Latest Articles for Computing

Discover new techniques to improve efficiency in deep neural network training.

Learn how quantum computing, especially the HHL algorithm, is changing the way we solve complex problems.

Examining how magnetic fields affect quantum entanglement in molecular magnets.

Modular spin-circuits merge physics and technology for advanced computing solutions.

A look at AIMC and DIMC for machine learning tasks.

Discover how cycloids help model synchronization in processes across various fields.

Examining the impact of calibration set quality on LLM performance post-quantization.

This article presents a novel approach to analyze high-dimensional entangled systems.

This article examines the impact of local measurements on quantum state distinguishability.

A look at the performance of soft GPGPUs versus IP cores in FFT tasks.

Arctic optimizes qubit movement in neutral atom quantum computers for improved performance.

Quantum computing leverages unique quantum principles to perform complex calculations rapidly.

Exploring the intersection of quantum computing and geometric algebra for better insights.

New methods are transforming how machines understand and generate human language.

A fresh approach to making neural networks more efficient while keeping performance high.

Exploring the benefits of regular look-around in attributed tree transducers.

Exploring how DFAs help synchronize machines for efficient operation.

A look at how converged computing blends HPC and cloud for scientific advancements.

CORTEX leverages supercomputing to enhance brain simulation and understanding.

Ising machines aim for efficient solutions to complex problems with low energy use.

This article explores methods to enhance the reliability of research artifacts in computing.

Freya PAGE improves efficiency in distributed computing with uneven computer speeds.

A novel method enhances data sharing for efficient GNN training.

Edge computing and Near-Memory Computing are changing data processing dynamics.

A new method improves memory access for dynamic graph applications, boosting performance and efficiency.

Quantum computing offers new solutions for complex optimization challenges.

New methods for valleytronics using graphene and TMD materials show promise for future computing.

GPUs improve efficiency in solving nonlinear programming problems through innovative methods.

Discover the role of continuous variables in advancing quantum technology.

Samsara improves reliability and security in hardware accelerators, ensuring efficient computing.

A new instruction set boosts performance in data streaming tasks.

A new method to improve machine learning training with diverse data.

Exploring the dynamics of centralized and decentralized learning methods.

Optimizing memory management for better performance in embedded systems.

A study examining the impact of honor pledges on cheating in programming assignments.

Study reveals how holes in WSe₂ can enhance quantum devices.

LLload makes it easier to track job performance on HPC systems.

Combining pruning and quantization streamlines DNN efficiency for smaller devices.

Coded computing offers a fresh approach to optimize server efficiency.

DRLQ enhances task assignment for quantum resources, boosting efficiency in cloud computing.