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Harsh Rawat

dblp:153/0667 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none

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

Systems, architecture and hardware · 4 · 2 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
Energy-efficient computing · 44% Electronic design automation · 28% Memory systems · 28%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power modeling
architectural-level power estimation
0.212015
FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015
Electronic design automation
power estimation
0.212015
FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015
Energy-efficient computing
dynamic power reduction
0.112015
FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015
Energy-efficient computing
low-power design
0.112015
FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2015

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

pre-RTL power modeling · 0.2VCD-based simulation · 0.2
YearPublicationVenuePosition
2025 AnalogSim: a Modeling Framework for SRAM-based Analog In-Memory Computing
Talha Bin Aslam, Anuj Grover, Harsh Rawat
ISCAS3
2022 3-Stage Pipelined Hierarchical SRAMs with Burst Mode Read in 65nm LSTP CMOS
abstract
As the technology scaling has happened, logic performance has improved at a much faster rate than SRAM performance. Therefore, in SRAMs, required performance improvement is achieved by design and architecture level changes. This work presents pipelined hierarchical SRAM and compares it with a conventional non-hierarchical SRAM design on the axes of Performance, Power, and Area. We show that a pipelined SRAM of size 8192×64 m16 with integrated burst mode, operates at 40% lesser dynamic power and is 31% faster than a conventional non-hierarchical SRAM design in 65nm Low stand-by Power(LSTP) CMOS technology. When compared to hierarchical design, it operates at 19% lesser dynamic power and is 17% faster with an area increase of 5%.
Mukesh Kumar Srivastav, Rimjhim, Roshan Mishra, Anuj Grover, Kedar Janardan Dhori, Harsh Rawat
ISCAS6
2015 FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems
abstract
Framework is developed for estimation of power at pre register transfer level (RTL) stage for structured memory sub-systems. Power estimation model is proposed specifically targeting power consumed by clock network and interconnect. The model is validated with VCD-based simulation on back-annotated netlist of an 8 MB memory sub-system used as video RAM (VRAM) for high-end graphics applications. This methodology also forms the basis for low-power exploration driving floor plan choice, gating structure of data, and clock network. We demonstrate 57% reduction in dynamic power by using low-power techniques for the 8 MB VRAM used as frame buffer in a graphics processor. FALPEM can be extended to other applications like processor cache and ASIC designs.
Amit Chhabra, Harsh Rawat, Pascal Tessier, Daniel Pierredon, Laurent Bergher, Promod Kumar
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2
2014 Write Assist Circuit to Cater Reliability and Floating Bit Line Problem of Negative Bit Line Assist Technique for Single or Multiport Static Random Access Memory
abstract
We propose adaptive negative bit line write assist (WA) circuit for static random access memory (SRAM). It provides controlled overdrive voltage (or negative bump) across the full range of operating voltage. This allows dynamic voltage and frequency scaling without penalizing the reliability at higher voltage and temperature. Design is implemented in CMOS 32NM low power technology for dual port (DP) SRAM bit cell 0.390u2 (DP390) having a normal operating range from 0.9 to 1.1 V, extended to 0.75-1.1 V by utilizing proposed WA circuit. This design has an area overhead of 4.5%. Write cycle performance improvement and dynamic power reduction achieved is 10% and 8%, respectively, at 0.9 V with respect to the design without WA.
Kedar Janardan Dhori, Harsh Rawat
IEEE Trans. Very Large Scale Integr. Syst.3