Neuromorphic sentiment analysis using spiking neural networks
RK Chunduri, DG Perera - Sensors, 2023 - mdpi.com
Over the past decade, the artificial neural networks domain has seen a considerable
embracement of deep neural networks among many applications. However, deep neural …
embracement of deep neural networks among many applications. However, deep neural …
SPHERE: A multi-SoC architecture for next-generation cyber-physical systems based on heterogeneous platforms
This paper presents SPHERE, a project aimed at the realization of an integrated framework
to abstract the hardware complexity of interconnected, modern system-on-chips (SoC) and …
to abstract the hardware complexity of interconnected, modern system-on-chips (SoC) and …
On the dynamic reconfigurable implementations of MISTY1 and KASUMI block ciphers
Novel hardware architectures for dynamic reconfigurable implementation of 64-bit MISTY1
and KASUMI block ciphers are proposed to enhance the performance of cryptographic chips …
and KASUMI block ciphers are proposed to enhance the performance of cryptographic chips …
HDL Code Variation: Impact on FPGA Performance Metrics and CAD Tools
ID Atwell, DG Perera - 2024 IEEE Pacific Rim Conference on …, 2024 - ieeexplore.ieee.org
With the proliferation of utilizing FPGAs for hardware designs across various application
domains, the interpretive role that the CAD tools play in the implementation of these FPGA …
domains, the interpretive role that the CAD tools play in the implementation of these FPGA …
An efficient fpga-based hardware accelerator for convex optimization-based svm classifier for machine learning on embedded platforms
S Ramadurgam, DG Perera - Electronics, 2021 - mdpi.com
Machine learning is becoming the cornerstones of smart and autonomous systems. Machine
learning algorithms can be categorized into supervised learning (classification) and …
learning algorithms can be categorized into supervised learning (classification) and …
GCN-RA: A graph convolutional network-based resource allocator for reconfigurable systems
SM Mohtavipour, HS Shahhoseini - Journal of Computational Science, 2023 - Elsevier
Nowadays, hardware architectures with various reconfiguration capabilities provide
significant computational speedup using parallelism and concurrency features. However …
significant computational speedup using parallelism and concurrency features. However …
Discrepancy in Execution Time: Static vs. Dynamic Reconfigurable Hardware
DG Perera, KF Li - 2024 IEEE Pacific Rim Conference on …, 2024 - ieeexplore.ieee.org
Utilization of FPGAs has increased dramatically in various application domains, mainly due
to their unique traits. Especially, FPGAs' dynamic partial reconfiguration feature enables …
to their unique traits. Especially, FPGAs' dynamic partial reconfiguration feature enables …
[HTML][HTML] On the transition to post-quantum cryptography in the Industrial Internet of Things
S Paul - 2022 - tuprints.ulb.tu-darmstadt.de
Large-scale quantum computers will be able to efficiently solve the mathematical problems
of currently deployed public-key cryptography, rendering RSA and elliptic-curve …
of currently deployed public-key cryptography, rendering RSA and elliptic-curve …
Recpe: A pe for reconfigurable lightweight cryptography
J Anderson, Y Alkabani… - 2021 IEEE 34th …, 2021 - ieeexplore.ieee.org
The Internet-of-Things has given rise to an over-whelming number of resource-constrained
devices which must communicate securely with a core server. Due to the variability in …
devices which must communicate securely with a core server. Due to the variability in …
Composing Efficient Computational Models for Real-Time Processing on Next-Generation Edge-Computing Platforms
In the era of IoT and smart systems, an enormous amount of data will be generated from
various IoT/smart devices in smart homes, smart cars, etc. Typically, this big data is collected …
various IoT/smart devices in smart homes, smart cars, etc. Typically, this big data is collected …