using an inexpensive ...
Experimental design and comparative testing of a hybrid-cooled computer cluster
With water cooling becoming an affordable option both at home and at scale, it is important to consider the possible benefits over air cooling. There are several methods of liquid cooling, notables include: immersion, cold water cooling, and warm water ...
Towards the development of hierarchical data motion power cost models
Data intensive applications comprise a considerable portion of HPC center workloads. Whether large amounts of data transfer occur before, during or after an application is executed, this cost must be considered. Not just in terms of performance (e.g. ...
Towards an application-specific thermal energy model of current processors
Recent developments of high-end processors recognize temperature monitoring and tuning as one of the main challenges towards achieving higher performance given the growing power and temperature constraints. To address this challenge, one needs both ...
Compute bottlenecks on the new 64-bit ARM
- Adam Jundt,
- Allyson Cauble-Chantrenne,
- Ananta Tiwari,
- Joshua Peraza,
- Michael A. Laurenzano,
- Laura Carrington
The trifecta of power, performance and programmability has spurred significant interest in the 64-bit ARMv8 platform. These new systems provide energy efficiency, a traditional CPU programming model, and the potential of high performance when enough ...
Measurement and characterization of Haswell power and energy consumption
The recently introduced Intel Haswell processors implement major changes compared to their predecessors, especially with respect to power management. Haswell processors are used in the new-generation DOE NNSA tri-lab supercomputer, Trinity, hosted at ...
Index Terms
- Proceedings of the 3rd International Workshop on Energy Efficient Supercomputing