Gokul Kumar

dblp:80/7787 · DBLP profile ↗
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3ranked-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 · 2Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1

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
Processor architecture and microarchitecture · 44% Memory systems · 22% Integrated circuit design · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › chip multiprocessor
3d chip multiprocessor
0.212015
Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) · IEEE Trans. Computers 2015
Memory systems
3d-stacked memory
0.212015
Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) · IEEE Trans. Computers 2015
Processor architecture and microarchitecture
chip multiprocessor
0.212015
Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) · IEEE Trans. Computers 2015
Integrated circuit design › 3d integration
through-silicon via
0.212015
Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) · IEEE Trans. Computers 2015
Performance modeling and evaluation
benchmarking
0.112015
Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) · IEEE Trans. Computers 2015
Performance modeling and evaluation › benchmarking
parallel benchmark
0.112015
Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory) · IEEE Trans. Computers 2015
YearPublicationVenuePosition
2024 Dynamic link utilization empowered by reinforcement learning for adaptive storage allocation in MANET
R. P. Premanand, V. Senthilkumar, Gokul Kumar, A. Rajendran, A. Rajaram
Soft Comput.3
2015 Design and Analysis of 3D-MAPS (3D Massively Parallel Processor with Stacked Memory)
abstract
This paper describes the architecture, design, analysis, and simulation and measurement results of the 3D-MAPS (3D massively parallel processor with stacked memory) chip built with a 1.5 V, 130 nm process technology and a two-tier 3D stacking technology using 1.2$\micro\hbox{m}$-diameter, 6$\micro \hbox{m}$-height through-silicon vias (TSVs) and$3.4\nbsp\micro\hbox{m}$-diameter face-to-face bond pads. 3D-MAPS consists of a core tier containing 64 cores and a memory tier containing 64 memory blocks. Each core communicates with its dedicated 4KB SRAM block using face-to-face bond pads, which provide negligible data transfer delay between the core and the memory tiers. The maximum operating frequency is 277 MHz and the maximum memory bandwidth is 70.9 GB/s at 277 MHz. The peak measured memory bandwidth usage is 63.8 GB/s and the peak measured power is approximately 4 W based on eight parallel benchmarks.
Dae Hyun Kim 0004, Krit Athikulwongse, Michael B. Healy, Mohammad M. Hossain, Moongon Jung, Ilya Khorosh, Gokul Kumar, Young-Joon Lee, Dean L. Lewis, Tzu-Wei Lin, Chang Liu 0034, Shreepad Panth, Mohit Pathak, Minzhen Ren, Guanhao Shen, Taigon Song, Dong Hyuk Woo, Xin Zhao 0001, Joungho Kim, Ho Choi, Gabriel H. Loh, Hsien-Hsin S. Lee, Sung Kyu Lim
IEEE Trans. Computers7
2009 Aggressively voltage overscaled adaptive RF systems using error control at the bit and symbol levels
abstract
Voltage overscaling for power reduction in RF systems has been limited by the need to maintain sufficient overscaling guard bands to ensure that minimum signal quality requirements of the end to end communication link are met. In this paper, we propose error control mechanisms at the symbol (probabilistic symbol remapping) and bit levels (code based correction and feedback) that allow more aggressive voltage overscaling than is possible otherwise. Error control feedback is used to continuously monitor and control the tuning knobs of the front end RF circuitry to trade off signal quality vs. power consumption. Real time image and voice data is used to demonstrate this concept. Significant power savings is achieved using the proposed scheme while maintaining minimum signal quality as required by the wireless communication link.
Jayaram Natarajan, Gokul Kumar, Shreyas Sen, Muhammad Mudassar Nisar, Deuk Lee, Abhijit Chatterjee
IOLTS2