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2015 2015 31st IEEE International Conference on Data Engineering Workshops  
l1 Query Processing on Low-Energy Many-Core Processors Kay, Judy 30 '!  ...  d Query Processing on Low-Energy Many-Core Processors Franklin, Michael 30 [Search] ABCDEFGHI JKLMNOPQRSTUVWXYZ G Gao, Ming 00 59 '!:!  ... 
doi:10.1109/icdew.2015.7129529 fatcat:4vkbzbkin5fvhmiibrbqxegjaq

Energy-Efficient Query Processing on Embedded CPU-GPU Architectures

Xuntao Cheng, Bingsheng He, Chiew Tong Lau
2015 Proceedings of the 11th International Workshop on Data Management on New Hardware - DaMoN'15  
We further show that CPU-GPU query co-processing can be an effective means of energy-efficient query co-processing in embedded systems with proper tuning and optimizations.  ...  Specifically, we study four major database operators as microbenchmarks and evaluate TPC-H queries on CARMA, which has a quad-core ARM Cortex-A9 CPU and a NVIDIA Quadro 1000M GPU.  ...  Energy Savings on Embedded Systems Many embedded devices are often considered as wimpy nodes since they have limited memory, low co-processing power and low power consumptions.  ... 
doi:10.1145/2771937.2771939 dblp:conf/damon/ChengHL15 fatcat:ej555t45lncgbmwv5uvzxipxpu

4.-8. März 2019

Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl
2019 Datenbanksysteme für Business, Technologie und Web  
Currently, database engines have to be manually optimized for each processor which is a costly and error prone process.  ...  Our key idea is to create processor-specific code variants and to learn a well-performing code variant for each processor.  ...  Hardware vendors integrate heterogeneous processor cores on the same chip, e.g., combining CPU and GPU cores as in AMD's Accelerated Processing Units (APUs).  ... 
doi:10.18420/btw2019-ws-07 dblp:conf/btw/BressFZRM19 fatcat:vfmh6qio6zdorev2vj7vb6ig7e

Mobile processors for energy-efficient web search

Vijay Janapa Reddi, Benjamin C. Lee, Trishul Chilimbi, Kushagra Vaid
2011 ACM Transactions on Computer Systems  
While mobile processors are energy-efficient, they exact a price for that efficiency. The Atom is 5× more energy-efficient than the Xeon when comparing queries per Joule.  ...  However, search queries on Atom encounter higher latencies, different page results, and diminished robustness for complex queries.  ...  ACKNOWLEDGMENTS We thank Preet Bawa, William Casperson, Utkarsh Jain, Paul England, Mark Shaw, CJ Williams, Tanj Bennett, David Brooks, Qiang Wu, Dan Connors, and Michael Smith for their feedback on this  ... 
doi:10.1145/2003690.2003693 fatcat:6nqw6324tve6phpauc5fyo6ctq

Power management of online data-intensive services

David Meisner, Christopher M. Sadler, Luiz André Barroso, Wolf-Dietrich Weber, Thomas F. Wenisch
2011 Proceeding of the 38th annual international symposium on Computer architecture - ISCA '11  
In contrast to other server workloads, for which idle low-power modes have shown great promise, for OLDI workloads we find that energy-proportionality with acceptable query latency can only be achieved  ...  Second, we develop and validate a performance model to evaluate the impact of processor-and memory-based lowpower modes on the search latency distribution and consider the benefit of current and foreseeable  ...  Recently, many studies have looked at using low-power, low-cost server components to improve energy-efficiency for data center workloads [19, 28, 29] .  ... 
doi:10.1145/2000064.2000103 dblp:conf/isca/MeisnerSBWW11 fatcat:ei4ngxvitvgkjlscecexkbqgya

Power management of online data-intensive services

David Meisner, Christopher M. Sadler, Luiz André Barroso, Wolf-Dietrich Weber, Thomas F. Wenisch
2011 SIGARCH Computer Architecture News  
In contrast to other server workloads, for which idle low-power modes have shown great promise, for OLDI workloads we find that energy-proportionality with acceptable query latency can only be achieved  ...  Second, we develop and validate a performance model to evaluate the impact of processor-and memory-based lowpower modes on the search latency distribution and consider the benefit of current and foreseeable  ...  Recently, many studies have looked at using low-power, low-cost server components to improve energy-efficiency for data center workloads [19, 28, 29] .  ... 
doi:10.1145/2024723.2000103 fatcat:f3qcgkapwfecnoeqfqyexznb5a

An application-specific instruction set for accelerating set-oriented database primitives

Oliver Arnold, Sebastian Haas, Gerhard Fettweis, Benjamin Schlegel, Thomas Kissinger, Wolfgang Lehner
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
Lately, research focused on exploiting hardware features like superscalar execution units, SIMD, or multiple cores to speed up processing.  ...  A high query throughput and a low query latency are essential for the success of a database system.  ...  The extremely low-energy design enables us to put hundreds of chips on a single board without any thermal restrictions.  ... 
doi:10.1145/2588555.2593677 dblp:conf/sigmod/ArnoldHFSKL14 fatcat:7acpjrsqgrfgxlqepsud4pptvu

Energy-Efficient Big Data Analytics in Datacenters [chapter]

