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Lookup tables (LUTs) are frequently used to efficiently store arrays of precomputed values for complex mathematical computations. When used in the context of neural networks, these functions exhibit a lack of recognizable patterns which presents an ...

In this article, we present a hardware offload of part of the delta merge process used in In-Memory Databases (IMDBs). The delta merge process is fundamental in maintaining high transactional throughput for IMDBs. Improving the efficiency of the delta ...

This document defines the Free Lossless Audio Codec (FLAC) format and its streamable subset. FLAC is designed to reduce the amount of computer storage space needed to store digital audio signals. It does this losslessly, i.e., it does so without losing ...

High-fidelity physics simulation codes, such as Flash-X, generate large amounts of simulation data. Much of the data written to files is sparse and can be compressed without significantly impacting the accuracy of the simulation or the quality of the ...

The performance of the GMRES iterative solver on GPUs is limited by the GPU main memory bandwidth. Compressed Basis GMRES outperforms GMRES by storing the Krylov basis in low precision, thereby reducing the memory access. An open question is whether ...

The growing number of AI-driven applications in mobile devices has led to solutions that integrate deep learning models with the available edge-cloud resources. Due to multiple benefits such as reduction in on-device energy consumption, improved latency, ...

Gaussian splatting, renowned for its exceptional rendering quality and efficiency, has emerged as a prominent technique in 3D scene representation. However, the substantial data volume of Gaussian splatting impedes its practical utility in real-world ...

With the increasing spatial and temporal resolutions of obtained remote sensing (RS) images, effective compression becomes critical for storage, transmission, and large-scale in-memory processing. Although image compression methods achieve a series of ...

The neural radiance field (NeRF) has made significant strides in representing 3D scenes and synthesizing novel views. Despite its advancements, the high computational costs of NeRF have posed challenges for its deployment in resource-constrained ...

The neural radiance fields (NeRF) have advanced the development of 3D volumetric video technology, but the large data volumes they involve pose significant challenges for storage and transmission. To address these problems, the existing solutions ...

Voxels are a geometric representation used for rendering volumes, multi-resolution models, and indirect lighting effects. Since the memory consumption of uncompressed voxel volumes scales cubically with resolution, past works have introduced data ...

We present a novel method for explainable vertebral fracture assessment (XVFA) in low-dose radiographs using deep neural networks, incorporating vertebra detection and keypoint localization with uncertainty estimates. We incorporate Genant’s semi-...

Edge-assisted wireless sensing is increasingly popular, where complex neural network models perform inference tasks on wireless channel state information (CSI) data streamed from IoT devices. However large volumes of CSI data sent across the network for ...

This study addresses the critical need for quantizing audio diffusion models to enable efficient synthesis on low-resource-constrained devices. We propose to design objective audio quality metrics for realism and fidelity, which can be utilized to ...

With the rising demands for high capacity memory and poor scalability of the existing DRAM-based main memories, the emerging Non-volatile memories captures higher attention due to their high density and low leakage power consumption. However, the possible ...

Aiming at the urgent needs of the construction of new power systems, this study thoroughly explores the storage, compression and encryption technologies for full-volume business traffic, aiming at realizing the efficient and secure operation of power ...

Deployments of Zstandard, or "zstd", can use different window sizes to limit memory usage during compression and decompression. Some browsers and user agents limit window sizes to mitigate memory usage concerns, thereby causing interoperability issues. ...

Prior research on neural architecture search (NAS) for adversarial robustness has revealed that a lightweight and adversarially robust sub-network could exist in a non-robust large teacher network. Such a sub-network is generally discovered based on ...

Large-scale capturing of real-world scenes as 3D point clouds (e.g., using LIDAR scanning) generates billions of points that are challenging to visualize. High storage requirements prevent the quick and easy inspection of captured datasets on user-grade ...

Delta encoding is a data reduction technique capable of calculating the differences (i.e., delta) among very similar files and chunks. It is widely used for various applications, such as synchronization replication, backup/archival storage, cache ...