High-level synthesis (HLS) aims at democratizing custom hardware acceleration with highly abstracted software-like descriptions. However, efficient accelerators still require substantial low-level hardware optimizations, defeating the HLS intent. In the ...

Secret sharing is particularly important in the field of information security, which allows for the reconstruction of secret information from secure shares. However, due to the large amount of data and non-integer data type of 3D (three-dimensional) ...

Deep learning Processor Unit (DPU) is a highly configurable CNN accelerator that supports a variety of CNNs and can be implemented with multiple instances on the same FPGA. Many applications deploy concurrent execution of different CNNs and in such a ...

Recently, the construction of cryptographic schemes based on hard lattice problems has gained immense popularity. Apart from being quantum resistant, lattice-based cryptography allows a wide range of variations in the underlying hard problem. As ...

Modern cyber-physical systems often make use of heterogeneous systems-on-chip with reconfigurable logic to provide adequate computing power and flexible I/O. However, modeling, verifying, and implementing the computations spanning CPUs and reconfigurable ...

Dynamic restructuring of cryptographic implementations has been proposed as a viable countermeasure against power and electro-magnetic-based Side Channel Attacks (SCA). These kind of countermeasures involve shuffling between functionally identical but ...

FPGAs, characterized by their low power consumption and swift response, are ideally suited for parallel computations associated with object detection tasks, making them a popular choice for target detection and neural network acceleration. ...

• Parallel computation boosts speed and efficiency in convolutional layers.
• Integrated parallel processing enhances convolution activation pooling.
• Efficient memory management reduces read/write time for feature layers.
• ...

Many human tracking methods by deep learning rely on powerful computing resources. For embedded platforms with limited resources, efficient use of resources is a priority. In this paper, we design an object detection and tracking system based on ...

• Design an efficient human tracking system using a single-object tracker with feature-based and detection-based CNN method.
• Deploy YOLO v3 on a dual-core DPU partitioned with a reliable design methodology and rapid design framework.

The use of artificial intelligence in healthcare applications offers significant accuracy and utility for medical practitioners and patients. Deep learning has made a substantial positive impact on the healthcare industry by reducing the use of ...

Situation assessment is an important basis for achieving autonomous decision-making in air combat. The ever-increasing multi-source fusion information perceived by situation assessment system poses a computational challenge to current airborne ...

Large language models (LLMs) have shown immense potential for applications in information retrieval and knowledge management, but their computational and memory demands pose challenges for resource-constrained devices. In response, this work introduces ...

Over the years, Field Programmable Gate Arrays (FPGA) have been gaining popularity in the High Performance Computing (HPC) field, because their reconfigurability enables very fine-grained optimizations with low energy cost. However, the different ...

• High-level task-based programming model for FPGA clusters with MPI-like communication.
• High performance computing applications can be easily adapted to FPGA clusters.
• Automatic MPI communication inferred by the runtime, users do ...

In the application of image super-resolution (SR) based on field-programmable gate array (FPGA), depthwise separable convolution is widely utilized. However, existing network designs overly simplify the structures used for deep feature extraction ...

Hash Tables are important data structures for a wide range of data intensive applications in various domains. They offer compact storage for sparse data, but their performance has difficulties to scale with the rapidly increasing volumes of data as they ...

Advances in quantum computing have posed a future threat to today’s cryptography. With the advent of these quantum computers, security could be compromised. Therefore, the National Institute of Standards and Technology (NIST) has issued a request for ...

Embedded digital devices are progressively deployed in dependable or safety-critical systems. These devices undergo significant hardware ageing, particularly in harsh environments. This increases their likelihood of failure. It is crucial to understand ...

Many high-demand digital services need to perform several cryptographic operations, such as key exchange or security credentialing, in a concise amount of time. In turn, the security of some of these cryptographic schemes is threatened by advances in ...

FPGAs have been shown to operate reliably within harsh radiation environments by employing single-event upset (SEU) mitigation techniques, such as configuration scrubbing, triple-modular redundancy, error correction coding, and radiation aware ...

This manuscript makes the claim of having computed the \(9\)th Dedekind number, D(9). This was done by accelerating the core operation of the process with an efficient FPGA design that outperforms an optimized 64-core CPU reference by 95\(\times\). ...

Every year, cardiovascular diseases cause millions of deaths worldwide. These diseases involve complex mechanisms that are difficult to study. To remedy this problem, we propose to develop a heart–brain platform capable of reproducing the ...