Power Neighboring Interval Matching Based PMC Integration

Performance monitoring counters (PMCs) are of great value to monitor the status of processors and their further analysis and modeling. In this paper, we explore a novel problem called PMC integration, i.e., how to combine a group of PMCs which are collected asynchronously together. It is well known that, due to hardware constraints, the number of PMCs that can be measured concurrently is strictly limited. It means we cannot directly acquire all the phenomenon features that are related with the system performance. Clearly, this source raw data shortage is extremely frustrating to PMCs based analysis and modeling tasks, such as PMCs based power estimation. To deal with this problem, we introduce a neighboring interval power values based PMC data integration approach. Based on the activity similarity of easily collected power dissipation values, the proposed approach can automatically combine distinct categories of PMC data together and hence realize the recovery of intact raw PMC data. In addition, the significance and effectiveness of the proposed approach are experimentally verified on a common task, the PMCs based power consumption modeling.

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Fuzzy-Based Thermal Management Scheme for 3D Chip Multicores with Stacked Caches

Electronics ◽

10.3390/electronics9020346 ◽

2020 ◽

Vol 9 (2) ◽

pp. 346 ◽

Cited By ~ 1

Author(s):

Lili Shen ◽

Ning Wu ◽

Gaizhen Yan

Keyword(s):

Power Consumption ◽

Thermal Management ◽

System Performance ◽

Control Policy ◽

Three Dimension ◽

Processor Core ◽

Management Scheme ◽

And Performance ◽

On Chip ◽

Silicon Vias

By using through-silicon-vias (TSV), three dimension integration technology can stack large memory on the top of cores as a last-level on-chip cache (LLC) to reduce off-chip memory access and enhance system performance. However, the integration of more on-chip caches increases chip power density, which might lead to temperature-related issues in power consumption, reliability, cooling cost, and performance. An effective thermal management scheme is required to ensure the performance and reliability of the system. In this study, a fuzzy-based thermal management scheme (FBTM) is proposed that simultaneously considers cores and stacked caches. The proposed method combines a dynamic cache reconfiguration scheme with a fuzzy-based control policy in a temperature-aware manner. The dynamic cache reconfiguration scheme determines the size of the cache for the processor core according to the application that reaches a substantial amount of power consumption savings. The fuzzy-based control policy is used to change the frequency level of the processor core based on dynamic cache reconfiguration, a process which can further improve the system performance. Experiments show that, compared with other thermal management schemes, the proposed FBTM can achieve, on average, 3 degrees of reduction in temperature and a 41% reduction of leakage energy.

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A LOW-POWER AND HIGH-SPEED D FLIP-FLOP USING A SINGLE LATCH

Journal of Circuits System and Computers ◽

10.1142/s0218126602000239 ◽

2002 ◽

Vol 11 (01) ◽

pp. 51-55

Author(s):

ROBERT C. CHANG ◽

L.-C. HSU ◽

M.-C. SUN

Keyword(s):

Power Consumption ◽

Low Power ◽

Power Dissipation ◽

High Speed ◽

Operating Frequency ◽

Flip Flop ◽

Lower Power ◽

Simulation Results ◽

Hspice Simulation

A novel low-power and high-speed D flip-flop is presented in this letter. The flip-flop consists of a single low-power latch, which is controlled by a positive narrow pulse. Hence, fewer transistors are used and lower power consumption is achieved. HSPICE simulation results show that power dissipation of the proposed D flip-flop has been reduced up to 76%. The operating frequency of the flip-flop is also greatly increased.

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CONTROL SYSTEM PERFORMANCE MONITORING: NEW DEVELOPMENTS AND PRACTICAL ISSUES

IFAC Proceedings Volumes ◽

10.3182/20020721-6-es-1901.01618 ◽

2002 ◽

Vol 35 (1) ◽

pp. 387-392 ◽

Cited By ~ 5

Author(s):

G.A. Dumont ◽

L. Kammer ◽

B.J. Allison ◽

L. Ettaleb ◽

A.A. Roche

Keyword(s):

Control System ◽

System Performance ◽

Performance Monitoring ◽

New Developments ◽

System Performance Monitoring

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A Dialectic Data Integration Approach for Mixed Methods Survey Validation

10.18260/p.23376 ◽

2015 ◽

Author(s):

Nicholas Fila ◽

Justin Hess ◽

Senay Purzer

Keyword(s):

Mixed Methods ◽

Data Integration ◽

Survey Validation ◽

Integration Approach

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A Multiscale Bayesian Data Integration Approach for Mapping Radionuclide Contamination

Resilience: A New Paradigm of Nuclear Safety ◽

10.1007/978-3-319-58768-4_5 ◽

2017 ◽

pp. 57-65

Author(s):

Haruko Murakami Wainwright ◽

Masahiko Okumura ◽

Kimiaki Saito

Keyword(s):

Data Integration ◽

Integration Approach ◽

Radionuclide Contamination

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Impact of data resolution on peak hour factor estimation for transportation decisions

Open Engineering ◽

10.2478/s13531-013-0121-x ◽

2013 ◽

Vol 3 (4) ◽

Cited By ~ 1

Author(s):

Jan-Mou Li ◽

Lee Han ◽

Chung-Hao Chen

Keyword(s):

Data Integration ◽

Delay Estimation ◽

Traffic Information ◽

Primary Data ◽

Raw Data ◽

Control Delay ◽

Detection Systems ◽

Quality Issue ◽

Future System ◽

Loop Detection

AbstractInductance loop detection systems serve as a primary data source to contemporary traffic information systems. Measures like 20-second or 30-second average velocity, flow, and lane occupancy can be aggregated from individual loop detector actuation sampled at 60 Hz typically. Practically, these measures would sometimes be further aggregated into a much lower, e.g. 15-minute, resolution and then the raw data were lost. Valuable traffic information like flow variation may be distorted when the lower resolution aggregation is practiced. A biased conclusion could be drawn from a data integration system consisted of this kind of distortions. Three approaches estimating a peak hour factor based on traffic volume from loop detection systems are introduced in this paper to explore such a quality issue for data integration systems. Peak hour factor is commonly used in Highway Capacity Manual for determining and evaluating future system needs. By processing the raw data with the introduced approaches, different PHFs can be determined from a same traffic dataset. It is found that 2% to 5% (about one standard deviation from the mean) reduction in PHF may have 5 to 20 seconds increase in control delay estimation. The results suggest that distortion of control delay estimation at a signalized intersection exists due to an improper aggregation. That is, data quality might not be good enough for a right decision if the data were not processed appropriately.

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