Farhad Mehdipour, Hamid Noori, Bahman Javadi
2016 Advances in Computers  
We later discuss the techniques for improving energy efficiency in the cloud-based datacenters for big data analytics.  ...  Also, as the scale of the datacenter is increasingly expanding, minimizing energy consumption and operational cost is a vital concern.  ...  with (many) slow cores.  ... 
doi:10.1016/bs.adcom.2015.10.002 fatcat:xpecmdmje5avvphkdrdnyv4fqi

Big data challenges in simulation-based science

Manish Parashar
2014 Proceedings of the sixth international workshop on Data intensive distributed computing - DIDC '14  
simula%on machines Simula/on Compute Nodes One compute node Processor core runs simula/on Processor core runs DOC worker Benefits of runtime feature extraction and tracking (1) Scientists can follow the  ...  (Fan-in) -MPI processes mapping (ranks/cpu) -System architecture (e.g., 16 cores/node vs. 32 cores/node) • Data motion energy depends on transfers 0.0000 0.0005 0.0010 0.0015 0.0020  ... 
doi:10.1145/2608020.2612731 dblp:conf/hpdc/Parashar14 fatcat:f4a4iueobjgfdhsq7mfytlhs3i

LINQits

Eric S. Chung, John D. Davis, Jaewon Lee
2013 Proceedings of the 40th Annual International Symposium on Computer Architecture - ISCA '13  
LINQits is prototyped on a 2W heterogeneous SoC called the ZYNQ processor, which combines dual ARM A9 processors with an FPGA on a single die in 28nm silicon technology.  ...  Our physical measurements show that LINQits improves energy efficiency by 8.9 to 30.6 times and performance by 10.7 to 38.1 times compared to optimized, multithreaded C programs running on conventional  ...  , that LINQits provides higher performance (10.7 to 38.1 times) and lower energy consumption (8.9 to 30.6 times) than optimized C code running on low-power, ARM A9 cores.  ... 
doi:10.1145/2485922.2485945 dblp:conf/isca/ChungDL13 fatcat:lmlfsmngcnarba2nktxsf6wrty

LINQits

Eric S. Chung, John D. Davis, Jaewon Lee
2013 SIGARCH Computer Architecture News  
LINQits is prototyped on a 2W heterogeneous SoC called the ZYNQ processor, which combines dual ARM A9 processors with an FPGA on a single die in 28nm silicon technology.  ...  Our physical measurements show that LINQits improves energy efficiency by 8.9 to 30.6 times and performance by 10.7 to 38.1 times compared to optimized, multithreaded C programs running on conventional  ...  , that LINQits provides higher performance (10.7 to 38.1 times) and lower energy consumption (8.9 to 30.6 times) than optimized C code running on low-power, ARM A9 cores.  ... 
doi:10.1145/2508148.2485945 fatcat:twq2wyvcpzegvbibmicfftuuje

DreamWeaver

David Meisner, Thomas F. Wenisch
2012 SIGARCH Computer Architecture News  
Numerous data center services exhibit low average utilization leading to poor energy efficiency.  ...  Recent research advocates the use of full-system idle low-power modes to combat energy losses, as such modes provide the deepest power savings with bounded response time impact.  ...  Acknowledgements The authors would like to thank Ricardo Bianchini and Philip Wells for feedback on early drafts of the paper and the anonymous reviewers for their feedback.  ... 
doi:10.1145/2189750.2151009 fatcat:7sujxy5s7feabcseqo5esrhewu

DreamWeaver

David Meisner, Thomas F. Wenisch
2012 Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS '12  
Numerous data center services exhibit low average utilization leading to poor energy efficiency.  ...  Recent research advocates the use of full-system idle low-power modes to combat energy losses, as such modes provide the deepest power savings with bounded response time impact.  ...  Acknowledgements The authors would like to thank Ricardo Bianchini and Philip Wells for feedback on early drafts of the paper and the anonymous reviewers for their feedback.  ... 
doi:10.1145/2150976.2151009 dblp:conf/asplos/MeisnerW12 fatcat:pbqoawkvxzf73gv6asqi2dpxua

A performance study of big data on small nodes

Dumitrel Loghin, Bogdan Marius Tudor, Hao Zhang, Beng Chin Ooi, Yong Meng Teo
2015 Proceedings of the VLDB Endowment  
In contrast, database query processing is always more energy-efficient on ARM servers, at the cost of slightly lower throughput.  ...  We show that I/O-intensive MapReduce workloads are more energy-efficient to run on Xeon nodes.  ...  Energy-efficient Servers With the evolution of low-power processors and flash storage, many research projects combine them to obtain fast, energy-efficient data processing systems [8, 24] .  ... 
doi:10.14778/2752939.2752945 fatcat:utk3f3g4ubhcpdh46fk6nwtxty

Energy-efficient cluster computing with FAWN

Vijay Vasudevan, David Andersen, Michael Kaminsky, Lawrence Tan, Jason Franklin, Iulian Moraru
2010 Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking - e-Energy '10  
This paper presents the architecture and motivation for a clusterbased, many-core computing architecture for energy-efficient, dataintensive computing.  ...  FAWN, a Fast Array of Wimpy Nodes, consists of a large number of slower but efficient nodes coupled with low-power storage.  ...  Finally, we would like to thank Michael Kozuch for his extensive insights and feedback on our work.  ... 
doi:10.1145/1791314.1791347 dblp:conf/eenergy/VasudevanAKTFM10 fatcat:6b4uj2avdba2hdd6hlonjpqwwm
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