The DOI matches its Crossref record.
A Validation of DRAM RAPL Power Measurements
Abstract
Recent Intel processors support the Running Average Power Level (RAPL) interface, which among other things provides estimated energy measurements for the CPUs, integrated GPU, and DRAM. These measurements are easily accessible by the user, and can be gathered by a wide variety of tools, including the Linux perf_event interface. This allows unprecedented easy access to energy information when designing and optimizing energy-aware code.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Errors highly depend on the specific chipset and even the workload”
From Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning (2020) · cites this paper as Desrochers et al. (2016)
In the citing paper
“First, we rely on downstream hardware APIs which themselves have errors.”
From Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning (2020) · cites this paper as Desrochers et al. (2016)
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 26
- Allegro MicroSystems LLC. ACS715: Automotive Grade, Fully Integrated, Hall Effect-Based Linear Current Sensor IC with 2.1 kVRMS Voltage Isolation and a Low-Resistance Current Conductor Lightweight Profiling Specification, 2013.
- Burr-Brown. INA122: Single Supply, MicroPower Instrumentation Amplifier, Oct. 1997.
- 10.1109/IGCC.2011.6008598 · DOI
- 10.1145/1840845.1840883 · DOI
- J. Demmel and A. Gearhart. Instrumenting linear algebra energy consumption via on-chip energy counters. Technical report, Electrical Engineering and Computer Sciences, University of California at Berkeley, June 2012.
- 10.1109/CGC.2012.113 · DOI
- 10.1109/TPDS.2009.76 · DOI
- 10.1109/ISPASS.2013.6557170 · DOI
- 10.1109/IPDPSW.2015.70 · DOI
- 10.1145/2425248.2425252 · DOI
- Intel. Open Source Intel®HD Graphics Programmer's Reference Manual (PRM) Observability Performance Counters for Intel® Core™ Processor Family, 2013.
- Intel. Intel®Xeon®Processor E5-1600 and E5-2600 v3 Product Families, Volume 2 of 2, Register Data Sheet, June 2015.
- Intel Corporation. Intel® 64 and IA-32 Architectures Software Developer's Manual Volume 3: System Programming Guide, June 2015.
- 10.1109/ICEAC.2011.6136703 · DOI
- 10.1109/ICPP.2013.101 · DOI
- 10.1007/978-3-319-14325-5_42 · DOI
- Measurement Computing. USB-1208FS-Plus Analog and Digital I/O User's Guide, 2014.
- P. J. Mucci, S. Browne, C. Deane, and G. Ho. PAPI: A portable interface to hardware performance counters. In Proc. Department of Defense HPCMP User Group Conference, June 1999.
- 10.1007/s00450-014-0262-z · DOI
- 10.1109/MM.2012.12 · DOI
- Samsung Electronics. 240pin Unbuffered DIMM based on 4Gb D-die, Aug. 2013.
- SK hynix. DDR3 SDRAM Unbuffered DIMMs Based on 4Gb A-Die, 2013.
- SK hynix. DDR4 SDRAM Registered DIMM Based on 4Gb M-Die, 2013.
- 10.1109/ICPPW.2010.38 · DOI
- V. Weaver. perf_event_open manual page. In M. Kerrisk, editor, Linux Programmer's Manual. Dec. 2013.
- R. C. Whaley and J. Dongarra. Automatically tuned linear algebra software. In Proc. of Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999.
Cited by
Sorted by citations
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Henderson, P., Hu, J., Romoff, J., Brunskill, E., Jurafsky, D., & Pineau, J. (2020) · arXiv · doi:10.48550/arxiv.2002.05651 · Cited by 393
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
Ortiz Suárez, P. J., Romary, L., & Sagot, B. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.156 · Cited by 166
Metadata
- Authors
- Desrochers, S., Paradis, C., & Weaver, V. M.
- Affiliations
- University of Maine (US)
- Garmin Ltd.
- ORCID
- Weaver, Vincent M.
- Venue
- Proceedings of the Second International Symposium on Memory Systems
- Publisher
- ACM
- Published
- 2016-10-03
- Pages
- 455-470
- OpenAlex
- W2536999580
- Cited by
- 106
- References
- 0
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 13 · 2023: 11 · 2022: 13 · 2021: 13 · 2020: 10 · 2019: 11 · 2018: 16 · 2017: 3 · 2016: 1
- FWCI
- 7.86
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Symposium on Memory Systems (MEMSYS) (publishedVersion)
- Funders
- NSF (SSI-1450122)
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
- Keywords
- RAPL, energy measurement, Intel processors, power estimation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
