Contrastive pretraining provides robust representations by ensuring their invariance to different image transformations while simultaneously preventing representational collapse. Equivariant contrastive learning, on the other hand, provides ...

In recent years, Artificial Intelligence (AI) has reshaped various facets of our day-to-day lives. To evaluate both hardware and software deployment of Machine Learning (ML) applications, it is necessary to measure system-wide performance and accuracy. ...

Clinical studies have already illustrated the associations between gut microbes and diseases, yet fundamental questions remain unclear that how we can universalize this knowledge. Considering the important role of human gut microbial composition ...

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• Metagenomics provides a way to analyze and understand the microbes and their role in a community manner.
• Disease-specific gut microbiome study may help to understand disease-specific microbial diversity and microbial shifting.
• Five ...

High-Performance Computing is the target system for virtual screening applications, which aim to suggest which candidates to test in the drug discovery process. The HPC heterogeneity of modern systems raises the functional and performance portability ...

As semiconductor technology advances and transistor feature sizes shrink, the increasing significance of process variation poses critical challenges to the reliability of semiconductor devices. This paper thoroughly explores the impact of process ...

Retinal diseases affect the eye’s retina and are the leading cause of vision loss. Timely detection and diagnosis can provide more treatment options and preserve vision. Retinal imaging, such as Optical Coherence Tomography (OCT), is used for ...

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Retinal disorders are of paramount importance in human life and if they do not receive treatment for retinal disorders, humans may undergo visual complications. The physician may diagnose more easily with optical coherence tomography (OCT) in ...

The lattice Boltzmann method is a highly scalable Navier-Stokes solver that has been applied to flow problems in a wide array of domains. However, the method is bandwidth-bound on modern GPU accelerators and has a large memory footprint. In this paper, ...

In recent history, GPUs became a key driver of compute performance in HPC. With the installation of the Frontier supercomputer, they became the enablers of the Exascale era; further largest-scale installations are in progress (Aurora, El Capitan, ...

This tutorial introduces the Adaptable Intelligent Engine (AIE), a new type of compute element in the latest AMD technology. The AI Engines are a tiled array of Very Long Instruction Word (VLIW) and Single Instruction Multiple Data (SIMD) processing ...

The two largest barriers to adoption of FPGA platforms for HPC applications are the difficulty of programming FPGAs and the performance gap when compared to GPUs. To address the first barrier, new ecosystems like Intel oneAPI, and Xilinx Vitis HLS ...

In an era of increasing computer system diversity, the portability of software from one system to another plays a central role. Software portability is important for the software developers as many software projects have a lifetime ...

• We discuss the Ginkgo design separating the numerical core from the architecture-specific backends written in the architecture-specific language to allow for ...

• Ophthalmic disease analysis using convolutional neural networks and self-attention mechanisms.

A retina optical coherence tomography (OCT) image differs from a traditional image due to its significant speckle noise, irregularity, and inconspicuous features. A conventional deep learning architecture cannot ...

An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection system using a Deep-...

In the field of ophthalmology, different imaging modalities are commonly used to carry out different clinical diagnostic procedures. Currently, both optical coherence tomography (OCT) and optical coherence tomography angiography (OCT-A) have made ...

We present in a simple and pedagogic way the preliminary code adaptation made in the C++ parallel Particle-In-Cell code Smilei to speed-up vectorized algorithms for the Fujitsu ARM-based A64FX processor. We analyze the performance of Smilei on A64FX ...

Recently, security researchers have found two hardware security vulnerabilities namely Spectre and Meltdown, related to computer memory. They are not singular, many variants of these two vulnerabilities are being a head ache for secure hardware ...

SOX certification consists of several steps. The remediation stage is one in which the deficiencies pointed out by the external auditor in the previous year are remedied so that they do not occur again in the certification of the current year. ...

This paper proposes Deep Feature Fusion, a multi-layer feature fusion technique based on a deep convolutional neural network (DCNN), to build a fusion model for detecting retinal diseases from Optical Coherence Tomography (OCT) images. Although OCT has ...

To develop a convolutional neural network visualization strategy so that optical coherence tomography (OCT) features contributing to the evolution of age‐related macular degeneration (AMD) can be better determined. We have trained a U‐Net model to ...