Nikhil Matkar

dblp:373/2598 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 since 2021

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 · 33% Processor architecture and microarchitecture · 33% Energy-efficient computing · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing
carbon footprint estimation
0.812024
ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI · HPCA 2024
Processor architecture and microarchitecture › multi-chip architecture
chiplet architecture
0.812024
ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI · HPCA 2024
Integrated circuit design
heterogeneous integration
0.812024
ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI · HPCA 2024

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

yield modeling · 0.8advanced packaging overhead modeling · 0.8
YearPublicationVenuePosition
2024 ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI
abstract
Decades of progress in energy-efficient and low-power design have successfully reduced the operational carbon footprint in the semiconductor industry. However, this has led to increased embodied emissions, arising from design, manufacturing, and packaging. While existing research has developed tools to analyze embodied carbon for traditional monolithic systems, these tools do not apply to near-mainstream heterogeneous integration (HI) technologies. HI systems offer significant potential for sustainable computing by minimizing carbon emissions through two key strategies: “reducing” computation by “reusing” pre-designed chiplet IP blocks and adopting hierarchical approaches to system design. The reuse of chiplets across multiple designs, even spanning multiple generations of ICs, can substantially reduce carbon emissions throughout the lifespan. This paper introduces ECO-CHIP, a carbon analysis tool designed to assess the potential of HI systems toward sustainable computing by considering scaling, chip let, and packaging yields, design complexity, and even overheads associated with advanced packaging techniques. Experimental results from ECO-CHIP demonstrate that HI can reduce embodied carbon emissions by up to 30% compared to traditional monolithic systems. ECO-CHIP is integrated with other chiplet simulators and is applied to chiplet disaggregation considering other metrics such as power, area, and cost. ECO-CHIP suggests that HI can pave the way for sustainable computing practices.
Chetan Choppali Sudarshan, Nikhil Matkar, Sarma B. K. Vrudhula, Sachin S. Sapatnekar, Vidya A. Chhabria
HPCA2