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Arindam Mukherjee
Researcher at University of North Carolina at Charlotte
Publications - 45
Citations - 740
Arindam Mukherjee is an academic researcher from University of North Carolina at Charlotte. The author has contributed to research in topics: Reconfigurable computing & Integrated circuit layout. The author has an hindex of 12, co-authored 44 publications receiving 716 citations. Previous affiliations of Arindam Mukherjee include University of California, Santa Barbara.
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A Survey of Communications and Networking Technologies for Energy Management in Buildings and Home Automation
TL;DR: This paper presents some popular DR and DSM initiatives that include planning, implementation and evaluation techniques for reducing energy consumption and peak electricity demand, and outlines directions for promoting the shift towards a society with low energy demand and low greenhouse gas emissions.
Proceedings ArticleDOI
Interconnect pipelining in a throughput-intensive FPGA architecture
TL;DR: This paper discusses a pipelined interconðnect scheme to support the strict timing requirements that is necesðsitated by the wave-steered design style and describes designs that best fit the new architecture.
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Testing and Diagnosis of Realistic Defects in Digital Microfluidic Biochips
TL;DR: A testing and diagnosis methodology to detect catastrophic faults and locate faulty regions is presented and the proposed method is evaluated using a biochip performing real-life multiplexed bioassays.
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PITIA: an FPGA for throughput-intensive applications
TL;DR: PITIA as mentioned in this paper is a high throughput field-programmable gate array (FPGA) architecture, which combines the high performance of application specific integrated circuits (ASICs) and the flexibility afforded by the reconfigurability of FPGAs.
Proceedings ArticleDOI
Defect-oriented testing and diagnosis of digital microfluidics-based biochips
TL;DR: This work presents a testing and diagnosis methodology to detect catastrophic faults and locate faulty regions, and is evaluated using a biochip performing real-life multiplexed bioassays