The design, implementation, and evaluation of a compiler algorithm for CPU energy reduction
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Conserving disk energy in network servers
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
Data Sieving and Collective I/O in ROMIO
FRONTIERS '99 Proceedings of the The 7th Symposium on the Frontiers of Massively Parallel Computation
DRPM: dynamic speed control for power management in server class disks
Proceedings of the 30th annual international symposium on Computer architecture
Automatic ARIMA Time Series Modeling for Adaptive I/O Prefetching
IEEE Transactions on Parallel and Distributed Systems
Integrated Performance Monitoring of a Cosmology Application on Leading HEC Platforms
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
A Dynamic Compilation Framework for Controlling Microprocessor Energy and Performance
Proceedings of the 38th annual IEEE/ACM International Symposium on Microarchitecture
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
Computer Architecture, Fourth Edition: A Quantitative Approach
Computer Architecture, Fourth Edition: A Quantitative Approach
Software-directed power-aware interconnection networks
ACM Transactions on Architecture and Code Optimization (TACO)
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Adagio: making DVS practical for complex HPC applications
Proceedings of the 23rd international conference on Supercomputing
HYBUD: An Energy-Efficient Architecture for Hybrid Parallel Disk Systems
ICCCN '09 Proceedings of the 2009 Proceedings of 18th International Conference on Computer Communications and Networks
Performance Evaluation of Energy-Efficient Parallel I/O Systems with Write Buffer Disks
ICPP '09 Proceedings of the 2009 International Conference on Parallel Processing
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
IEEE Transactions on Parallel and Distributed Systems
Evaluating Parallel I/O Energy Efficiency
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
A Novel Power Management for CMP Systems in Data-Intensive Environment
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system
Proceedings of the 3rd Workshop on Fault-tolerance for HPC at extreme scale
A generic high-performance method for deinterleaving scientific data
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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Improving energy efficiency is a primary concern in high performance computing system design. Because I/O accesses account for a large portion of the execution time for data intensive applications, energy-aware parallel I/O subsystems are critical for addressing challenges related to HPC energy efficiency. In this paper, we present an energy-conscious parallel I/O middleware approach that combines runtime I/O access interception and Dynamic Voltage and Frequency Scaling capability available on modern processors to intelligently schedule the system's power-performance mode for energy savings. We implement this approach into SERA-IO, an MPI-IO based middleware to enable energy consciousness for I/O intensive applications. Experimental evaluations conducted on real systems using multiple parallel I/O benchmarks show that SERA-IO can reduce system energy by 9% to 28% without decreasing application performance. With the emerging of large-scale data intensive applications and ever larger and more complex parallel computing systems, intelligent, energy conscious software and runtime systems such as SERA-IO are critical for the success of future high-end computing.