A Full-featured FPGA-Based pipelined architecture for SIFT extraction

P Kreowsky, B Stabernack - IEEE Access, 2021 - ieeexplore.ieee.org
Image feature detection is a key task in computer vision. Scale Invariant Feature Transform
(SIFT) is a prevalent and well known algorithm for robust feature detection. However, it is …

[HTML][HTML] Efficient OpenCL system integration of non-blocking FPGA accelerators

T Leppänen, A Lotvonen, P Mousouliotis… - Microprocessors and …, 2023 - Elsevier
OpenCL functions as a portability layer for diverse heterogeneous hardware platforms
including CPUs, GPUs, FPGAs, and hardware accelerators. However, OpenCL programs …

AI accelerators for cloud and server applications

R Shrestha, R Bajracharya, A Mishra, S Kim - Artificial intelligence and …, 2023 - Springer
AI accelerator is a specialized hardware processing unit that provides high throughput,
lower latency, and higher energy efficiency compared to existing server-based processors …

RtFog: A real-time FPGA-based fog node with remote dynamically reconfigurable application plane for fog analytics redeployment

TH Tan, CY Ooi, MN Marsono - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
This article presents a real-time FPGA (field-programmable gate array) based fog node
architecture with a remote dynamically reconfigurable application plane. The proposed …

Unified OpenCL integration methodology for FPGA designs

T Leppänen, P Mousouliotis… - 2021 IEEE Nordic …, 2021 - ieeexplore.ieee.org
OpenCL is a widely adopted open standard for general purpose programming of diverse
heterogeneous parallel platforms that can harness various device types such as CPUs …

Integrating devices in FPGA using an end-to-end hardware/software co-designedmessage-based approach

T Baumela - 2021 - theses.hal.science
Hardware development pace is increasing both in speed and complexity. This is for instance
the case for Multiprocessor System-on-a-chip, a class of systems optimized towards specific …