Characterization of OLTP Workloads: from Micro-architecture to Power/Performance
- Utku Sirin | EPFL, Lausanne, Switzerland
Traditional online transaction processing (OLTP) systems severely under-utilize the micro-architectural resources; more than half of the CPU cycles go to stalls, and the number of instructions retired per cycle barely reaches one on machines that are able to retire up to four. This causes large power waste, and renders the power-hungry, heavily optimized Intel Xeon processors energy-inefficient. In this talk, we firstly compare the traditional and main-memory OLTP systems in terms of their micro-architectural behavior on an Intel Xeon processor. We then proceed by comparing the high-end Intel Xeon processor with a recently announced server-grade ARM processor in terms of their power, throughput and latency characteristics when running OLTP workloads. Based on our observations, we lastly comment on power-saving and performance opportunities in co-designing OLTP software and hardware.
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Vivek Narasayya
Partner Research Manager
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Series: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
- Dr. Pascal O. Zinn
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
- Sophia Mehdizadeh
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Tongue-Gesture Recognition in Head-Mounted Displays
- Tan Gemicioglu
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
- Shoken Kaneko
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Audio-based Toxic Language Detection
- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
- Forrest Iandola,
- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
- Ashique Khudabukhsh
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Towards Mainstream Brain-Computer Interfaces (BCIs)
- Brendan Allison
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Learning Structured Models for Safe Robot Control
- Subramanian Ramamoorthy
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