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Jayathi Murthy

dblp:18/2241 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 70% Energy-efficient computing · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design › low-power circuit design
leakage power estimation
0.112007
Self-Consistent Approach to Leakage Power and Temperature Estimation to Predict Thermal Runaway in FinFET Circuits · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007
Integrated circuit design
low-power circuit design
0.112007
Self-Consistent Approach to Leakage Power and Temperature Estimation to Predict Thermal Runaway in FinFET Circuits · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007
Energy-efficient computing
thermal management
0.112007
Self-Consistent Approach to Leakage Power and Temperature Estimation to Predict Thermal Runaway in FinFET Circuits · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007
Integrated circuit design › semiconductor devices › multi-gate devices
FinFET circuit design
0.012007
Self-Consistent Approach to Leakage Power and Temperature Estimation to Predict Thermal Runaway in FinFET Circuits · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2007

Methods — techniques the papers use, named apart from their topics

thermal modeling · 0.1self-consistent leakage-temperature estimation · 0.1
YearPublicationVenuePosition
2007 The effect of process variation on device temperature in FinFET circuits
abstract
With technology scaling, devices are increasingly prone to process variations. These variations cause a large spread in leakage power, since it is extremely sensitive to process variations, which in turn results in larger temperature variations across different dies. In this paper, we investigate the temperature variations in FinFET circuits considering variations in following parameters (i) channel length and (ii) body thickness. We estimate temperature variation under process fluctuation by Monte Carlo simulation with thermal models to solve temperature and leakage power self-consistently. The results show that high activity circuits exhibit larger temperature variations since increased temperature increments leakage power and vice versa. It is also shown that under moderate process variation (3sigma=10% for channel length and body thickness) and a nominal primary input activity of 0.4, thermal runaway can occur in more than 15% of chips in 28 nm FinFET technology, severely degrading manufacturing yield.
Jung Hwan Choi, Jayathi Murthy, Kaushik Roy 0001
ICCAD2
2007 Self-Consistent Approach to Leakage Power and Temperature Estimation to Predict Thermal Runaway in FinFET Circuits
abstract
In this paper, we propose a methodology to solve leakage power self-consistently with temperature to predict thermal runaway. We target 28-nm-technology-node FinFET-based circuits as they are more prone to thermal runaway because of self-heating and less efficient heat dissipation compared to bulk metal-oxide-semiconductor field-effect transistors. We have generated thermal models for logic cells-inverter, NAND, and NOR-to self-consistently determine the temperature map of a circuit block. Our cell-level thermal models account for lateral heat flow (contribution of neighboring cells) along with vertical heat dissipation to the heat sink. We predict positive feedback between subthreshold leakage and temperature for all the cells in a given floor plan. Our proposed condition for thermal runaway shows the design tradeoff between the primary input (PI) activity of a circuit block, subthreshold leakage at the room temperature, and thermal resistance of the package. We show that, in FinFET circuits, thermal runaway can occur at the International Technology Roadmap for Semiconductors-specified subthreshold leakage (of 150 for high performance) for a nominal PI activity of 0.5 and typical package thermal resistance. In addition, we show that the maximum temperature rise in an integrated circuit is limited by package limitations.
Jung Hwan Choi, Aditya Bansal, Mesut Meterelliyoz, Jayathi Murthy, Kaushik Roy 0001
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.4
2006 Compact thermal models for estimation of temperature-dependent power/performance in FinFET technology
abstract
With technology scaling, elevated temperatures caused by increased power density create a critical bottleneck modulating the circuit operation. With the advent of FinFET technologies, cooling of a circuit is becoming a bigger challenge because of the thick buried oxide inhibiting the heat flow to the heat sink and confined ultra-thin channel increasing the thermal resistivity. In this work, we propose compact thermal models to predict the temperature rise in FinFET structures. We develop cell-level compact thermal models for standard INV, NAND and NOR gates accounting for the heat transfer across the six faces of a cell. Temperature maps of benchmark circuits exhibit close correspondence with dynamic power maps because of confined regions of heat generation separated by low thermal conductivity material. It is illustrated that temperature-aware timing analysis is imperative, because of high inter-cell temperature gradient. Accurate prediction of temperature in the early phase of design cycle gives valuable estimation of power/performance/reliability of a circuit block and guides in the design of more robust circuits.
Aditya Bansal, Mesut Meterelliyoz, Jung Hwan Choi, Jayathi Murthy, Kaushik Roy 0001
ASP-DAC5
2006 Leakage power dependent temperature estimation to predict thermal runaway in FinFET circuits
abstract
In this work we propose a methodology to self-consistently solve leakage power with temperature to predict thermal runaway. We target 28n m FinFET based circuits as they are more prone to thermal runaway compared to bulk-MOSFETs. We generate thermal models for logic cells to self-consistently determine the temperature map of a circuit block. Our proposed condition for thermal runaway shows the design trade off between the primary input (PI) activity of a circuit block, sub-threshold leakage at the room temperature and the thermal resistance of the package. We show that in FinFET circuits, thermal runaway can occur at the ITRS specified sub-threshold leakage (150nA/μm, highperformance) for a nominal PI activity of 0.5 and typical package thermal resistance.
Jung Hwan Choi, Aditya Bansal, Mesut Meterelliyoz, Jayathi Murthy, Kaushik Roy 0001
ICCAD4