NDLI: Exploring power behaviors and trade-offs of in-situ data analytics

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20 petaflops simulation of proteins suspensions in crowding conditions

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Location-aware cache management for many-core processors with deep cache hierarchy

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Coordinated energy management in heterogeneous processors

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Scalable virtual machine deployment using VM image caches

Taming parallel I/O complexity with auto-tuning

A scalable parallel algorithm for dynamic range-limited n-tuple computation in many-body molecular dynamics simulation

Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows

Exploring power behaviors and trade-offs of in-situ data analytics

Scalable domain decomposition preconditioners for heterogeneous elliptic problems

Swendsen-Wang multi-cluster algorithm for the 2D/3D Ising model on Xeon Phi and GPU

Enabling comprehensive data-driven system management for large computational facilities

A computationally efficient algorithm for the 2D covariance method

On fast parallel detection of strongly connected components (SCC) in small-world graphs

Predicting application performance using supervised learning on communication features

11 PFLOP/s simulations of cloud cavitation collapse

Using simulation to explore distributed key-value stores for extreme-scale system services

Semi-automatic restructuring of offloadable tasks for many-core accelerators

A distributed dynamic load balancer for iterative applications

Hybrid MPI: efficient message passing for multi-core systems

Practical nonvolatile multilevel-cell phase change memory

Low-power, low-storage-overhead chipkill correct via multi-line error correction

Precimonious: tuning assistant for floating-point precision

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Compiling affine loop nests for distributed-memory parallel architectures

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COCA: online distributed resource management for cost minimization and carbon neutrality in data centers

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Scalable parallel graph partitioning

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Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems

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Guide-copy: fast and silent migration of virtual machine for datacenters

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Parallel design and performance of nested filtering factorization preconditioner

Mr. Scan: extreme scale density-based clustering using a tree-based network of GPGPU nodes

Insights for exascale IO APIs from building a petascale IO API

An improved parallel singular value algorithm and its implementation for multicore hardware

Algorithms for high-throughput disk-to-disk sorting

Investigating applications portability with the Uintah DAG-based runtime system on PetaScale supercomputers

The origin of mass

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HACC: extreme scaling and performance across diverse architectures

Exploring power behaviors and trade-offs of in-situ data analytics

Content Provider	ACM Digital Library
Author	Chen, Jacqueline Kolla, Hemanth Bennett, Janine C. Gyulassy, Attila Klasky, Scott Landge, Aaditya G. Rodero, Ivan McCormick, Patrick Bremer, Peer-Timo Pakin, Scott Pascucci, Valerio Gamell, Marc Parashar, Manish
Abstract	As scientific applications target exascale, challenges related to data and energy are becoming dominating concerns. For example, coupled simulation workflows are increasingly adopting in-situ data processing and analysis techniques to address costs and overheads due to data movement and I/O. However it is also critical to understand these overheads and associated trade-offs from an energy perspective. The goal of this paper is exploring data-related energy/performance trade-offs for end-to-end simulation workflows running at scale on current high-end computing systems. Specifically, this paper presents: (1) an analysis of the data-related behaviors of a combustion simulation workflow with an in-situ data analytics pipeline, running on the Titan system at ORNL; (2) a power model based on system power and data exchange patterns, which is empirically validated; and (3) the use of the model to characterize the energy behavior of the workflow and to explore energy/performance trade-offs on current as well as emerging systems.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781450323789
DOI	10.1145/2503210.2503303
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-17
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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