• m-IPU

    messaging based Intelligent Processing Unit

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  • Crosstalk Computing

    Computing with Wires Leveraging Deterministic Interference

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  • ReMEC Fabric

    Non-Von Neumann Reconfigurable Magneto-Electric Computing Architecture

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Nano-Computing Research Group

Welcome to the Nanoscale Computing Research Group’s website. Lead by Dr. Mostafizur Rahman, the group is part of Computer Science and Electrical Engineering Department in the University of Missouri Kansas City. The group’s aim is to explore novel computing directions to solve critical challenges in more-than-moore scaling, energy constraint designs, physically vulnerable circuits for general purpose and application specific integrated circuits, bio-medical and defense applications. The scope of research also includes computing architectures for data intensive and intelligent applications. Towards these objectives, we investigate novel materials, nanoscale devices/structures, circuits, integrations and manufacturing techniques in cohesion. The research covers all aspects from material specifics to system level design, benchmarking and prototype development at scale.

Ongoing research projects include nanowire based fine-grained 3-D integrated circuits and multi-valued computing using magneto-electric devices for post-CMOS digital chips, crosstalk computing to augment CMOS, and for ultra-low power analog and high power microwave tolerant circuitry. Previous projects included 2D nanowire, Spin-Wave and Hybrid Graphene-CMOS fabrics.

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Featured Research: Interconnect Crosstalks for Digital Logic

New method for computing leveraging interconnect crosstalks can be revolutionary for future ICs,

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Featured Research: 3-D Thermal Management

Finite Element Model (FEM) based thermal modeling of fine-grained transistor level 3-D IC technologies.

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Invited Speech at ORNL Workshop on Beyond CMOS Computing

Dr. Rahman was one of the invited speakers in Beyond CMOS Computing workshop organized by Oak Ridge National Laboratory and Department of Energy on Nov 2017 in Annapolis, Maryland.

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Crosstalk Computing in IEEE Spectrum Feature Story

The Crosstalk work presented in IEEE Conference on Rebooting Computing 2017 was selected as one of the most creative ways to compute.

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48
Publications
840
THOUSAND USD GRANTS RECEIVED
8
RESEARCH MEMBERS

Selected Publications

Messaging-based Intelligent Processing Unit (m-IPU) for next generation AI computing

Rownak Chowdhury, Mostafizur Rahman

An Opensource Framework for Offloading Big Data and AI Tasks (OFFLOAD) to Heterogenous Compute Units

Satya Sai Siva Rama Krishna Akula, Rownak Chowdhury, Srinivas Rahul Sapireddy, Mostafizur Rahman

A Review of Crosstalk Polymorphic Circuits and their Scalability

Arif Iqbal, Srinivas Rahul, Dasari Sumanth, Kazi Asifuzzaman, Mostafizur Rahman